Authors
Grace E Kenney, Rintsen N Sherpa, Jeremy D Burgess, Alan P Boyle, Douglas H Phanstiel
Published in
Bioinformatics (Oxford, England). Jun 12, 2026. Epub Jun 12, 2026.
Abstract
SEMPLR is an R package that predicts transcription factor binding and variant effects using SNP Effect Matrices (SEMs), providing efficient, genome-wide scoring, enrichment testing, and visualization tools for comprehensive analysis of regulatory sequences.
Available on GitHub at https://github.com/grkenney/SEMPLR and on Bioconductor at https://bioconductor.org/packages/release/bioc/html/SEMPLR.html.
Supplementary data are available at Bioinformatics online.
PMID:
42286344
Bibliographic data and abstract were imported from PubMed on 13 Jun 2026.
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