6.874
Computational Functional Genomics
Spring 2014 · Foundations of Computational and Systems Biology
Topics
- Course Introduction: History of Computational Biology; Overview of the Course; Course Policies and Mechanics; DNA Sequencing Technologies
- Local Alignment (BLAST) and Statistics
- Statistics; Significance Testing; Bonferroni Correction
- Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)
- Comparative Genomic Analysis of Gene Regulation
- Clustering, Model Selection, and BIC Scores
- Library Complexity and Short Read Alignment (Mapping)
- Burrows–Wheeler Transform (BWT) and Alignments. Guest Lecture: Heng Li ( Broad Institute )
- Genome Assembly
- ChIP-seq Analysis; DNA-protein Interactions
- Simultaneous ChIP-seq Peak Discovery and Motif Sampling
- RNA-sequence Analysis: Expression, Isoforms
- Modeling and Discovery of Sequence Motifs (Gibbs Sampler, Alternatives)
- Gene Expression Program Discovery Using Topic Models
- Markov and Hidden Markov Models of Genomic and Protein Features
- RNA Secondary Structure—Biological Functions and Prediction
- Probabilistic Grammatical Models of RNA Structure
- Introduction to Protein Structure; Structure Comparison and Classification
- Protein Amino Acid Sidechain Packing Using Markov Random Fields
- Predicting Protein Structure
- Predicting Protein Interactions
- Protein / Protein Interaction Prediction Using Threading
- Gene Regulatory Networks
- Protein Interaction Networks
- Regression Trees
- Logic Modeling of Cell Signaling Networks. Guest Lecture: Doug Lauffenburger
- Analysis of Chromatin Structure
- BayesNets
- Discovering Quantitative Trait Loci (QTLs)
- Narrow Sense Heritability
- Human Genetics, SNPs, and Genome Wide Associate Studies
- Synthetic Biology: From Parts to Modules to Therapeutic Systems. Guest Lecture: Ron Weiss
- Causality, Natural Computing, and Engineering Genomes. Guest Lecture: George Church
- Presentations
- Presentations (cont.)
Readings
- LEC #: 1 · TOPICS: Course Introduction; Overview · READINGS: No readings for this lecture.
- LEC #: 3 · TOPICS: Global Alignment of Protein Statistics · READINGS: No readings for this lecture.
- LEC #: 16 · TOPICS: Protein Interaction Networks · READINGS: No readings for this lecture.
- Leach, Andrew. Molecular Modelling: Principles and Applications . Prentice Hall, 2001. ISBN: 9780582382107.
- Durbin, Richard, Sean R. Eddy, et al. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids . Cambridge University Press, 1998. ISBN: 9780521629713.
- Gonick, Larry, and Woollcott Smith. The Cartoon Guide to Statistics . Paw Prints, 2008. ISBN: 9781435242715.
Spring 2005
Topics
- Course Introduction
- Pairwise Alignment
- Finding Regulatory Sequences in DNA: Motif Discovery
- Finding Regulatory Sequences in DNA: Motif Discovery (cont.)
- Microarray Technology
- Expression Arrays, Normalization, and Error Models
- Expression Profiles, Clustering, and Latent Processes
- Computational Functional Genomics
- Stem Cells and Transcriptional Regulation
- Part One: An Example of Clustering Expression Data
- Project Group Meetings
- Project Group Initial Presentations
- Computational Discovery of Regulatory Networks
- RNA Silencing
- Computational Functional Genomics (cont.)
- Human Regulatory Networks
- Protein Networks
- Causal Models
- Causal Bayesian Networks, Active Learning
- From Biological Data to Biological Insight
- Modeling Transcriptional Regulation
- Dynamics
Readings
- LEC #: 2 · TOPICS: Pairwise Alignment · READINGS: Durbin, R., S. R. Eddy, A. Krogh, and G. Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge, UK: Cambridge University Press, 1999. ISBN: 9780521629713.
- LEC #: 3 · TOPICS: Finding Regulatory Sequences in DNA: Motif Discovery · READINGS: Hughes, et al. Journal of Molecular Biology 296, no. 5 (2000): 1205-14.
- Qun Pan, et al. “Revealing Global Regulatory Features of Mammalian Alternative Splicing Using a Quantitative Microarray Platform.” Molecular Cell 16 (December 22, 2004): 929–941.
- Wen Zhang, et al. “The Functional Landscape of Mouse Gene Expression.” Journal of Biology (2004): 3:21.
- Tong Ihn Lee, et al. “Transcriptional Regulatory Networks in Saccharomyces Cerevisiae .” Science (2002).
- Hwa Yang, Yee, et al., “Normalization for cDNA Microarray Data: A Robust Composite Method for Addressing Single and Multiple Slide Systematic Variation.” Nucleic Acid Research 30, no. 4 (2002).
