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dc.contributor.authorBoudellioua, Imene
dc.contributor.authorKulmanov, Maxat
dc.contributor.authorSchofield, Paul N.
dc.contributor.authorGkoutos, Georgios V.
dc.contributor.authorHoehndorf, Robert
dc.date.accessioned2021-01-26T11:21:19Z
dc.date.available2021-01-26T11:21:19Z
dc.date.issued2016-03-14
dc.identifier.urihttp://hdl.handle.net/10754/667044
dc.description.abstractA phenotype-based tool for variant prioritization in WES and WGS data
dc.publisherGithub
dc.relation.urlhttps://github.com/bio-ontology-research-group/phenomenet-vp
dc.titlebio-ontology-research-group/phenomenet-vp: A phenotype-based tool for variant prioritization in WES and WGS data
dc.typeSoftware
dc.contributor.departmentBio-Ontology Research Group (BORG)
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
kaust.personKulmanov, Maxat
kaust.personKulmanov, Maxat
kaust.personHoehndorf, Robert
kaust.personHoehndorf, Robert
dc.relation.issupplementtoDOI:10.1186/s12859-019-2633-8
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Article]</i> <br/> Boudellioua I, Kulmanov M, Schofield PN, Gkoutos GV, Hoehndorf R (2019) DeepPVP: phenotype-based prioritization of causative variants using deep learning. BMC Bioinformatics 20. Available: http://dx.doi.org/10.1186/s12859-019-2633-8.. DOI: <a href="https://doi.org/10.1186/s12859-019-2633-8" >10.1186/s12859-019-2633-8</a> Handle: <a href="http://hdl.handle.net/10754/627821" >10754/627821</a></a></li></ul>
dc.identifier.githubbio-ontology-research-group/phenomenet-vp


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