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6.047 Computational Biology (MIT) 6.047 Computational Biology (MIT)

Description

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets. This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

Subjects

Genomes | Genomes | Networks | Networks | Evolution | Evolution | computational biology | computational biology | genomics | genomics | comparative genomics | comparative genomics | epigenomics | epigenomics | functional genomics | motifs | functional genomics | motifs | phylogenomics | phylogenomics | personal genomics | personal genomics | algorithms | algorithms | machine learning | machine learning | biology | biology | biological datasets | biological datasets | proteomics | proteomics | sequence analysis | sequence analysis | sequence alignment | sequence alignment | genome assembly | genome assembly | network motifs | network motifs | network evolution | network evolution | graph algorithms | graph algorithms | phylogenetics | phylogenetics | python | python | probability | probability | statistics | statistics | entropy | entropy | information | information

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HST.508 Quantitative Genomics (MIT) HST.508 Quantitative Genomics (MIT)

Description

This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation. This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation.

Subjects

genomics | genomics | quantitative genomics | quantitative genomics | comparative genomics | comparative genomics | genes | genes | genome | genome | SNPs | SNPs | haplotypes | haplotypes | sequence alignment | sequence alignment | protein structure | protein structure | protein folding | protein folding | proteomics | proteomics | structural genomics | structural genomics | functional genomics | functional genomics | networks | networks | systems biology | systems biology | biological networks | biological networks | RNA | RNA | DNA | DNA | gene expression | gene expression | evolutionary genetics | evolutionary genetics | population genetics | population genetics

License

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HST.950J Engineering Biomedical Information: From Bioinformatics to Biosurveillance (MIT) HST.950J Engineering Biomedical Information: From Bioinformatics to Biosurveillance (MIT)

Description

This course provides an interdisciplinary introduction to the technological advances in biomedical informatics and their applications at the intersection of computer science and biomedical research. This course provides an interdisciplinary introduction to the technological advances in biomedical informatics and their applications at the intersection of computer science and biomedical research.

Subjects

biomedical informatics | biomedical informatics | bioinformatics | bioinformatics | biomedical research | biomedical research | biological computing | biological computing | biomedical computing | biomedical computing | computational genomics | computational genomics | genomics | genomics | microarrays | microarrays | proteomics | proteomics | pharmacogenomics | pharmacogenomics | genomic privacy | genomic privacy | clinical informatics | clinical informatics | biosurveillance | biosurveillance | privacy | privacy | biotechnology | biotechnology

License

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HST.512 Genomic Medicine (MIT) HST.512 Genomic Medicine (MIT)

Description

Includes audio/video content: AV lectures. This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lec Includes audio/video content: AV lectures. This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lec

Subjects

genomics | genomics | genomic medicine | genomic medicine | genetics | genetics | genomic measurement | genomic measurement | microarray | microarray | informatics | informatics | bioinformatics | bioinformatics | computational biology | computational biology | machine learning | machine learning | pharmacogenomics | pharmacogenomics | complex traits | complex traits | individual pharmacology | individual pharmacology | cancer diagnostics | cancer diagnostics | genetic disease | genetic disease | biomedical | biomedical | genomes | genomes | bioethics | bioethics | integrative genomics | integrative genomics | genomic technologies | genomic technologies

License

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6.047 Computational Biology (MIT)

Description

This course covers the algorithmic and machine learning foundations of computational biology combining theory with practice. We cover both foundational topics in computational biology, and current research frontiers. We study fundamental techniques, recent advances in the field, and work directly with current large-scale biological datasets.

Subjects

Genomes | Networks | Evolution | computational biology | genomics | comparative genomics | epigenomics | functional genomics | motifs | phylogenomics | personal genomics | algorithms | machine learning | biology | biological datasets | proteomics | sequence analysis | sequence alignment | genome assembly | network motifs | network evolution | graph algorithms | phylogenetics | python | probability | statistics | entropy | information

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.881 Computational Personal Genomics: Making Sense of Complete Genomes (MIT)

Description

With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.

