{ "_id": "6a1f3734b401979e73428b1f", "Package": "PepSAVIms", "Type": "Package", "Title": "PepSAVI-MS Data Analysis", "Version": "0.9.2", "Date": "2016-12-16", "Authors@R": "c(\nperson(\"Pritchard\", \"David\", email=\"dpritch@live.unc.edu\", role=c(\"aut\", \"cre\")),\nperson(\"Kirkpatrick\", \"Christine\", email=\"ckirkpat@live.unc.edu\", role=\"aut\"))", "Description": "An implementation of the data processing and data analysis\nportion of the PepSAVI-MS pipeline developed by principal\ninvestigator Christine Kirkpatrick and the Hicks Laboratory at\nthe University of North Carolina, as presented in the paper\n\\emph{The \"PepSAVI-MS\" Pipeline for Natural Product Bioactive\nPeptide Discovery} (DOI:10.1021/acs.analchem.6b03625). The\nstatistical analysis package presented herein provides a\ncollection of software tools used to facilitate the\nprioritization of putative bioactive peptides from a complex\nbiological matrix. Tools are provided to deconvolute mass\nspectrometry features into a single representation for each\npeptide charge state, filter compounds to include only those\npossibly contributing to the observed bioactivity, and\nprioritize these remaining compounds for those most likely\ncontributing to each bioactivity data set.", "License": "CC BY-NC-SA 4.0", "URL": "https://github.com/dpritchLibre/PepSAVIms", "BugReports": "https://github.com/dpritchLibre/PepSAVIms/issues", "LazyData": "TRUE", "VignetteBuilder": "knitr", "RoxygenNote": "6.0.1", "Repository": "https://dapritchard.r-universe.dev", "Date/Publication": "2017-09-30 01:20:26 UTC", "RemoteUrl": "https://github.com/dapritchard/pepsavims", "RemoteRef": "HEAD", "RemoteSha": "c37a0b2202c9aa0a7b686b24b99fce6b38c723f4", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-15 05:52:56 UTC", "User": "root" }, "Author": "Pritchard David [aut, cre],\nKirkpatrick Christine [aut]", "Maintainer": "Pritchard David ", "MD5sum": 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