{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T03:34:56Z","timestamp":1782790496284,"version":"3.54.5"},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T00:00:00Z","timestamp":1636934400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000139","name":"US EPA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Many applications of chemical screening are performed in concentration or dose\u2013response mode, and it is necessary to extract appropriate parameters, including whether the chemical\/assay pair is active and if so, what are concentrations where activity is seen. Typically, multiple mathematical models or curve shapes are tested against the data to assess the best fit. There are several commercial programs used for this purpose as well as open-source libraries. A widely used system for managing high-throughput screening (HTS) concentration\u2013response data is tcpl (ToxCast Pipeline). The current implementation of tcpl has the concentration\u2013response modeling code tightly integrated with the data management and databasing aspects of HTS data processing. Tcplfit2 is a stand-alone version of the curve-fitting and hitcalling core of tcpl that has been extended to include a large number of standard curve classes and to use benchmark dose modeling. This package will be useful for HTS concentration\u2013response data such as high-throughput whole genome transcriptomics.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>tcplfit2 is written in R and is available from CRAN.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab779","type":"journal-article","created":{"date-parts":[[2021,11,10]],"date-time":"2021-11-10T04:47:04Z","timestamp":1636519624000},"page":"1157-1158","source":"Crossref","is-referenced-by-count":40,"title":["tcplfit2: an R-language general purpose concentration\u2013response modeling package"],"prefix":"10.1093","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9073-6334","authenticated-orcid":false,"given":"Thomas","family":"Sheffield","sequence":"first","affiliation":[{"name":"Oak Ridge Institute for Science and Education , Oak Ridge, TN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jason","family":"Brown","sequence":"additional","affiliation":[{"name":"US Environmental Protection Agency, RTP NC \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah","family":"Davidson","sequence":"additional","affiliation":[{"name":"US Environmental Protection Agency, RTP NC \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2710-1691","authenticated-orcid":false,"given":"Katie Paul","family":"Friedman","sequence":"additional","affiliation":[{"name":"US Environmental Protection Agency, RTP NC \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2348-9633","authenticated-orcid":false,"given":"Richard","family":"Judson","sequence":"additional","affiliation":[{"name":"US Environmental Protection Agency, RTP NC \u00a0 USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,11,15]]},"reference":[{"key":"2023052409422895400_btab779-B1","volume-title":"Information Theory and an Extension of the Maximum Liklihood Principle","author":"Akaike","year":"1998"},{"key":"2023052409422895400_btab779-B2","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1093\/bioinformatics\/btw680","article-title":"tcpl: the ToxCast pipeline for high-throughput screening data","volume":"33","author":"Filer","year":"2017","journal-title":"Bioinformatics"},{"key":"2023052409422895400_btab779-B3","article-title":"Prism","year":"2021"},{"key":"2023052409422895400_btab779-B4","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1093\/toxsci\/kfab009","article-title":"High-throughput transcriptomics platform for screening environmental chemicals","volume":"181","author":"Harrill","year":"2021","journal-title":"Toxicol. 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