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Title: BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates

Authors:
 [1] ;  [1] ;  [2] ;  [3] ;
  1. Department of Statistics, Iowa State University, Ames, IA, USA
  2. Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, USA
  3. Department of Statistics, Iowa State University, Ames, IA, USA, Department of Veterinary Diagnostic and Production Animal Medicine, Iowa State University, Ames, IA, USA
Publication Date:
Grant/Contract Number:
SC0014395
Type:
Published Article
Journal Name:
Bioinformatics
Additional Journal Information:
Journal Volume: 34; Journal Issue: 17; Related Information: CHORUS Timestamp: 2018-09-09 08:13:53; Journal ID: ISSN 1367-4803
Publisher:
Oxford University Press
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1469226

Goren, Emily, Liu, Peng, Wang, Chao, Wang, Chong, and Birol, ed., Inanc. BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates. United Kingdom: N. p., Web. doi:10.1093/bioinformatics/bty227.
Goren, Emily, Liu, Peng, Wang, Chao, Wang, Chong, & Birol, ed., Inanc. BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates. United Kingdom. doi:10.1093/bioinformatics/bty227.
Goren, Emily, Liu, Peng, Wang, Chao, Wang, Chong, and Birol, ed., Inanc. 2018. "BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates". United Kingdom. doi:10.1093/bioinformatics/bty227.
@article{osti_1469226,
title = {BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates},
author = {Goren, Emily and Liu, Peng and Wang, Chao and Wang, Chong and Birol, ed., Inanc},
abstractNote = {},
doi = {10.1093/bioinformatics/bty227},
journal = {Bioinformatics},
number = 17,
volume = 34,
place = {United Kingdom},
year = {2018},
month = {4}
}