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Humana Press, Methods in Molecular Biology, p. 141-152, 2014

DOI: 10.1007/978-1-4939-0512-6_8

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Interpreting and Visualizing ChIP-seq Data with the seqMINER Software

Journal article published in 2014 by Tao Ye, Sarina Ravens, Arnaud R. Krebs, László Tora ORCID
This paper is available in a repository.
This paper is available in a repository.

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Data provided by SHERPA/RoMEO

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.