BinQuasi: a peak detection method for ChIP-sequencing data with biological replicates
- Authors:
-
[1]
; [1]
; [2]
; [3]
;
- Department of Statistics, Iowa State University, Ames, IA, USA
- Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, USA
- 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}
}