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Nucleic Acids Res. 2011 Mar;39(6):e35. doi: 10.1093/nar/gkq1287. Epub 2010 Dec 21.

seqMINER: an integrated ChIP-seq data interpretation platform.

Author information

1
Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, CNRS UMR 7104, INSERM U 596, Université de Strasbourg, BP 10142-67404 ILLKIRCH Cedex, CU de Strasbourg, France.

Abstract

In a single experiment, chromatin immunoprecipitation combined with high throughput sequencing (ChIP-seq) provides genome-wide information about a given covalent histone modification or transcription factor occupancy. However, time efficient bioinformatics resources for extracting biological meaning out of these gigabyte-scale datasets are often a limiting factor for data interpretation by biologists. We created an integrated portable ChIP-seq data interpretation platform called seqMINER, with optimized performances for efficient handling of multiple genome-wide datasets. seqMINER allows comparison and integration of multiple ChIP-seq datasets and extraction of qualitative as well as quantitative information. seqMINER can handle the biological complexity of most experimental situations and proposes methods to the user for data classification according to the analysed features. In addition, through multiple graphical representations, seqMINER allows visualization and modelling of general as well as specific patterns in a given dataset. To demonstrate the efficiency of seqMINER, we have carried out a comprehensive analysis of genome-wide chromatin modification data in mouse embryonic stem cells to understand the global epigenetic landscape and its change through cellular differentiation.

PMID:
21177645
PMCID:
PMC3064796
DOI:
10.1093/nar/gkq1287
[Indexed for MEDLINE]
Free PMC Article

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