Assessing Computational Methods for Transcription Factor Target Gene Identification Based on ChIP-seq Data
10.1371/journal.pcbi.1003342
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Public Library of Science
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/165401 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
id |
sg-nus-scholar.10635-165401 |
---|---|
record_format |
dspace |
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 |