BMC Biology

official impact factor 5.20
Search for
Advanced search
BMC Biology
Tools
Share this article
Open Access Highly Access Question and Answer

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

Edison T Liu*, Sebastian Pott and Mikael Huss

BMC Biology 2010, 8:56 doi:10.1186/1741-7007-8-56

Accesses  

  • Last 30 days: 674 accesses
  • Last 365 days: 7061 accesses
  • All time: 18966 accesses

Cited by

BioMed Central: 2 citations

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)

Abstract | Full text | PDF | PubMed |  Editor’s summary

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

Research article   Open Access

Integration of Genome-Wide Computation DRE Search, AhR ChIP-chip and Gene Expression Analyses of TCDD-Elicited Responses in the Mouse Liver

Edward Dere, Raymond Lo, Trine Celius, Jason Matthews, Timothy R Zacharewski BMC Genomics 2011, 12:365 (15 July 2011)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

Google Scholar: View citations

ISI Web of Science: View citations

PubMed Central: View citations