Subjects

Genomes | Networks | Evolution | computational biology | genomics | comparative genomics | epigenomics | functional genomics | motifs | phylogenomics | personal genomics | algorithms | machine learning | biology | biological datasets | proteomics | sequence analysis | sequence alignment | genome assembly | network motifs | network evolution | graph algorithms | phylogenetics | python | probability | statistics | entropy | information

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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HST.508 Quantitative Genomics (MIT)

Description

This course provides a foundation in the following four areas: evolutionary and population genetics; comparative genomics; structural genomics and proteomics; and functional genomics and regulation.

Subjects

genomics | quantitative genomics | comparative genomics | genes | genome | SNPs | haplotypes | sequence alignment | protein structure | protein folding | proteomics | structural genomics | functional genomics | networks | systems biology | biological networks | RNA | DNA | gene expression | evolutionary genetics | population genetics

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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6.047 Computational Biology: Genomes, Networks, Evolution (MIT) 6.047 Computational Biology: Genomes, Networks, Evolution (MIT)

Description

This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks: gene expression analysis, regulatory motifs, graph algorithms, scale-free networks, network motifs, network evolution Evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory, rapid evolution This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include: Genomes: biological sequence analysis, hidden Markov models, gene finding, RNA folding, sequence alignment, genome assembly Networks: gene expression analysis, regulatory motifs, graph algorithms, scale-free networks, network motifs, network evolution Evolution: comparative genomics, phylogenetics, genome duplication, genome rearrangements, evolutionary theory, rapid evolution

Subjects

computational biology | computational biology | algorithms | algorithms | machine learning | machine learning | biology | biology | biological datasets | biological datasets | genomics | genomics | proteomics | proteomics | genomes | genomes | sequence analysis | sequence analysis | sequence alignment | sequence alignment | genome assembly | genome assembly | network motifs | network motifs | network evolution | network evolution | graph algorithms | graph algorithms | phylogenetics | phylogenetics | comparative genomics | comparative genomics | python | python | probability | probability | statistics | statistics | entropy | entropy | information | information

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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HST.950J Engineering Biomedical Information: From Bioinformatics to Biosurveillance (MIT)

Description

This course provides an interdisciplinary introduction to the technological advances in biomedical informatics and their applications at the intersection of computer science and biomedical research.

Subjects

biomedical informatics | bioinformatics | biomedical research | biological computing | biomedical computing | computational genomics | genomics | microarrays | proteomics | pharmacogenomics | genomic privacy | clinical informatics | biosurveillance | privacy | biotechnology

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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HST.512 Genomic Medicine (MIT)

Description

This course reviews the key genomic technologies and computational approaches that are driving advances in prognostics, diagnostics, and treatment. Throughout the semester, emphasis will return to issues surrounding the context of genomics in medicine including: what does a physician need to know? what sorts of questions will s/he likely encounter from patients? how should s/he respond? Lecturers will guide the student through real world patient-doctor interactions. Outcome considerations and socioeconomic implications of personalized medicine are also discussed. The first part of the course introduces key basic concepts of molecular biology, computational biology, and genomics. Continuing in the informatics applications portion of the course, lecturers begin each lecture block with a scen

Subjects

genomics | genomic medicine | genetics | genomic measurement | microarray | informatics | bioinformatics | computational biology | machine learning | pharmacogenomics | complex traits | individual pharmacology | cancer diagnostics | genetic disease | biomedical | genomes | bioethics | integrative genomics | genomic technologies

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

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Oxford at Said: A human genome in minutes and what it will mean to you

Description

Oxford Nanopore is a British company, spun out of the University of Oxford in 2005 and founded on the science of Prof Hagan Bayley. It is developing new technology that has the potential to improve greatly the speed and cost of DNA sequencing. Wales; http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

Subjects

genome | genomics | hagan bailey | DNA sequencing | Oxford Nanopore | genome | genomics | hagan bailey | DNA sequencing | Oxford Nanopore

