PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants
PINES: phenotype-informed tissue weighting improves prediction of pathogenic noncoding variants
About this item
Full title
Author / Creator
Publisher
England: BioMed Central Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: BioMed Central Ltd
Subjects
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
Authors, Artists and Contributors
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