SEMPLR: an R package for transcription factor binding prediction
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ID: 317109
2026
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Abstract
Abstract Summary 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. Availability Available on GitHub at https://github.com/grkenney/SEMPLR and on Bioconductor at https://bioconductor.org/packages/release/bioc/html/SEMPLR.html. Supplementary information Supplementary data are available at Bioinformatics online.
| Reference Key |
openalex_W7164490913
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| Authors | Grace E. Kenney, Rintsen N Sherpa, Jeremy D. Burgess, Alan P. Boyle, Douglas H. Phanstiel |
| Journal | BMC Bioinformatics |
| Year | 2026 |
| DOI |
10.1093/bioinformatics/btag383
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| URL | |
| Keywords | Keywords not found |
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