Computational Molecular Biology

Doug Brutlag & Lee Kozar

Description

 This course is designed for molecular biologists and computer scientists desiring a practical, hands on approach to the field of computational molecular biology. The course is recommended for those wanting to understand the major issues concerning representation and analysis of biological sequences and structure. Topics covered include: accessing molecular databases, pattern search, classification of sequence and structure, alignment of sequences, rapid similarity searching, phylogenies, automated pattern learning, representing protein structure, modeling protein structure by homology, protein-protein docking and protein-ligand docking.

 

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Lecture

Doug Brutlag
lecture(1)

Representations of Sequences and Structures

Janet Morrison
lecture(5))

PubMed & Full Text Journal Access

Doug Brutlag
lecture(2)

Molecular Biology Databases on the Web

Doug Brutlag
lecture(3)

Molecular Databases II

Doug Brutlag
lecture(4)

Pattern Matching with Consensus Sequences

Doug Brutlag
lecture(6)

Quantitative and Probabilistic Pattern Matching

Doug Brutlag
lecture(7)

Sequence Alignment

Doug Brutlag
lecture(8)

Rapid Sequence Similarity Search I

Doug Brutlag
lecture(9)

Rapid Sequence Similarity Search II

Doug Brutlag
lecture(10)

Near-Optimal Sequence Alignments

Doug Brutlag
lecture(11)

Multiple Sequence Alignment

Doug Brutlag
lecture(12)

Distance Based Phylogenies

Doug Brutlag
lecture(13)

Sequence Blocks and Profiles

Doug Brutlag
lecture(14)

Discrete Protein Sequence Motifs

Russ Altman
lecture(15)

Protein Microenvironments

Tom Wu
lecture(16)

Probabilistic Protein Motifs

Scott Schmidler
lecture(17)

Motif Discovery Using Gibb's Sampling

Scott Schmidler
lecture(18)

Issues in Predicting Protein Secondary Structure

Amit P. Singh
lecture(19)

Protein Folds and Protein Structure Superposition

Amit P. Singh
lecture(20)

Protein Ligand Docking