Genomics

Dataset Information

0

PING 2.0: An R/Bioconductor package for nucleosome positioning using next-generation sequencing data


ABSTRACT: MNase-Seq and ChIP-Seq have evolved as popular techniques to study chromatin and histone modification. Although many tools have been developed to identify enriched regions, software tools for nucleosome positioning are still limited. We introduce a flexible and powerful open-source R package, PING 2.0, for nucleosome positioning using MNase-Seq data or MNase- or sonicated- ChIP-Seq data combined with either single-end or paired-end sequencing. PING uses a model-based approach, which enables nucleosome predictions even in the presence of low read counts. We illustrate PING using two paired-end datasets from Saccharomyces cerevisiae and compare its performance to nucleR and ChIPseqR.

ORGANISM(S): Saccharomyces cerevisiae

PROVIDER: GSE47073 | GEO | 2013/07/11

SECONDARY ACCESSION(S): PRJNA203417

REPOSITORIES: GEO

Dataset's files

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

Similar Datasets

2013-07-11 | E-GEOD-47073 | biostudies-arrayexpress
2017-06-05 | E-MTAB-5042 | biostudies-arrayexpress
2015-05-17 | E-MTAB-1844 | biostudies-arrayexpress
2014-05-01 | E-GEOD-53027 | biostudies-arrayexpress
2014-08-01 | E-GEOD-56992 | biostudies-arrayexpress
2017-02-26 | GSE70122 | GEO
2012-08-01 | E-GEOD-36979 | biostudies-arrayexpress
2012-10-21 | E-GEOD-40896 | biostudies-arrayexpress
| PRJNA142813 | ENA
| PRJEB2854 | ENA