Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization.

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Title: Regulatory landscape enrichment analysis (RLEA): a computational toolkit for non-coding variant enrichment and cell type prioritization.
Authors: Rosean S; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Sosa EA; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., O'Shea D; School of Mathematics, Statistics & Applied Mathematics, National University of Ireland Galway, Galway, H91 TK33, Ireland., Raj SM; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA., Seoighe C; School of Mathematics, Statistics & Applied Mathematics, National University of Ireland Galway, Galway, H91 TK33, Ireland., Greally JM; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. john.greally@einsteinmed.edu.
Source: BMC bioinformatics [BMC Bioinformatics] 2024 May 07; Vol. 25 (1), pp. 179. Date of Electronic Publication: 2024 May 07.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-024-05794-7