Splam: a deep-learning-based splice site predictor that improves spliced alignments.

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Title: Splam: a deep-learning-based splice site predictor that improves spliced alignments.
Authors: Chao KH; Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA. kh.chao@cs.jhu.edu.; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21211, USA. kh.chao@cs.jhu.edu., Mao A; Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21211, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA., Salzberg SL; Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21211, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, USA., Pertea M; Department of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA. mpertea@jhu.edu.; Center for Computational Biology, Johns Hopkins University, Baltimore, MD, 21211, USA. mpertea@jhu.edu.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. mpertea@jhu.edu.
Source: Genome biology [Genome Biol] 2024 Sep 16; Vol. 25 (1), pp. 243. Date of Electronic Publication: 2024 Sep 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1474-760X
DOI:10.1186/s13059-024-03379-4