IPScan: Detecting novel intronic PolyAdenylation events with RNA-seq data.
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| Title: | IPScan: Detecting novel intronic PolyAdenylation events with RNA-seq data. |
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| Authors: | Fahmi NA; Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America., Cheng S; Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America., Overstreet J; Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America., Song Q; Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, Florida, United States of America., Yong J; Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota Twin Cities, Minneapolis, Minnesota, United States of America., Zhang W; Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2025 Nov 11; Vol. 21 (11), pp. e1013668. Date of Electronic Publication: 2025 Nov 11 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1553-7358 |
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| DOI: | 10.1371/journal.pcbi.1013668 |
