G4Boost: a machine learning-based tool for quadruplex identification and stability prediction.

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Bibliographic Details
Title: G4Boost: a machine learning-based tool for quadruplex identification and stability prediction.
Authors: Cagirici HB; US Department of Agriculture - Agricultural Research Service, Crop Improvement Genetics Research Unit, Western Regional Research Center, 800 Buchanan St, Albany, CA, 94710, USA., Budak H; Montana BioAgriculture Inc., Missoula, MT, USA., Sen TZ; US Department of Agriculture - Agricultural Research Service, Crop Improvement Genetics Research Unit, Western Regional Research Center, 800 Buchanan St, Albany, CA, 94710, USA. taner.sen@usda.gov.
Source: BMC bioinformatics [BMC Bioinformatics] 2022 Jun 18; Vol. 23 (1), pp. 240. Date of Electronic Publication: 2022 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1471-2105
DOI:10.1186/s12859-022-04782-z