License

http://creativecommons.org/licenses/by-nc-sa/2.0/uk/

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7.89 Topics in Computational and Systems Biology (MIT) 7.89 Topics in Computational and Systems Biology (MIT)

Description

This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB PhD program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. Acknowledgments In addition to the staff listed on this page, the followi This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB PhD program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. Acknowledgments In addition to the staff listed on this page, the followi

Subjects

computational | computational | systems | systems | biology | biology | seminar | seminar | literature review | literature review | statistics | statistics | developmental | developmental | biochemistry | biochemistry | genetics | genetics | physics | physics | genomics | genomics | signal transduction | signal transduction | regulation | regulation | medicine | medicine | kinetics | kinetics | protein structure | protein structure | devices | devices | synthesis | synthesis | networks | networks | mapping | mapping

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.895 Computational Biology: Genomes, Networks, Evolution (MIT) 6.895 Computational Biology: Genomes, Networks, Evolution (MIT)

Description

This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include:Genomes: Biological Sequence Analysis, Hidden Markov Models, Gene Finding, RNA Folding, Sequence Alignment, Genome Assembly.Networks: Gene Expression Analysis, Regulatory Motifs, Graph Algorithms, Scale-free Networks, Network Motifs, Network Evolution.Evolution: Comparative Genomics, Phylogenetics, Genome Duplication, Genome Rearrangements, Evolutionary Theory, Rapid Evolution. This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include:Genomes: Biological Sequence Analysis, Hidden Markov Models, Gene Finding, RNA Folding, Sequence Alignment, Genome Assembly.Networks: Gene Expression Analysis, Regulatory Motifs, Graph Algorithms, Scale-free Networks, Network Motifs, Network Evolution.Evolution: Comparative Genomics, Phylogenetics, Genome Duplication, Genome Rearrangements, Evolutionary Theory, Rapid Evolution.

Subjects

Genomes: Biological sequence analysis | Genomes: Biological sequence analysis | hidden Markov models | hidden Markov models | gene finding | gene finding | RNA folding | RNA folding | sequence alignment | sequence alignment | genome assembly | genome assembly | Networks: Gene expression analysis | Networks: Gene expression analysis | regulatory motifs | regulatory motifs | graph algorithms | graph algorithms | scale-free networks | scale-free networks | network motifs | network motifs | network evolution | network evolution | Evolution: Comparative genomics | Evolution: Comparative genomics | phylogenetics | phylogenetics | genome duplication | genome duplication | genome rearrangements | genome rearrangements | evolutionary theory | evolutionary theory | rapid evolution | rapid evolution

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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20.453J Biomedical Information Technology (BE.453J) (MIT) 20.453J Biomedical Information Technology (BE.453J) (MIT)

Description

The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.). A major term project is The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.). A major term project is

Subjects

imaging | imaging | medical imaging | medical imaging | metadata | metadata | medical record | medical record | DICOM | DICOM | computer architecture | computer architecture | client-server architecture | client-server architecture | SEM | SEM | TEM | TEM | OME | OME | RDF | RDF | semantic web | semantic web | BioHaystack | BioHaystack | database | database | schema | schema | ExperiBase | ExperiBase | genomics | genomics | proteomics | proteomics | bioinformatics | bioinformatics | clinical decision support | clinical decision support | microarray | microarray | gel electrophoresis | gel electrophoresis | diagnosis | diagnosis | 20.453 | 20.453 | 2.771 | 2.771 | HST.958 | HST.958

License

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BE.453J Biomedical Information Technology (MIT) BE.453J Biomedical Information Technology (MIT)

Description

The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.). A major term project is The objective of this subject is to teach the design of contemporary information systems for biological and medical data. These data are growing at a prodigious rate, and new information systems are required. This subject will cover examples from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures will be covered. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (C, C++, Java®, Lisp, Perl, Python, etc.). A major term project is

