Bioinformatics and Computational Biology at UCSC

Bioinformatics and computational biology researchers at UCSC discover and implement algorithms that facilitate the understanding of biological processes through the application of statistical and machine learning techniques. Because these methods are often compute-intensive, we strive to create algorithms and heuristics that are computationally efficient on serial and parallel computers. Members of the group study the primary (sequence), secondary (folding), and tertiary (3-dimensional) structures of DNA, RNA, and protein sequences.

Bioinformatics degree programs

(contact soegradadm@soe.ucsc.edu)

B.S. in Bioinformatics
M.S./Ph.D. in Bioinformatics

Grants & fellowships for undergraduates
Grants & fellowships for graduates
Grants & fellowships for postdocs

UCSC bioinformatics classes

Bioinformatics class schedule

Bioinformatics resources

Karplus' selection of useful WWW pointers

UCSC Science and Engineering Library—bioinformatics page

ISMB99 tutorial on using hidden Markov models

SAM hidden Markov modeling (HMM) suite

UCSC Kestrel parallel processor

WWW servers for UCSC projects

UCSC Genome Browser

HMM applications, such as sequence query against a database or model library

SAM-T08 protein structure prediction system, based on hidden Markov models

E. coli gene prediction with EcoParse hidden Markov models

Small subunit ribosomal RNA secondary structure prediction with RNACAD, a stochastic context-free grammar modeling system

WWW databases, data sites, and open-source code for UCSC projects

The Intronerator, for cDNA alignments, gene predictions, sequence data, and literature links in C. elegans

Support vector machine classification of microarray gene expression data, a link to the SVM technical report and results

Ares lab intron site, a searchable database of spliceosomal class of introns in Saccharomyces cerevisiae (yeast)

gen sequence, a program for generating random sequences of amino acids with lengths and compositions typical of those found in real protein databases—also includes random number generators for normal, beta, Dirichlet, and mixture of Dirichlet distributions

Index of yeast-protein predictions

Past events

Post-CASP bioinformatics workshops, held in December 2000, December 2002, and December 2006

Articles about UCSC bioinformatics

 

  Center for Biomolecular Science & Engineering
1156 High St, Mail Stop CBSE,
University of California, Santa Cruz, CA 95064
831-459-1477 ext. 9-1477 | cbseweb@soe.ucsc.edu 

For questions about the UCSC Genome Browser: genome@soe.ucsc.edu

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