Please use this identifier to cite or link to this item: https://doi.org/10.1186/gb-2011-12-8-r83
Title: Cistrome: An integrative platform for transcriptional regulation studies
Authors: Liu, T
Ortiz, J.A
Taing, L
Meyer, C.A
Lee, B
Zhang, Y
Shin, H
Wong, S.S
Ma, J
Lei, Y
Pape, U.J
Poidinger, M 
Chen, Y
Yeung, K
Brown, M
Turpaz, Y
Liu, X.S
Keywords: article
binding site
bioinformatics
chromatin immunoprecipitation
computer interface
computer program
data analysis software
gene expression
histone modification
information processing
microarray analysis
nonhuman
protein motif
sequence analysis
signal transduction
transcription regulation
transcription termination
biology
chromatin immunoprecipitation
DNA microarray
gene expression regulation
genetic database
genetics
human
Internet
metabolism
methodology
transcription factor
Chromatin Immunoprecipitation
Computational Biology
Databases, Genetic
Gene Expression Regulation
Humans
Internet
Oligonucleotide Array Sequence Analysis
Software
Transcription Factors
Issue Date: 2011
Citation: Liu, T, Ortiz, J.A, Taing, L, Meyer, C.A, Lee, B, Zhang, Y, Shin, H, Wong, S.S, Ma, J, Lei, Y, Pape, U.J, Poidinger, M, Chen, Y, Yeung, K, Brown, M, Turpaz, Y, Liu, X.S (2011). Cistrome: An integrative platform for transcriptional regulation studies. Genome Biology 12 (8) : R83. ScholarBank@NUS Repository. https://doi.org/10.1186/gb-2011-12-8-r83
Rights: Attribution 4.0 International
Abstract: The increasing volume of ChIP-chip and ChIP-seq data being generated creates a challenge for standard, integrative and reproducible bioinformatics data analysis platforms. We developed a web-based application called Cistrome, based on the Galaxy open source framework. In addition to the standard Galaxy functions, Cistrome has 29 ChIP-chip- and ChIP-seq-specific tools in three major categories, from preliminary peak calling and correlation analyses to downstream genome feature association, gene expression analyses, and motif discovery. © 2011 Liu et al.; licensee BioMed Central Ltd.
Source Title: Genome Biology
URI: https://scholarbank.nus.edu.sg/handle/10635/183253
ISSN: 14747596
DOI: 10.1186/gb-2011-12-8-r83
Rights: Attribution 4.0 International
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