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dc.contributor.authorCarson, Andrew
dc.contributor.authorSmith, Erin N
dc.contributor.authorMatsui, Hiroko
dc.contributor.authorBrækkan, Sigrid Kufaas
dc.contributor.authorJepsen, Kristen
dc.contributor.authorHansen, John-Bjarne
dc.contributor.authorFrazer, Kelly
dc.date.accessioned2015-03-09T09:22:27Z
dc.date.available2015-03-09T09:22:27Z
dc.date.issued2014
dc.identifier.citationBMC Bioinformatics 2014, 15:125en_US
dc.identifier.cristinIDFRIDAID 1159294
dc.identifier.doi10.1186/1471-2105-15-125
dc.identifier.issn1471-2105
dc.identifier.urihttps://hdl.handle.net/10037/7368
dc.identifier.urnURN:NBN:no-uit_munin_6956
dc.language.isoengen_US
dc.publisherBioMed Centralen_US
dc.rights.accessRightsopenAccess
dc.subjectVDP:806en_US
dc.titleEffective filtering strategies to improve data quality from population-based whole exome sequencing studiesen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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