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A brief guide to analyzing expression quantitative trait loci
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dc.contributor.author Ko, Byung Su -
dc.contributor.author Lee, Sung Bae -
dc.contributor.author Kim, Tae-Kyung -
dc.date.accessioned 2024-12-20T19:10:18Z -
dc.date.available 2024-12-20T19:10:18Z -
dc.date.created 2024-10-28 -
dc.date.issued 2024-11 -
dc.identifier.issn 1016-8478 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57309 -
dc.description.abstract Molecular quantitative trait locus (molQTL) mapping has emerged as an important approach for elucidating the functional consequences of genetic variants and unraveling the causal mechanisms underlying diseases or complex traits. However, the variety of analysis tools and sophisticated methodologies available for molQTL studies can be overwhelming for researchers with limited computational expertise. Here, we provide a brief guideline with a curated list of methods and software tools for analyzing expression quantitative trait loci, the most widely studied type of molQTL. © 2024 The Author(s) -
dc.language English -
dc.publisher Elsevier -
dc.title A brief guide to analyzing expression quantitative trait loci -
dc.type Article -
dc.identifier.doi 10.1016/j.mocell.2024.100139 -
dc.identifier.wosid 001356767700001 -
dc.identifier.scopusid 2-s2.0-85208669049 -
dc.identifier.bibliographicCitation Ko, Byung Su. (2024-11). A brief guide to analyzing expression quantitative trait loci. Molecules and Cells, 47(11). doi: 10.1016/j.mocell.2024.100139 -
dc.identifier.kciid ART003145202 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordPlus RNA-SEQ DATA -
dc.subject.keywordPlus GENE-EXPRESSION -
dc.subject.keywordPlus EQTL ANALYSIS -
dc.subject.keywordPlus ASSOCIATION -
dc.subject.keywordPlus POPULATION -
dc.subject.keywordPlus DISCOVERY -
dc.subject.keywordPlus THOUSANDS -
dc.subject.keywordPlus FRAMEWORK -
dc.subject.keywordPlus VARIANTS -
dc.subject.keywordPlus REVEALS -
dc.citation.number 11 -
dc.citation.title Molecules and Cells -
dc.citation.volume 47 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.description.journalRegisteredClass kci -
dc.relation.journalResearchArea Biochemistry & Molecular Biology; Cell Biology -
dc.relation.journalWebOfScienceCategory Biochemistry & Molecular Biology; Cell Biology -
dc.type.docType Editorial Material -
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이성배
Lee, Sung Bae이성배

Department of Brain Sciences

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