Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/45073
DC FieldValueLanguage
dc.contributor.authorPetrini, A.en
dc.contributor.authorRobinson, Pnen
dc.contributor.authorValentini, G.en
dc.contributor.authorMesiti, M.en
dc.contributor.authorSchubach, M.en
dc.contributor.authorFrasca, M.en
dc.contributor.authorDanis, D.en
dc.contributor.authorRe, M.en
dc.contributor.authorGrossi, G.en
dc.contributor.authorCappelletti, L.en
dc.contributor.authorCastrignanò, Tizianaen
dc.date.accessioned2021-11-02T17:36:44Z-
dc.date.available2021-11-02T17:36:44Z-
dc.date.issued2020en
dc.identifier.urihttp://hdl.handle.net/2067/45073-
dc.titleparSMURF, a high-performance computing tool for the genome-wide detection of pathogenic variants.en
dc.typearticleen
dc.relation.issn2047-217Xen
dc.relation.journalGIGASCIENCEen
dc.type.miur262en
local.miur.syncfalseen
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.journal.journalissn2047-217X-
crisitem.journal.anceE223365-
Appears in Collections:A1. Articolo in rivista
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