Genomics

Dataset Information

0

Antibody performance in ChIP-sequencing assays: From quality scores of public datasets to quantitative certification


ABSTRACT: We have established a certification system for antibodies to be used in chromatin immunoprecipitation assays coupled to massive parallel sequencing (ChIP-seq). This certification comprises a standardized ChIP procedure and the attribution of a numerical quality control indicator (QCi) to biological replicate experiments. The QCi computation is based on a universally applicable quality assessment that quantitates the global deviation of randomly sampled subsets of ChIP-seq dataset with the original genome-aligned sequence reads. Comparison with a QCi database for >28,000 ChIP-seq assays were used to attribute quality grades (ranging from ‘AAA’ to ‘DDD’) to a given dataset. In the present report we used the numerical QC system to assess the factors influencing the quality of ChIP-seq assays, including the nature of the target, the sequencing depth and the commercial source of the antibody. We have used this approach specifically to certify mono and polyclonal antibodies obtained from Active Motif directed against the histone modification marks H3K4me3, H3K27ac and H3K9ac for ChIP-seq. The antibodies received the grades AAA to BBA (www.ngs-qc.org). We propose to attribute such quantitative grading of all antibodies attributed with the label “ChIP-seq grade”.

ORGANISM(S): Homo sapiens

PROVIDER: GSE76618 | GEO | 2016/01/07

SECONDARY ACCESSION(S): PRJNA308201

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2016-01-07 | E-GEOD-76618 | biostudies-arrayexpress
2019-03-21 | PXD012930 | Pride
2022-09-29 | PXD036528 | Pride
| PRJNA224548 | ENA
| PRJNA253030 | ENA
2013-08-01 | E-MTAB-1648 | biostudies-arrayexpress
2020-09-01 | GSE152144 | GEO
2020-06-09 | GSE151287 | GEO
2018-09-20 | GSE103543 | GEO
2017-09-01 | GSE79707 | GEO