- Newton, et al. “On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data.” Journal of Computational Biology 8, no. 1 (2001).
- Eisen, et al. “Cluster Analysis and Display of Genome-wide Expression Patterns.” PNAS 95, no. 25 (1998).
- Liao, et al. “Network Component Analysis: Reconstruction of Regulatory Signals in Biological Systems.” PNAS 100, no. 26 (2003).
- LEC #: 9 · TOPICS: Stem Cells and Transcriptional Regulation · READINGS: Dor, Y., J. Brown, O. Martinez, and D. A. Melton. “Adult Pancreatic Beta-cells are Formed by Self-duplication Rather Than Stem-cell Differentiation.” Nature 429, no. 6987 (2004): 41-6.
- Alizadeh, et. al. “Distinct Types of Diffuse Large B-cell Lymphoma Identified by Gene Expression Profiling.” Nature 403 (February 2000).
- Ramalho-Santos, et. al. “Stemness: Transcriptional Profiling of Embryonic and Adult Stem Cells.” Science 298 (October 2002).
- Ivanova, et. al. “A Stem Cell Molecular Signature.” Science 298 (October 2002).
- Fortunel, et al. “Comment on” ‘Stemness’: Transcriptional Profiling of Embryonic and Adult Stem Cells," and “A Stem Cell Molecular Signature”." Science 302, no. 5644 (2003): 393.
- Evsikov, et al. “Comment on” ‘Stemness’: Transcriptional Profiling of Embryonic and Adult Stem Cells," and “A Stem Cell Molecular Signature”." Science 302, no. 5644 (2003):393.
- Ivanova, N. B., et al. “Response to Comments on” ‘Stemness’: Transcriptional Profiling of Embryonic and Adult Stem Cells," and “A Stem Cell Molecular Signature”." Science 302, no. 5644 (2003): 393.
- Vogel. “‘Stemness’ Genes Still Elusive.” Science 302 (October 2003).
- Heckerman, David. “A Tutorial on Learning with Bayesian Networks.” Microsoft Technical Report MSR-TR-95-06 (1996).
- Hartemink, Alex. “Principled Computational Methods for the Validation and Discovery of Genetic Regulatory Networks.” MIT PhD Thesis (2001).
- Li, et al., “A Map of the Interactome Network of the Metazoan C. elegans .” Science 303 (January 2004).
- Giot, et al. “A Protein Interaction Map of Drosophila melanogaster .” Science 302 (December 2003).
- Gavin, et al. “Functional Organization of the Yeast Proteome by Systematic Analysis of Protein Complexes.” Nature 415 (January 2002).
- Ho, et al. “Systematic Identification of Protein Complexes in Sacchormyces Cerevisiae by Mass Spectrometry.” Nature 415 (January 2002).
- Tong, Lesage, et al. “Global Mapping of the Yeast Genetic Interaction Network.” Science 303 (February 2004).
- Phizicky, Bastiaens, Zhu, Snyder, and Fields. “Protein Analysis on a Proteomic Scale.” Nature 422 (March 2003).
- von Mering, et al. “Comparative Assessment of Large-scale Data Sets of Protein-protein Interactions.” Nature 417 (May 2002).
- Heckerman. “A Tutorial on Learning with Bayesian Networks.” Microsoft Technical Report MSR-TR-95-06, 1996.
- Yeang, et al. “Physical Network Models.” Journal of Computational Biology 11, nos. 2-3 (2004): 243-263.
- Gavin, A. C., et al. “Functional Organization of the Yeast Proteome by Systematic Analysis of Protein Complexes.” Nature 415, no. 6868 (2002): 141-7.
- Tong, A. H., et al. “Global Mapping of the Yeast Genetic Interaction Network.” Science 303, no. 5659 (2004): 808-13.
- Arkin, Ross, and McAdams. “Stochastic Kinetic Analysis of Developmental Pathway Bifurcation in Phage Lambda-Infected Escherichia coli Cells.” Genetics 149 (August 1998): 1633–1648.
- Gilman, Arkin. “Genetic ‘Code’: Representations and Dynamic Models of Genetic Components and Networks.” Annu Rev Genomics Hum Genet 3 (2002): 341–69.
- McAdams, Arkin. “It’s A Noisy Business!: Gene Regulation at the Nanomolar Scale.” Trends in Genetics 15 (1999): 65-69.
- ———. “Simulation of Genetic Circuits.” Annu Rev Biophys Biomol Struct 27 (1998): 199–224.
- Gillespie. “Exact Stochastic Simulation of Coupled Chemical Reactions.” Journal of Physical Chemistry 81, no. 25 (1977): 2340-2361.
Sources
- Course catalogue ↗Historical OpenCourseWare
- MIT OpenCourseWare ↗Spring 2014
- MIT OCW readings ↗
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- MIT OCW readings ↗
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.