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Article: Computational approaches for predicting variant impact: An overview from resources, principles to applications

TitleComputational approaches for predicting variant impact: An overview from resources, principles to applications
Authors
Issue Date2022
Citation
Frontiers in Genetics, 2022, v. 13 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320622
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorYeung, WSB-
dc.contributor.authorChiu, CN-
dc.contributor.authorCao, D-
dc.date.accessioned2022-10-21T07:56:47Z-
dc.date.available2022-10-21T07:56:47Z-
dc.date.issued2022-
dc.identifier.citationFrontiers in Genetics, 2022, v. 13-
dc.identifier.urihttp://hdl.handle.net/10722/320622-
dc.languageeng-
dc.relation.ispartofFrontiers in Genetics-
dc.titleComputational approaches for predicting variant impact: An overview from resources, principles to applications-
dc.typeArticle-
dc.identifier.emailYeung, WSB: wsbyeung@hku.hk-
dc.identifier.emailChiu, CN: pchiucn@hku.hk-
dc.identifier.authorityYeung, WSB=rp00331-
dc.identifier.authorityChiu, CN=rp00424-
dc.identifier.doi10.3389/fgene.2022.981005-
dc.identifier.hkuros340460-
dc.identifier.volume13-
dc.identifier.isiWOS:000868276100001-

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