Subjects

imaging | imaging | medical imaging | medical imaging | metadata | metadata | medical record | medical record | DICOM | DICOM | computer architecture | computer architecture | client-server architecture | client-server architecture | SEM | SEM | TEM | TEM | OME | OME | RDF | RDF | semantic web | semantic web | BioHaystack | BioHaystack | database | database | schema | schema | ExperiBase | ExperiBase | genomics | genomics | proteomics | proteomics | bioinformatics | bioinformatics | clinical decision support | clinical decision support | microarray | microarray | gel electrophoresis | gel electrophoresis | diagnosis | diagnosis | 2.771J | 2.771J | 2.771 | 2.771 | HST.958J | HST.958J | HST.958 | HST.958

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7.013 Introductory Biology (MIT) 7.013 Introductory Biology (MIT)

Description

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer), The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer),

Subjects

biology | biology | biochemistry | biochemistry | genetics | genetics | molecular biology | molecular biology | recombinant DNA | recombinant DNA | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | stem cells | stem cells | cancer | cancer | immunology | immunology | virology | virology | genomics | genomics | molecular medicine | molecular medicine | DNA | DNA | RNA | RNA | proteins | proteins | replication | replication | transcription | transcription | mRNA | mRNA | translation | translation | ribosome | ribosome | nervous system | nervous system | amino acids | amino acids | polypeptide chain | polypeptide chain | cell biology | cell biology | neurobiology | neurobiology | gene regulation | gene regulation | protein structure | protein structure | protein synthesis | protein synthesis | gene structure | gene structure | PCR | PCR | polymerase chain reaction | polymerase chain reaction | protein localization | protein localization | endoplasmic reticulum | endoplasmic reticulum | human biology | human biology | inherited diseases | inherited diseases | developmental biology | developmental biology | evolution | evolution | human genetics | human genetics | human diseases | human diseases | infectious agents | infectious agents | infectious diseases | infectious diseases

License

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7.012 Introduction to Biology (MIT) 7.012 Introduction to Biology (MIT)

Description

All three courses: 7.012, 7.013 and 7.014 cover the same core material which includes: the fundamental principles of biochemistry as they apply to introductory biology, genetics, molecular biology, basic recombinant DNA technology, and gene regulation.In addition, each version of the subject has its own distinctive material, described below. Note: All three versions require a familiarity with some basic chemistry. For details, see the Chemistry Self-evaluation.7.012 focuses on cell biology, immunology, neurobiology, and includes an exploration into current research in cancer, genomics, and molecular medicine. 7.013 focuses on the application of the fundamental principles toward an understanding of cells, human genetics and diseases, infectious agents, cancer, immunology, molecular All three courses: 7.012, 7.013 and 7.014 cover the same core material which includes: the fundamental principles of biochemistry as they apply to introductory biology, genetics, molecular biology, basic recombinant DNA technology, and gene regulation.In addition, each version of the subject has its own distinctive material, described below. Note: All three versions require a familiarity with some basic chemistry. For details, see the Chemistry Self-evaluation.7.012 focuses on cell biology, immunology, neurobiology, and includes an exploration into current research in cancer, genomics, and molecular medicine. 7.013 focuses on the application of the fundamental principles toward an understanding of cells, human genetics and diseases, infectious agents, cancer, immunology, molecular

Subjects

amino acids | amino acids | biochemistry | biochemistry | cancer | cancer | cell biology | cell biology | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | DNA | DNA | endoplasmic reticulum | endoplasmic reticulum | gene regulation | gene regulation | gene structure | gene structure | genetics | genetics | genomics | genomics | immunology | immunology | molecular biology | molecular biology | molecular medicine | molecular medicine | mRNA | mRNA | nervous system | nervous system | neurobiology | neurobiology | PCR | PCR | polymerase chain reaction | polymerase chain reaction | polypeptide chain | polypeptide chain | protein localization | protein localization | protein structure | protein structure | protein synthesis | protein synthesis | proteins | proteins | recombinant DNA | recombinant DNA | replication | replication | ribosome | ribosome | RNA | RNA | stem cells | stem cells | transcription | transcription | translation | translation | virology | virology | biology | biology

