{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,24]],"date-time":"2023-08-24T04:17:45Z","timestamp":1692850665139},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"19","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Summary<\/jats:title><jats:p>Chronic wasting disease is a fatal, neurological disease caused by an infectious prion protein, which affects economically and ecologically important members of the family Cervidae. Single nucleotide polymorphisms within the prion protein gene have been linked to differential susceptibility to the disease in many species. Wildlife managers are seeking to determine the frequencies of disease-associated alleles and genotypes and delineate spatial genetic patterns. The CWDPRNP package, implemented in program R, provides a unified framework for analyzing prion protein gene variability and spatial structure.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The CWDPRNP package, manual and example data files are available at http:\/\/ecosystems.psu.edu\/research\/labs\/walter-lab\/additional-labs\/population-genetics-lab. This package is available for all commonly used platforms.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx333","type":"journal-article","created":{"date-parts":[[2017,5,25]],"date-time":"2017-05-25T11:09:59Z","timestamp":1495710599000},"page":"3096-3097","source":"Crossref","is-referenced-by-count":2,"title":["CWDPRNP: a tool for cervid prion sequence analysis in program R"],"prefix":"10.1093","volume":"33","author":[{"given":"William L","family":"Miller","sequence":"first","affiliation":[{"name":"Pennsylvania Cooperative Fish and Wildlife Research Unit, Department of Ecosystem Science and Management, Intercollege Graduate Degree Program in Ecology, The Pennsylvania State University, University Park, PA, USA"}]},{"given":"W David","family":"Walter","sequence":"additional","affiliation":[{"name":"U.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, PA, USA"}]}],"member":"286","published-online":{"date-parts":[[2017,5,26]]},"reference":[{"key":"2023020206471665300_btx333-B1","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1093\/bioinformatics\/btv494","article-title":"msa: an R package for multiple sequence alignment","volume":"31","author":"Bodenhofer","year":"2015","journal-title":"Bioinformatics"},{"key":"2023020206471665300_btx333-B2","doi-asserted-by":"crossref","first-page":"28","DOI":"10.4161\/pri.2.1.6321","article-title":"Prion sequence polymorphisms and chronic wasting disease resistance in Illinois white-tailed deer (Odocoileus virginianus)","volume":"2","author":"Kelly","year":"2014","journal-title":"Prion"},{"key":"2023020206471665300_btx333-B3","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1099\/vir.0.79785-0","article-title":"Polymorphisms in the prion precursor functional gene but not the pseudogene are associated with susceptibility to chronic wasting disease in white-tailed deer","volume":"85","author":"O\u2019Rourke","year":"2004","journal-title":"J. Gen. Virol"},{"key":"2023020206471665300_btx333-B4","author":"R Core Team","year":"2017"},{"key":"2023020206471665300_btx333-B5","doi-asserted-by":"crossref","first-page":"153","DOI":"10.4161\/pri.19640","article-title":"The role of genetics in chronic wasting disease of North American cervids","volume":"6","author":"Robinson","year":"2012","journal-title":"Prion"},{"key":"2023020206471665300_btx333-B6","doi-asserted-by":"crossref","first-page":"369","DOI":"10.3201\/eid1803.110685","article-title":"Occurrence, transmission, and zoonotic potential of chronic wasting disease","volume":"18","author":"Saunders","year":"2012","journal-title":"Emerg. Infect. Dis"},{"key":"2023020206471665300_btx333-B7","doi-asserted-by":"crossref","first-page":"352","DOI":"10.32614\/RJ-2016-025","article-title":"Using DECIPHER v2. 0 to analyze big biological sequence data in R","volume":"8","author":"Wright","year":"2016","journal-title":"R. J"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/19\/3096\/49041426\/bioinformatics_33_19_3096.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/19\/3096\/49041426\/bioinformatics_33_19_3096.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T18:48:54Z","timestamp":1692816534000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/33\/19\/3096\/3854932"}},"subtitle":[],"editor":[{"given":"John","family":"Hancock","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2017,5,26]]},"references-count":7,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2017,10,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btx333","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2017,10,1]]},"published":{"date-parts":[[2017,5,26]]}}}