BMC Genomics

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A practical comparison of methods for detecting transcription factor binding sites in ChIP-seq experiments

Teemu D Laajala, Sunil Raghav, Soile Tuomela, Riitta Lahesmaa, Tero Aittokallio and Laura L Elo*

BMC Genomics 2009, 10:618 doi:10.1186/1471-2164-10-618

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Proceedings   Open Access

Improving ChIP-seq peak-calling for functional co-regulator binding by integrating multiple sources of biological information

Hatice Osmanbeyoglu, Ryan J Hartmaier, Steffi Oesterreich, Xinghua Lu BMC Genomics 2012, 13(Suppl 1):S1 (17 January 2012)

Research   Open Access

A strand specific high resolution normalization method for chip-sequencing data employing multiple experimental control measurements

Stefan Enroth, Claes R Andersson, Robin Andersson, Claes Wadelius, Mats G Gustafsson, Jan Komorowski Algorithms for Molecular Biology 2012, 7:2 (16 January 2012)

Proceedings   Open Access

Pinpointing transcription factor binding sites from ChIP-seq data with SeqSite

Xi Wang, Xuegong Zhang BMC Systems Biology 2011, 5(Suppl 2):S3 (14 December 2011)

Method   Open Access Highly Accessed

ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions

Naim U Rashid, Paul G Giresi, Joseph G Ibrahim, Wei Sun, Jason D Lieb Genome Biology 2011, 12:R67 (25 July 2011)

ZINBA is a method for analyzing peaks in next generation sequencing datasets such as ChIP-seq or DNase-seq

Software   Open Access Highly Accessed

An integrated ChIP-seq analysis platform with customizable workflows

Eugenia G Giannopoulou, Olivier Elemento BMC Bioinformatics 2011, 12:277 (7 July 2011)

Question and Answer   Open Access Highly Accessed

Q&A: ChIP-seq technologies and the study of gene regulation

Edison T Liu, Sebastian Pott, Mikael Huss BMC Biology 2010, 8:56 (14 May 2010)

Edison Liu and colleagues explain in Q&A format how ChIP-seq technology allows investigation of transcriptional regulation on a genomic scale, and what is next.