Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data

10.1371/journal.pcbi.1003342

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Main Authors: Sikora-Wohlfeld W., Ackermann M., Christodoulou E.G., Singaravelu K., Beyer A.
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: Public Library of Science 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/165401
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spelling sg-nus-scholar.10635-1654012024-11-08T18:52:31Z Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data Sikora-Wohlfeld W. Ackermann M. Christodoulou E.G. Singaravelu K. Beyer A. DUKE-NUS MEDICAL SCHOOL transcription factor article chromatin immunoprecipitation computer analysis gene expression gene function gene identification gene targeting genetic association genome protein binding sequence analysis validation process Algorithms Animals Binding Sites Chromatin Immunoprecipitation Databases, Genetic Genome Genomics Mice Models, Statistical Reproducibility of Results Sequence Analysis, DNA Transcription Factors 10.1371/journal.pcbi.1003342 PLoS Computational Biology 9 11 e1003342 2020-03-13T05:25:22Z 2020-03-13T05:25:22Z 2013 Article Sikora-Wohlfeld W., Ackermann M., Christodoulou E.G., Singaravelu K., Beyer A. (2013). Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data. PLoS Computational Biology 9 (11) : e1003342. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1003342 1553734X https://scholarbank.nus.edu.sg/handle/10635/165401 Public Library of Science Unpaywall 20200320
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic transcription factor
article
chromatin immunoprecipitation
computer analysis
gene expression
gene function
gene identification
gene targeting
genetic association
genome
protein binding
sequence analysis
validation process
Algorithms
Animals
Binding Sites
Chromatin Immunoprecipitation
Databases, Genetic
Genome
Genomics
Mice
Models, Statistical
Reproducibility of Results
Sequence Analysis, DNA
Transcription Factors
spellingShingle transcription factor
article
chromatin immunoprecipitation
computer analysis
gene expression
gene function
gene identification
gene targeting
genetic association
genome
protein binding
sequence analysis
validation process
Algorithms
Animals
Binding Sites
Chromatin Immunoprecipitation
Databases, Genetic
Genome
Genomics
Mice
Models, Statistical
Reproducibility of Results
Sequence Analysis, DNA
Transcription Factors
Sikora-Wohlfeld W.
Ackermann M.
Christodoulou E.G.
Singaravelu K.
Beyer A.
Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
description 10.1371/journal.pcbi.1003342
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Sikora-Wohlfeld W.
Ackermann M.
Christodoulou E.G.
Singaravelu K.
Beyer A.
format Article
author Sikora-Wohlfeld W.
Ackermann M.
Christodoulou E.G.
Singaravelu K.
Beyer A.
author_sort Sikora-Wohlfeld W.
title Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
title_short Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
title_full Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
title_fullStr Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
title_full_unstemmed Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
title_sort assessing computational methods for transcription factor target gene identification based on chip-seq data
publisher Public Library of Science
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/165401
_version_ 1821180848504832000