| dc.creator | Tamposis I.A., Tsirigos K.D., Theodoropoulou M.C., Kontou P.I., Tsaousis G.N., Sarantopoulou D., Litou Z.I., Bagos P.G. | en |
| dc.date.accessioned | 2023-01-31T10:06:12Z | |
| dc.date.available | 2023-01-31T10:06:12Z | |
| dc.date.issued | 2019 | |
| dc.identifier | 10.1093/bioinformatics/btz533 | |
| dc.identifier.issn | 13674803 | |
| dc.identifier.uri | http://hdl.handle.net/11615/79598 | |
| dc.description.abstract | JUCHMME is an open-source software package designed to fit arbitrary custom Hidden Markov Models (HMMs) with a discrete alphabet of symbols. We incorporate a large collection of standard algorithms for HMMs as well as a number of extensions and evaluate the software on various biological problems. Importantly, the JUCHMME toolkit includes several additional features that allow for easy building and evaluation of custom HMMs, which could be a useful resource for the research community. © 2019 The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. | en |
| dc.language.iso | en | en |
| dc.source | Bioinformatics | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077775689&doi=10.1093%2fbioinformatics%2fbtz533&partnerID=40&md5=d6ca1ee55ffa92667c2c191762c258e2 | |
| dc.subject | algorithm | en |
| dc.subject | article | en |
| dc.subject | hidden Markov model | en |
| dc.subject | sequence analysis | en |
| dc.subject | software | en |
| dc.subject | sequence analysis | en |
| dc.subject | software | en |
| dc.subject | Algorithms | en |
| dc.subject | Sequence Analysis | en |
| dc.subject | Software | en |
| dc.subject | Oxford University Press | en |
| dc.title | JUCHMME: A Java Utility for Class Hidden Markov Models and Extensions for biological sequence analysis | en |
| dc.type | journalArticle | en |