License

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ESD.172J X PRIZE Workshop: Grand Challenges in Energy (MIT) ESD.172J X PRIZE Workshop: Grand Challenges in Energy (MIT)

Description

Includes audio/video content: AV selected lectures. In 2004, the Ansari X PRIZE for suborbital spaceflight captured the public's imagination and revolutionized an industry, leveraging a $10M prize purse into over $100M in innovation. Building from that success, the X PRIZE Foundation is now developing new prizes to focus innovation around "Grand Challenge" themes, including genomics, energy, healthcare, and education. This course will examine the intersection of incentives and innovation, drawing on economic models, historic examples, and recent experience of the X PRIZE Foundation to help develop a future prize in Energy Storage Technologies. Includes audio/video content: AV selected lectures. In 2004, the Ansari X PRIZE for suborbital spaceflight captured the public's imagination and revolutionized an industry, leveraging a $10M prize purse into over $100M in innovation. Building from that success, the X PRIZE Foundation is now developing new prizes to focus innovation around "Grand Challenge" themes, including genomics, energy, healthcare, and education. This course will examine the intersection of incentives and innovation, drawing on economic models, historic examples, and recent experience of the X PRIZE Foundation to help develop a future prize in Energy Storage Technologies.

Subjects

ESD.172 | ESD.172 | EC.421 | EC.421 | energy | energy | competition | competition | innovation | innovation | incentivize prizes | incentivize prizes | resource allocation | resource allocation | innovation incentives | innovation incentives | Ansari | Ansari | X PRIZE | X PRIZE | economic models of innovation | economic models of innovation | energy storage | energy storage | grid-scale storage | grid-scale storage | prize matrix | prize matrix | genomics | genomics | Archon X PRIZE | Archon X PRIZE | Progressive Automotive X PRIZE | Progressive Automotive X PRIZE | grand challenges | grand challenges

License

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7.013 Introductory Biology (MIT) 7.013 Introductory Biology (MIT)

Description

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material. 7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer), The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material. 7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer),

Subjects

biology | biology | biochemistry | biochemistry | genetics | genetics | molecular biology | molecular biology | recombinant DNA | recombinant DNA | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | stem cells | stem cells | cancer | cancer | immunology | immunology | virology | virology | genomics | genomics | molecular medicine | molecular medicine | DNA | DNA | RNA | RNA | proteins | proteins | replication | replication | transcription | transcription | mRNA | mRNA | translation | translation | ribosome | ribosome | nervous system | nervous system | amino acids | amino acids | polypeptide chain | polypeptide chain | cell biology | cell biology | neurobiology | neurobiology | gene regulation | gene regulation | protein structure | protein structure | protein synthesis | protein synthesis | gene structure | gene structure | PCR | PCR | polymerase chain reaction | polymerase chain reaction | protein localization | protein localization | endoplasmic reticulum | endoplasmic reticulum | human biology | human biology | inherited diseases | inherited diseases | developmental biology | developmental biology | evolution | evolution | human genetics | human genetics | human diseases | human diseases | infectious agents | infectious agents | infectious diseases | infectious diseases

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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7.014 Introductory Biology (MIT) 7.014 Introductory Biology (MIT)

Description

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.014 focuses on the application of these fundamental principles, toward an understanding of microorganisms as geochemical agents responsible for the evolution and renewal of the biosphere and of their role in human health The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.014 focuses on the application of these fundamental principles, toward an understanding of microorganisms as geochemical agents responsible for the evolution and renewal of the biosphere and of their role in human health

