Genomics

Dataset Information

101

Systematic bias in high-throughput sequencing data and its correction by BEADS


ABSTRACT: ChIP-seq and input sequence data used in the development and evaluation of the BEADS normalization method. Examination of ChIP and input sequence reads across the worm genome

ORGANISM(S): Caenorhabditis elegans  

SUBMITTER: Ming-Sin Cheung  Julie Ahringer   Isabel Latorre   Thomas A Down    

PROVIDER: E-GEOD-29427 | ArrayExpress | 2013-04-03

SECONDARY ACCESSION(S): SRP006819GSE29427PRJNA141495

REPOSITORIES: GEO, ArrayExpress, ENA

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Publications

Systematic bias in high-throughput sequencing data and its correction by BEADS.

Cheung Ming-Sin MS   Down Thomas A TA   Latorre Isabel I   Ahringer Julie J  

Nucleic acids research 20110606 15


Genomic sequences obtained through high-throughput sequencing are not uniformly distributed across the genome. For example, sequencing data of total genomic DNA show significant, yet unexpected enrichments on promoters and exons. This systematic bias is a particular problem for techniques such as chromatin immunoprecipitation, where the signal for a target factor is plotted across genomic features. We have focused on data obtained from Illumina's Genome Analyser platform, where at least three fa  ...[more]

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