HSMotifDiscover: identification of motifs in sequences composed of non-single-letter elements.

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Bibliographic Details
Title: HSMotifDiscover: identification of motifs in sequences composed of non-single-letter elements.
Authors: Singh VK; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA., Misra R; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA., Almo SC; Department of Biochemistry, Albert Einstein College of Medicine, Bronx, NY 10461, USA., Steidl UG; Department of Cell Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA., Bülow HE; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.; Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA., Zheng D; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA.; Department of Neuroscience, Albert Einstein College of Medicine, Bronx, NY 10461, USA.; Department of Neurology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2022 Aug 10; Vol. 38 (16), pp. 4036-4038.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1367-4811
DOI:10.1093/bioinformatics/btac437