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PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_01dfcfcedd2d4a578c8bac8e1ec8674c

PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

About this item

Full title

PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2018-10, Vol.19 (1), p.173-173, Article 173

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Functional characterization of the noncoding genome is essential for biological understanding of gene regulation and disease. Here, we introduce the computational framework PINES (Phenotype-Informed Noncoding Element Scoring), which predicts the functional impact of noncoding variants by integrating epigenetic annotations in a phenotype-dependent m...

Alternative Titles

Full title

PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_01dfcfcedd2d4a578c8bac8e1ec8674c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_01dfcfcedd2d4a578c8bac8e1ec8674c

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-018-1546-6

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