Title |
An integrated ChIP-seq analysis platform with customizable workflows
|
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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. |
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Demographic breakdown
Readers by professional status | Count | As % |
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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% |
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Mathematics | 3 | 1% |
Other | 14 | 6% |
Unknown | 15 | 7% |