MB620 Bioinformatics
University of New Haven
Instructor: Joel S. Bader
Class Information
MB620 meets in Dodds 305 from 5:30pm to 8:30pm.
Class dates are April 6, 1999, through June 29, 1999.
The class grade will be determined by a combination of
homework and exams.
Syllabus by Topic
- Applications
Gene sequence, protein structure, gene function.
DNA sequence analysis. Protein sequence analysis.
Secondary, tertiary structure prediction. Structural biology.
Cell/tissue distribution. Protein evolution.
- Algorithms
Sequence comparison algorithms.
Global alignments: Needleman-Wunsch, Smith-Waterman.
Local alignments: FASTA, BLAST.
Multiple alignments, assembly algorithms.
Pattern recognition algorithms. Motifs, scoring matrices,
hidden Markov models, motif generation. Clustering: distance metrics,
phylogenetic trees.
- Information systems
The Internet. E-mail. HTML. Building a web page.
Databases. Relational databases. SQL.
Web interfaces. Storing and retrieving information.
On-line databases.
- Genomics
The Human Genome Project: genetic maps, physical maps, sequence.
Genome sequencing, EST sequencing. Major centers. NCBI, NLM, GenBank.
Experimental organisms.
Genetic disorders. Linkage analysis, positional cloning. Multigenic disorders.
Intellectual property. The post-genome age.
Syllabus by Class
- Class 1, Apr 6 [applications]
Sequence analysis tools. Sequence similarity searching.
BLAST. Iterated BLAST. BLASTN, BLASTX, BLASTP, TBLASTN.
Gapped BLAST. FASTA.
- Class 2, Apr 13 [algorithms]
Sequence comparison algorithms. How does BLAST work?
- Class 3, Apr 20 [information systems]
E-mail, HTML, web authoring.
- Class 4, Apr 27 [information systems]
Web interfaces. CGIs. Using existing CGIs.
- Class 5, May 4 [genomics]
DNA and Protein sequence databases
- Class 6, May 11 [genomics, algorithms]
Reference sequences. Structure databases. Sequence assembly.
- Class 7, May 18 [genomics, applications]
Physical and genetic maps. Genome sequencing. Genefinding tools.
- Class 8, May 25[algorithms]
ORFs. Sequence similarity searching. Local and global alignments.
Multiple alignments. Protein predictive methods.
- Class 9, Jun 1 [applications, algorithms]
Protein annotation. Sequence similarity searching.
Multiple sequence alignments. Phylogenetics.
- Class 10, Jun 8 [applications, algorithms]
Inside blast.
- Class 11, Jun 15 [applications, algorithms, genomics]
Domains, motifs, patterns. Position-sensitive scoring matrices.
HMMs. Cellular localization.
Secondary and Tertiary structure prediction. Fold taxonomy.
- Class 12, Jun 22 [genomics]
Recent developments. Functional genomics. Proteomics.
SNPs. Grab-bag.
- Class 13, Jun 29
In-class final.
About the instructor:
Dr. Joel S. Bader, Bioinformatics
CuraGen www.curagen.com
555 Long Wharf Drive
New Haven, CT 06511
(203)401-3330x236
jsbader@curagen.com