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An integrated ChIP-seq analysis platform with customizable workflows

Overview of attention for article published in BMC Bioinformatics, July 2011
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Title
An integrated ChIP-seq analysis platform with customizable workflows
Published in
BMC Bioinformatics, July 2011
DOI 10.1186/1471-2105-12-277
Pubmed ID
Authors

Eugenia G Giannopoulou, Olivier Elemento

Abstract

Chromatin immunoprecipitation followed by next generation sequencing (ChIP-seq), enables unbiased and genome-wide mapping of protein-DNA interactions and epigenetic marks. The first step in ChIP-seq data analysis involves the identification of peaks (i.e., genomic locations with high density of mapped sequence reads). The next step consists of interpreting the biological meaning of the peaks through their association with known genes, pathways, regulatory elements, and integration with other experiments. Although several programs have been published for the analysis of ChIP-seq data, they often focus on the peak detection step and are usually not well suited for thorough, integrative analysis of the detected peaks.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 7%
Germany 5 2%
Italy 4 2%
France 2 <1%
Sweden 2 <1%
United Kingdom 2 <1%
Canada 1 <1%
Mexico 1 <1%
Brazil 1 <1%
Other 4 2%
Unknown 179 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 69 32%
Student > Ph. D. Student 51 24%
Student > Master 22 10%
Professor > Associate Professor 16 7%
Student > Bachelor 12 6%
Other 36 17%
Unknown 10 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 56%
Biochemistry, Genetics and Molecular Biology 37 17%
Computer Science 14 6%
Medicine and Dentistry 11 5%
Mathematics 3 1%
Other 14 6%
Unknown 15 7%