tcplfit2: an R-language general purpose concentration-response modeling package.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
27 01 2022
Historique:
received: 09 08 2021
revised: 14 10 2021
accepted: 09 11 2021
pubmed: 19 11 2021
medline: 3 2 2023
entrez: 18 11 2021
Statut: ppublish

Résumé

Many applications of chemical screening are performed in concentration or dose-response 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-response data is tcpl (ToxCast Pipeline). The current implementation of tcpl has the concentration-response 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-response data such as high-throughput whole genome transcriptomics. tcplfit2 is written in R and is available from CRAN.

Identifiants

pubmed: 34791027
pii: 6428656
doi: 10.1093/bioinformatics/btab779
pmc: PMC10202035
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

1157-1158

Subventions

Organisme : US EPA.

Informations de copyright

Published by Oxford University Press 2021. This work is written by US Government employees and is in the public domain in the US.

Références

Toxicol Sci. 2007 Jul;98(1):240-8
pubmed: 17449896
Bioinformatics. 2019 May 15;35(10):1780-1782
pubmed: 30329029
Bioinformatics. 2017 Feb 15;33(4):618-620
pubmed: 27797781
PLoS One. 2015 Dec 30;10(12):e0146021
pubmed: 26717316
BMC Genomics. 2007 Oct 25;8:387
pubmed: 17961223
Toxicol Sci. 2021 Apr 27;181(1):68-89
pubmed: 33538836

Auteurs

Thomas Sheffield (T)

Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA.

Jason Brown (J)

US Environmental Protection Agency, RTP NC USA.

Sarah Davidson (S)

US Environmental Protection Agency, RTP NC USA.

Katie Paul Friedman (KP)

US Environmental Protection Agency, RTP NC USA.

Richard Judson (R)

US Environmental Protection Agency, RTP NC USA.

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Classifications MeSH