Subjects

microorganisms | microorganisms | geochemistry | geochemistry | geochemical agents | geochemical agents | biosphere | biosphere | bacterial genetics | bacterial genetics | carbon metabolism | carbon metabolism | energy metabolism | energy metabolism | productivity | productivity | biogeochemical cycles | biogeochemical cycles | molecular evolution | molecular evolution | population genetics | population genetics | evolution | evolution | population growth | population growth | biology | biology | biochemistry | biochemistry | genetics | genetics | molecular biology | molecular biology | recombinant DNA | recombinant DNA | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | stem cells | stem cells | cancer | cancer | immunology | immunology | virology | virology | genomics | genomics | molecular medicine | molecular medicine | DNA | DNA | RNA | RNA | proteins | proteins | replication | replication | transcription | transcription | mRNA | mRNA | translation | translation | ribosome | ribosome | nervous system | nervous system | amino acids | amino acids | polypeptide chain | polypeptide chain | cell biology | cell biology | neurobiology | neurobiology | gene regulation | gene regulation | protein structure | protein structure | protein synthesis | protein synthesis | gene structure | gene structure | PCR | PCR | polymerase chain reaction | polymerase chain reaction | protein localization | protein localization | endoplasmic reticulum | endoplasmic reticulum | ecology | ecology | communities | communities

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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7.012 Introduction to Biology (MIT) 7.012 Introduction to Biology (MIT)

Description

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.012 focuses on the exploration of current research in cell biology, immunology, neurobiology, genomics, and molecular medicine.AcknowledgmentsThe study materials, problem sets, and quiz materials used during Fall 2004 for The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In addition, each version of the subject has its own distinctive material.7.012 focuses on the exploration of current research in cell biology, immunology, neurobiology, genomics, and molecular medicine.AcknowledgmentsThe study materials, problem sets, and quiz materials used during Fall 2004 for

Subjects

biology | biology | biochemistry | biochemistry | genetics | genetics | molecular biology | molecular biology | recombinant DNA | recombinant DNA | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | stem cells | stem cells | cancer | cancer | immunology | immunology | virology | virology | genomics | genomics | molecular medicine | molecular medicine | DNA | DNA | RNA | RNA | proteins | proteins | replication | replication | transcription | transcription | mRNA | mRNA | translation | translation | ribosome | ribosome | nervous system | nervous system | amino acids | amino acids | polypeptide chain | polypeptide chain | cell biology | cell biology | neurobiology | neurobiology | gene regulation | gene regulation | protein structure | protein structure | protein synthesis | protein synthesis | gene structure | gene structure | PCR | PCR | polymerase chain reaction | polymerase chain reaction | protein localization | protein localization | endoplasmic reticulum | endoplasmic reticulum

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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HST.508 Genomics and Computational Biology (MIT) HST.508 Genomics and Computational Biology (MIT)

Description

Includes audio/video content: AV lectures. This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering. Future opportunities and current limitations will be critically addressed. In addition to the regular lecture sessions, supplementary sections are scheduled to address issues related to Perl, Mathematica and biology. Includes audio/video content: AV lectures. This course will assess the relationships among sequence, structure, and function in complex biological networks as well as progress in realistic modeling of quantitative, comprehensive, functional genomics analyses. Exercises will include algorithmic, statistical, database, and simulation approaches and practical applications to medicine, biotechnology, drug discovery, and genetic engineering. Future opportunities and current limitations will be critically addressed. In addition to the regular lecture sessions, supplementary sections are scheduled to address issues related to Perl, Mathematica and biology.

Subjects

sequence | sequence | structure | structure | function | function | complex biological networks | complex biological networks | quantative modeling | quantative modeling | functional genomics analyses | functional genomics analyses | algorithms | algorithms | statistics | statistics | database | database | simulation | simulation | applied medicine | applied medicine | biotechnology | biotechnology | drug discovery | drug discovery | computational biology | computational biology | genetic engineering | genetic engineering

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.096 Algorithms for Computational Biology (MIT) 6.096 Algorithms for Computational Biology (MIT)

Description

This course is offered to undergraduates and addresses several algorithmic challenges in computational biology. The principles of algorithmic design for biological datasets are studied and existing algorithms analyzed for application to real datasets. Topics covered include: biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangements, evolutionary theory, clustering algorithms, and scale-free networks. This course is offered to undergraduates and addresses several algorithmic challenges in computational biology. The principles of algorithmic design for biological datasets are studied and existing algorithms analyzed for application to real datasets. Topics covered include: biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangements, evolutionary theory, clustering algorithms, and scale-free networks.

