ChromatinDB: a database of genome-wide histone modification patterns for Saccharomyces cerevisiae

Timothy R O'Connor; John J Wyrick

doi:10.1093/bioinformatics/btm236

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ChromatinDB: a database of genome-wide histone modification patterns for Saccharomyces cerevisiae

Journal article

Open access

Peer reviewed

ChromatinDB: a database of genome-wide histone modification patterns for Saccharomyces cerevisiae

Timothy R O'Connor and John J Wyrick

Bioinformatics (Oxford, England), Vol.23(14), pp.1828-1830

07/15/2007

DOI: https://doi.org/10.1093/bioinformatics/btm236

Handle:

https://hdl.handle.net/2376/107819

PMID: 17485428

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Abstract

Promoter Regions, Genetic

Computational Biology - methods

Saccharomyces cerevisiae - genetics

Open Reading Frames

Models, Statistical

Saccharomyces cerevisiae - metabolism

Computer Graphics

Chromatin Immunoprecipitation

Genome, Fungal

Histone Acetyltransferases - metabolism

Saccharomyces cerevisiae Proteins - metabolism

Models, Genetic

Histones - metabolism

Chromatin - chemistry

Databases, Factual

Covalent modifications to histone proteins play a critical role in regulating gene transcription. Previous studies have used chromatin immunoprecipitation (ChIP) based microarray assays to profile genomic regions that are enriched or depleted for a particular histone modification. Such studies have been conducted extensively in the yeast Saccharomyces cerevisiae, but currently no comprehensive data repositories or analysis tools are available for these data sets. For this reason, we have developed the ChromatinDB database, which contains genome-wide ChIP data for 22 different histones or histone modifications in S. cerevisiae. ChromatinDB provides novel tools to facilitate the visualization and statistical analysis of chromatin features for user-selected gene sets. http://www.bioinformatics2.wsu.edu/ChromatinDB. Supplementary data are available at Bioinformatics online.

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Title: ChromatinDB: a database of genome-wide histone modification patterns for Saccharomyces cerevisiae
Creators: Timothy R O'Connor - School of Molecular Biosciences and Center for Reproductive Biology, Washington State University, Pullman, WA, USA
John J Wyrick
Publication Details: Bioinformatics (Oxford, England), Vol.23(14), pp.1828-1830
Academic Unit: Molecular Biosciences, School of
Publisher: England
Identifiers: 99900547197601842
Language: English
Resource Type: Journal article