CS 262
Computational Genomics
Spring 2003 (Old Handouts)
Homeworks and Logistics
Course Information
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Course Syllabus
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Course Staff
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Problem Set #1
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Problem Set #2
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Problem Set #3
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Problem Set #4
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Final #1
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Final #2
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This year's lecture notes
Lecture 1, 4/01. Slides:
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Lecture 2, 4/03. Slides:
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Lecture 3, 4/08. Slides:
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Lecture 4, 4/10. Slides:
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Lecture 5, 4/15. Slides:
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Lecture 6, 4/17. Slides:
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Lecture 7, 4/22. Slides:
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Lecture 8, 4/24. Slides:
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Lecture 9, 4/29. Slides:
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Lecture 10, 5/01. Slides:
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Lecture 11, 5/08. Slides:
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Lecture 12, 5/13. Slides:
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Lecture 13, 5/15. Slides:
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Lecture 14, 5/20. Slides:
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Lecture 15, 5/22. Slides:
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Lecture 16, 5/27. Slides:
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Lecture 17, 5/29. Slides:
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Lecture 18, 6/03. Slides:
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Last year's lecture notes
Lecture 1
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Lecture 2
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Lecture 3
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Lecture 4
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Lecture 5
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Lecture 6
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Lecture 7
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Lecture 8
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Lecture 9
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Lecture 10
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Lecture 11
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Lecture 14
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Lecture 15
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Lecture 16
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Papers and Other Reference Materials
Genscan: Prediction of Complete Gene Structures in Human Genomic DNA
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Transcriptional Regulation of the Stem Cell Leukemia Gene
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T-Coffee: A Novel Method for Fast and Accurate Multiple Sequence Alignment
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LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA
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Glocal Alignment: Finding Rearrangements During Alignment
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AVID: A Global Alignment Program
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BLAT: The BLAST-Like Local Alignment Tool
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Gapped BLAST and PHI-BLAST
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Pattern Hunter: Faster and more sensitive homology search
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The estimation of statistical parameters for local alignment score distributions
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ARACHNE 2: Whole-genome sequence assembly for Mammalian Genomes
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The Eulerian path approach to DNA fragment assembly
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A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition
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ARACHNE: A Whole-Genome Shotgun Assembler
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Genome Sizes
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Transposons
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Prediction of Complete Gene Structures in Human Genomic DNA
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SLAM - Cross-species Gene Finding and Alignment with a Generalized Pair Hidden Markov Model
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Integrating Genomic Homology into Gene Structure Prediction
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Christopher Burge's PhD Thesis
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Identifying DNA and Protein Patterns with Statistically Significant Alignments of Multiple Sequences
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Detecting Subtle Sequence Signals: A Gibbs Sampling Strategy for Multiple Alignment
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