FastRet: Retention Time Prediction in Liquid Chromatography

A framework for predicting retention times in liquid chromatography. Users can train custom models for specific chromatography columns, predict retention times using existing models, or adjust existing models to account for altered experimental conditions. The provided functionalities can be accessed either via the R console or via a graphical user interface. Related work: Bonini et al. (2020) <doi:10.1021/acs.analchem.9b05765>.

Getting started

Package details

AuthorChristian Amesoeder [aut, cph] (<https://orcid.org/0000-0002-1668-8351>), Marian Schoen [aut, cph], Tobias Schmidt [aut, cre, cph] (<https://orcid.org/0000-0001-9681-9253>), Fadi Fadil [ctb] (<https://orcid.org/0000-0002-9532-1901>), Katja Dettmer [ths, cph] (<https://orcid.org/0000-0001-7337-2380>), Peter Oefner [ths, cph] (<https://orcid.org/0000-0002-1499-3977>)
Bioconductor views Chromotography LC-MS Retention Time
MaintainerTobias Schmidt <tobias.schmidt331@gmail.com>
LicenseGPL-3
Version1.1.3
URL https://github.com/spang-lab/FastRet/ https://spang-lab.github.io/FastRet/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("FastRet")

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FastRet documentation built on June 25, 2024, 5:07 p.m.