AI Article Synopsis
- ChIP-seq is a technique used to analyze protein-DNA interactions across the entire genome, but managing and interpreting the large datasets it produces can be difficult for researchers.
- The seqMINER platform was created to simplify the handling, comparison, and visualization of these sequencing datasets, making it easier for biologists to work with them.
- This text provides a comprehensive guide on the various analysis modules available in the latest version of seqMINER to help researchers understand binding patterns in their data.
Article 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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| http://dx.doi.org/10.1007/978-1-4939-0512-6_8 | DOI Listing |
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