Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/6403
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dc.contributor.authorGarai, Nemanjaen_US
dc.contributor.authorPetrović, K.en_US
dc.contributor.authorKaranović, Jelenaen_US
dc.contributor.authorDejanović, I.en_US
dc.contributor.authorPerić, S.en_US
dc.contributor.authorBasta, I.en_US
dc.contributor.authorJovanović, VM.en_US
dc.contributor.authorSavić-Pavićević, Dušankaen_US
dc.date.accessioned2023-11-02T11:41:23Z-
dc.date.available2023-11-02T11:41:23Z-
dc.date.issued2023-10-06-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/6403-
dc.descriptionAbstract Book – Trends in Molecular Biology, Special issueen_US
dc.titleIdentification of potentally causal variants for myasthenia gravis: a bioinformatics-driven fine-mapping approach combined with genetic association studyen_US
dc.typeConference Paperen_US
dc.relation.conferenceCoMBoS2 – the Second Congress of Molecular Biologists of Serbiaen_US
dc.description.rankM64en_US
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeConference Paper-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.orcid0000-0002-6291-5527-
crisitem.author.orcid0000-0002-2079-4077-
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