Chapter title |
Interpreting and Visualizing ChIP-seq Data with the seqMINER Software.
|
---|---|
Chapter number | 8 |
Book title |
Stem Cell Transcriptional Networks
|
Published in |
Methods in molecular biology, January 2014
|
DOI | 10.1007/978-1-4939-0512-6_8 |
Pubmed ID | |
Book ISBNs |
978-1-4939-0511-9, 978-1-4939-0512-6
|
Authors |
Tao Ye, Sarina Ravens, Arnaud R Krebs, Làszlò Tora, Arnaud R. Krebs, Ye, Tao, Ravens, Sarina, Krebs, Arnaud R., Tora, Làszlò |
Abstract |
Chromatin immunoprecipitation coupled high-throughput sequencing (ChIP-seq) is a common method to study in vivo protein-DNA interactions at the genome-wide level. The processing, analysis, and biological interpretation of gigabyte datasets, generated by several ChIP-seq runs, is a challenging task for biologists. The seqMINER platform has been designed to handle, compare, and visualize different sequencing datasets in a user-friendly way. Different analysis methods are applied to understand common and specific binding patterns of single or multiple datasets to answer complex biological questions. Here, we give a detailed protocol about the different analysis modules implemented in the recent version of seqMINER. |
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