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PMID: 17993665 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural

Comparative genomic analysis using the UCSC genome browser.

Methods in molecular biology (Clifton, N.J.) ·Vol. 395 ·2007-00-00 ·Pages 17-34

Karolchik D, Bejerano G, Hinrichs AS, Kuhn RM, Miller W, Rosenbloom KR, Zweig AS, Haussler D, Kent WJ

Abstract

Comparative analysis of DNA sequence from multiple species can provide insights into the function and evolutionary processes that shape genomes. The University of California Santa Cruz (UCSC) Genome Bioinformatics group has developed several tools and methodologies in its study of comparative genomics, many of which have been incorporated into the UCSC Genome Browser (http://genome.ucsc.edu), an easy-to-use online tool for browsing genomic data and aligned annotation "tracks" in a single window. The comparative genomics annotations in the browser include pairwise alignments, which aid in the identification of orthologous regions between species, and conservation tracks that show measures of evolutionary conservation among sets of multiply aligned species, highlighting regions of the genome that may be functionally important. A related tool, the UCSC Table Browser, provides a simple interface for querying, analyzing, and downloading the data underlying the Genome Browser annotation tracks. Here, we describe a procedure for examining a genomic region of interest in the Genome Browser, analyzing characteristics of the region, filtering the data, and downloading data sets for further study.

MeSH Terms
Animals Databases, Genetic Evolution, Molecular Genomics Humans User-Computer Interface
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Karolchik Donna
UCSC Genome Bioinformatics Group, Center for Biomolecular Science and Engineering, University of California, Santa Cruz, CA, USA.
Bejerano Gill
Hinrichs Angie S
Kuhn Robert M
Miller Webb
Rosenbloom Kate R
Zweig Ann S
Haussler David
Kent W James
Article Info
Journal
Methods in molecular biology (Clifton, N.J.)
Abbr.
Methods Mol Biol
ISSN
1064-3745
Published
2007-00-00
Pages
17-34
Language
English
Region
United States
NLM ID
9214969
Subset
IM
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