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Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessib...

Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessib...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa44b48619cd4983a029ddb69cc82651

Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

About this item

Full title

Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2020-02, Vol.21 (1), p.32-32, Article 32

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

We developed Lisa (
http://lisa.cistrome.org/
) to predict the transcriptional regulators (TRs) of differentially expressed or co-expressed gene sets. Based on the input gene sets, Lisa first uses histone mark ChIP-seq and chromatin accessibility profiles to construct a chromatin model r...

Alternative Titles

Full title

Lisa: inferring transcriptional regulators through integrative modeling of public chromatin accessibility and ChIP-seq data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fa44b48619cd4983a029ddb69cc82651

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fa44b48619cd4983a029ddb69cc82651

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-020-1934-6

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