Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/10077
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Meyer, Karin | en |
dc.contributor.author | Tier, Bruce | en |
dc.date.accessioned | 2012-05-04T12:53:00Z | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Genetics, 190(1), p. 275-277 | en |
dc.identifier.issn | 1943-2631 | en |
dc.identifier.issn | 0016-6731 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/10077 | - |
dc.description.abstract | A strategy to reduce computational demands of genome-wide association studies fitting a mixed model is presented. Improvements are achieved by utilizing a large proportion of calculations that remain constant across the multiple analyses for individual markers involved, with estimates obtained without inverting large matrices. | en |
dc.language | en | en |
dc.publisher | Genetics Society of America | en |
dc.relation.ispartof | Genetics | en |
dc.title | "SNP Snappy": A Strategy for Fast Genome-Wide Association Studies Fitting a Full Mixed Model | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1534/genetics.111.134841 | en |
dcterms.accessRights | Gold | en |
dc.subject.keywords | Animal Breeding | en |
dc.subject.keywords | Genomics | en |
local.contributor.firstname | Karin | en |
local.contributor.firstname | Bruce | en |
local.subject.for2008 | 060408 Genomics | en |
local.subject.for2008 | 070201 Animal Breeding | en |
local.subject.seo2008 | 830301 Beef Cattle | en |
local.profile.school | Animal Genetics and Breeding Unit | en |
local.profile.school | Animal Genetics and Breeding Unit | en |
local.profile.email | kmeyer@une.edu.au | en |
local.profile.email | btier@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20120301-110444 | en |
local.publisher.place | United States of America | en |
local.format.startpage | 275 | en |
local.format.endpage | 277 | en |
local.identifier.scopusid | 84855424189 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 190 | en |
local.identifier.issue | 1 | en |
local.title.subtitle | A Strategy for Fast Genome-Wide Association Studies Fitting a Full Mixed Model | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Meyer | en |
local.contributor.lastname | Tier | en |
dc.identifier.staff | une-id:kmeyer | en |
dc.identifier.staff | une-id:btier | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:10268 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | "SNP Snappy" | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Meyer, Karin | en |
local.search.author | Tier, Bruce | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000299166800019 | en |
local.year.published | 2012 | en |
local.subject.for2020 | 310509 Genomics | en |
local.subject.for2020 | 300305 Animal reproduction and breeding | en |
local.subject.seo2020 | 100401 Beef cattle | en |
Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Journal Article |
Files in This Item:
File | Description | Size | Format |
---|
SCOPUSTM
Citations
36
checked on Feb 15, 2025
Page view(s)
2,030
checked on Jun 11, 2023
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.