Subjects

biological sequence analysis | biological sequence analysis | gene finding | gene finding | motif discovery | motif discovery | RNA folding | RNA folding | global and local sequence alignment | global and local sequence alignment | genome assembly | genome assembly | comparative genomics | comparative genomics | genome duplication | genome duplication | genome rearrangements | genome rearrangements | evolutionary theory | evolutionary theory | gene expression | gene expression | clustering algorithms | clustering algorithms | scale-free networks | scale-free networks | machine learning applications | machine learning applications

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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7.013 Introductory Biology (MIT) 7.013 Introductory Biology (MIT)

Description

The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. 7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer), developmental biology, neurobiology and evolution.Biological function at the molecular level is particularly emphasized in all courses and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In add The MIT Biology Department core courses, 7.012, 7.013, and 7.014, all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. 7.013 focuses on the application of the fundamental principles toward an understanding of human biology. Topics include genetics, cell biology, molecular biology, disease (infectious agents, inherited diseases and cancer), developmental biology, neurobiology and evolution.Biological function at the molecular level is particularly emphasized in all courses and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into multicellular systems and organisms. In add

Subjects

biology | biology | biochemistry | biochemistry | genetics | genetics | molecular biology | molecular biology | recombinant DNA | recombinant DNA | cell cycle | cell cycle | cell signaling | cell signaling | cloning | cloning | stem cells | stem cells | cancer | cancer | immunology | immunology | virology | virology | genomics | genomics | molecular medicine | molecular medicine | DNA | DNA | RNA | RNA | proteins | proteins | replication | replication | transcription | transcription | mRNA | mRNA | translation | translation | ribosome | ribosome | nervous system | nervous system | amino acids | amino acids | polypeptide chain | polypeptide chain | cell biology | cell biology | neurobiology | neurobiology | gene regulation | gene regulation | protein structure | protein structure | protein synthesis | protein synthesis | gene structure | gene structure | PCR | PCR | polymerase chain reaction | polymerase chain reaction | protein localization | protein localization | endoplasmic reticulum | endoplasmic reticulum | human biology | human biology | inherited diseases | inherited diseases | developmental biology | developmental biology | evolution | evolution | human genetics | human genetics | human diseases | human diseases | infectious agents | infectious agents | infectious diseases | infectious diseases

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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7.89J Topics in Computational and Systems Biology (MIT) 7.89J Topics in Computational and Systems Biology (MIT)

Description

This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology. This is a seminar based on research literature. Papers covered are selected to illustrate important problems and approaches in the field of computational and systems biology, and provide students a framework from which to evaluate new developments. The MIT Initiative in Computational and Systems Biology (CSBi) is a campus-wide research and education program that links biology, engineering, and computer science in a multidisciplinary approach to the systematic analysis and modeling of complex biological phenomena. This course is one of a series of core subjects offered through the CSB Ph.D. program, for students with an interest in interdisciplinary training and research in the area of computational and systems biology.

Subjects

Computational Biology | Computational Biology | Systems Biology | Systems Biology | Genomics | Genomics | Protein Function | Protein Function | Nucleic Acid Binding Factors | Nucleic Acid Binding Factors | microarray analysis | microarray analysis | genome-wide mapping | genome-wide mapping | gene expression | gene expression | evolutionary dynamics | evolutionary dynamics | sequencing | sequencing | translation | translation | network motifs | network motifs | pathway modeling | pathway modeling | synthetic biology | synthetic biology | metagenomics | metagenomics | signal transduction | signal transduction

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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