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https://hdl.handle.net/1959.11/56324
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ferdosi, M H | en |
dc.contributor.author | Masoodi, S | en |
dc.contributor.author | Khansefid, M | en |
local.source.editor | Editor(s): Veerkamp, R F and de Haas, Y | en |
dc.date.accessioned | 2023-10-10T02:57:15Z | - |
dc.date.available | 2023-10-10T02:57:15Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Proceedings of the 12th World Congress on Genetics Applied to Livestock Production, v.12, p. 1450-1453 | en |
dc.identifier.isbn | 978-90-8686-940-4 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/56324 | - |
dc.description.abstract | <p>In this paper, we introduced two novel algorithms to identify duplicated genotypes. The runtime of these algorithms was compared with the widely adopted Exhaustive Search algorithm using simulated data. We found that both new algorithms could significantly reduce the execution time. Further, the optimised Matrix Algebra Approach algorithm was faster than the Dis-Similarity lookup table and could improve the performance nearly 34 times compared to Exhaustive Search</p> | en |
dc.language | en | en |
dc.publisher | Wageningen Academic Publishers | en |
dc.relation.ispartof | Proceedings of the 12th World Congress on Genetics Applied to Livestock Production | en |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Efficient algorithms to identify duplicated genotypes in large datasets | en |
dc.type | Conference Publication | en |
dc.relation.conference | 12th World Congress on Genetics Applied to Livestock Production | en |
dc.identifier.doi | 10.3920/978-90-8686-940-4_346 | en |
dcterms.accessRights | UNE Green | en |
local.contributor.firstname | M H | en |
local.contributor.firstname | S | en |
local.contributor.firstname | M | en |
local.profile.school | Animal Genetics and Breeding Unit | en |
local.profile.email | mferdos3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 3 – 8 July, 2022 | en |
local.conference.place | Rotterdam, The Netherlands | en |
local.publisher.place | Wageningen, The Netherlands | en |
local.identifier.runningnumber | 346 | en |
local.format.startpage | 1450 | en |
local.format.endpage | 1453 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 12 | en |
local.access.fulltext | Yes | en |
local.contributor.lastname | Ferdosi | en |
local.contributor.lastname | Masoodi | en |
local.contributor.lastname | Khansefid | en |
dc.identifier.staff | une-id:mferdos3 | en |
local.profile.orcid | 0000-0001-5385-4913 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/56324 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Efficient algorithms to identify duplicated genotypes in large datasets | en |
local.relation.fundingsourcenote | This study was supported by Meat and Livestock Australia project L.GEN.1704. | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.relation.url | https://www.wageningenacademic.com/doi/10.3920/978-90-8686-940-4_346 | en |
local.conference.details | 12th World Congress on Genetics Applied to Livestock Production, Rotterdam, The Netherlands, 3 – 8 July, 2022 | en |
local.search.author | Ferdosi, M H | en |
local.search.author | Masoodi, S | en |
local.search.author | Khansefid, M | en |
local.open.fileurl | https://rune.une.edu.au/web/retrieve/aabb9446-e9b7-480b-b98e-22a2cc4a10a8 | en |
local.uneassociation | Yes | en |
dc.date.presented | 2022-07-05 | - |
local.atsiresearch | No | en |
local.conference.venue | De Doelen International Conference Center Rotterdam Schouwburgplein 50 Rotterdam, The Netherlands | en |
local.sensitive.cultural | No | en |
local.year.published | 2022 | en |
local.year.presented | 2022 | en |
local.fileurl.open | https://rune.une.edu.au/web/retrieve/aabb9446-e9b7-480b-b98e-22a2cc4a10a8 | en |
local.fileurl.openpublished | https://rune.une.edu.au/web/retrieve/aabb9446-e9b7-480b-b98e-22a2cc4a10a8 | en |
local.subject.for2020 | 300305 Animal reproduction and breeding | en |
local.subject.for2020 | 310506 Gene mapping | en |
local.subject.for2020 | 310509 Genomics | en |
local.subject.seo2020 | 280101 Expanding knowledge in the agricultural, food and veterinary sciences | en |
local.date.start | 2022-07-03 | - |
local.date.end | 2022-07-08 | - |
local.profile.affiliationtype | UNE Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
local.profile.affiliationtype | External Affiliation | en |
Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Conference Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
openpublished/EfficientalgorithmsFerdosi2022ConferencePaper.pdf | Conference Paper | 369.45 kB | Adobe PDF Download Adobe | View/Open |
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