AGHmatrix: genetic relationship matrices in R
The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics. The AGHmatrix software is an R package focused on...
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Veröffentlicht in: | Bioinformatics (Oxford, England) England), 2023-07, Vol.39 (7) |
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creator | Amadeu, Rodrigo R Garcia, Antonio Augusto F Munoz, Patricio R Ferrão, Luís Felipe V |
description | The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics.
The AGHmatrix software is an R package focused on the construction of pedigree (A matrix) and/or molecular markers (G matrix), with the possibility of building a combined matrix of pedigree corrected by molecular markers (H matrix). Designed to estimate the relationships for any ploidy level, the software also includes auxiliary functions related to filtering molecular markers, and checks pedigree errors in large data sets. After computing the relationship matrices, results from the AGHmatrix can be used in different contexts, including on prediction of (genomic) estimated breeding values and genome-wide association studies.
AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https://cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https://github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples. |
doi_str_mv | 10.1093/bioinformatics/btad445 |
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The AGHmatrix software is an R package focused on the construction of pedigree (A matrix) and/or molecular markers (G matrix), with the possibility of building a combined matrix of pedigree corrected by molecular markers (H matrix). Designed to estimate the relationships for any ploidy level, the software also includes auxiliary functions related to filtering molecular markers, and checks pedigree errors in large data sets. After computing the relationship matrices, results from the AGHmatrix can be used in different contexts, including on prediction of (genomic) estimated breeding values and genome-wide association studies.
AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https://cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https://github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples.</description><identifier>ISSN: 1367-4811</identifier><identifier>ISSN: 1367-4803</identifier><identifier>EISSN: 1367-4811</identifier><identifier>DOI: 10.1093/bioinformatics/btad445</identifier><identifier>PMID: 37471595</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Applications Note</subject><ispartof>Bioinformatics (Oxford, England), 2023-07, Vol.39 (7)</ispartof><rights>The Author(s) 2023. Published by Oxford University Press.</rights><rights>The Author(s) 2023. Published by Oxford University Press. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c415t-6364fc484fee182a1c57bcf9bfcd0dca691d25895d31aff49429cc905972766e3</citedby><cites>FETCH-LOGICAL-c415t-6364fc484fee182a1c57bcf9bfcd0dca691d25895d31aff49429cc905972766e3</cites><orcidid>0000-0002-9655-4838 ; 0000-0001-8973-9351 ; 0000-0003-0634-3277</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371492/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371492/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37471595$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schwartz, Russell</contributor><creatorcontrib>Amadeu, Rodrigo R</creatorcontrib><creatorcontrib>Garcia, Antonio Augusto F</creatorcontrib><creatorcontrib>Munoz, Patricio R</creatorcontrib><creatorcontrib>Ferrão, Luís Felipe V</creatorcontrib><title>AGHmatrix: genetic relationship matrices in R</title><title>Bioinformatics (Oxford, England)</title><addtitle>Bioinformatics</addtitle><description>The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics.
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AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https://cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https://github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples.</description><subject>Applications Note</subject><issn>1367-4811</issn><issn>1367-4803</issn><issn>1367-4811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpVkF9LwzAUxYMoTqdfYfTRl7rc5k8bX2QM3YSBIPoc0jTZIm0zk07021vdHNvTvXDO-d3LQWgE-BawIOPSeddaHxrVOR3HZacqStkJugDC85QWAKcH-wBdxviOMWaY8XM0IDnNgQl2gdLJbN4zgvu6S5amNT0tCabuqb6NK7dO_kRtYuLa5OUKnVlVR3O9m0P09vjwOp2ni-fZ03SySDUF1qWccGo1Lag1BopMgWZ5qa0ora5wpRUXUGWsEKwioKylgmZCa4GZyLOcc0OG6H7LXW_KxlTatF1QtVwH16jwLb1y8lhp3Uou_acETHKgIusJNztC8B8bEzvZuKhNXavW-E2UWUEBgyiI6K18a9XBxxiM3d8BLH_Llsdly13ZfXB0-OU-9t8u-QGMf4Ge</recordid><startdate>20230701</startdate><enddate>20230701</enddate><creator>Amadeu, Rodrigo R</creator><creator>Garcia, Antonio Augusto F</creator><creator>Munoz, Patricio R</creator><creator>Ferrão, Luís Felipe V</creator><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9655-4838</orcidid><orcidid>https://orcid.org/0000-0001-8973-9351</orcidid><orcidid>https://orcid.org/0000-0003-0634-3277</orcidid></search><sort><creationdate>20230701</creationdate><title>AGHmatrix: genetic relationship matrices in R</title><author>Amadeu, Rodrigo R ; Garcia, Antonio Augusto F ; Munoz, Patricio R ; Ferrão, Luís Felipe V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-6364fc484fee182a1c57bcf9bfcd0dca691d25895d31aff49429cc905972766e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Applications Note</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amadeu, Rodrigo R</creatorcontrib><creatorcontrib>Garcia, Antonio Augusto F</creatorcontrib><creatorcontrib>Munoz, Patricio R</creatorcontrib><creatorcontrib>Ferrão, Luís Felipe V</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Bioinformatics (Oxford, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amadeu, Rodrigo R</au><au>Garcia, Antonio Augusto F</au><au>Munoz, Patricio R</au><au>Ferrão, Luís Felipe V</au><au>Schwartz, Russell</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>AGHmatrix: genetic relationship matrices in R</atitle><jtitle>Bioinformatics (Oxford, England)</jtitle><addtitle>Bioinformatics</addtitle><date>2023-07-01</date><risdate>2023</risdate><volume>39</volume><issue>7</issue><issn>1367-4811</issn><issn>1367-4803</issn><eissn>1367-4811</eissn><abstract>The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics.
The AGHmatrix software is an R package focused on the construction of pedigree (A matrix) and/or molecular markers (G matrix), with the possibility of building a combined matrix of pedigree corrected by molecular markers (H matrix). Designed to estimate the relationships for any ploidy level, the software also includes auxiliary functions related to filtering molecular markers, and checks pedigree errors in large data sets. After computing the relationship matrices, results from the AGHmatrix can be used in different contexts, including on prediction of (genomic) estimated breeding values and genome-wide association studies.
AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https://cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https://github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>37471595</pmid><doi>10.1093/bioinformatics/btad445</doi><orcidid>https://orcid.org/0000-0002-9655-4838</orcidid><orcidid>https://orcid.org/0000-0001-8973-9351</orcidid><orcidid>https://orcid.org/0000-0003-0634-3277</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Applications Note |
title | AGHmatrix: genetic relationship matrices in R |
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