{ "_id": "6a23e454530b9bc726be8630", "Package": "protag", "Title": "Search Tagged Peptides & Draw Highlighted Mass Spectra", "Version": "1.0.0", "Authors@R": "person(given = \"Bo\",\nfamily = \"Yuan\",\nrole = c(\"aut\", \"cre\"),\nemail = \"yuanbo.faith@gmail.com\")", "Description": "In a typical protein labelling procedure, proteins are\nchemically tagged with a functional group, usually at specific\nsites, then digested into peptides, which are then analyzed\nusing matrix-assisted laser desorption ionization - time of\nflight mass spectrometry (MALDI-TOF MS) to generate peptide\nfingerprint. Relative to the control, peptides that are heavier\nby the mass of the labelling group are informative for sequence\ndetermination. Searching for peptides with such mass shifts,\nhowever, can be difficult. This package, designed to tackle\nthis inconvenience, takes as input the mass list of two or\nmultiple MALDI-TOF MS mass lists, and makes pairwise\ncomparisons between the labeled groups vs. control, and\nrestores centroid mass spectra with highlighted peaks of\ninterest for easier visual examination. Particularly, peaks\ndifferentiated by the mass of the labelling group are defined\nas a “pair”, those with equal masses as a “match”, and all the\nother peaks as a “mismatch”.For more bioanalytical background\ninformation, refer to following publications: Jingjing Deng\n(2015) ; Elizabeth Chang\n(2016) .", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "6.1.1", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 09:06:54 UTC", "User": "root" }, "Author": "Bo Yuan [aut, cre]", "Maintainer": "Bo Yuan ", "Repository": "https://yuanbofaith.r-universe.dev", "Date/Publication": "2019-08-09 09:10:02 UTC", "RemoteUrl": "https://github.com/cran/protag", "RemoteRef": "HEAD", "RemoteSha": "e9f4f1430d3e00355c9462cc8dfc87e8f20ebe01", "MD5sum": "c20e7f5ae303ed23a6bf071ad7dde642", "_user": "yuanbofaith", "_type": "src", "_file": "protag_1.0.0.tar.gz", "_fileid": "ad98cb67408af3fc4f3e6c2b492687dd163448e1b24e421aa088e1b52cba18e5", "_filesize": 134217, "_sha256": "ad98cb67408af3fc4f3e6c2b492687dd163448e1b24e421aa088e1b52cba18e5", "_created": "2026-06-06T09:06:54.000Z", "_published": "2026-06-06T09:11:48.610Z", "_distro": "noble", "_jobs": [ { "job": 79866418085, "time": 134, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7453123721" }, { "job": 79866418091, "time": 126, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7453122624" }, { "job": 79866418084, "time": 199, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7453126548" }, { "job": 79866418082, "time": 145, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7453120848" }, { "job": 79866247404, "time": 181, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7453107482" }, { "job": 79866418074, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7453120499" }, { "job": 79866418106, "time": 93, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7453118726" }, { "job": 79866418094, "time": 100, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7453119336" }, { "job": 79866418103, "time": 263, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7453138190" } ], "_buildurl": "https://github.com/r-universe/yuanbofaith/actions/runs/27058161945", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/protag", "_commit": { "id": "e9f4f1430d3e00355c9462cc8dfc87e8f20ebe01", "author": "Bo Yuan ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1565341802 }, "_maintainer": { "name": "Bo Yuan", "email": "yuanbo.faith@gmail.com", "login": "yuanbofaith", "linkedin": "in/bo-yuan-amazing", "twitter": "@yuanbogeneral", "description": "Postdoc of Harvard University, Department of Molecular Metabolism ", "uuid": 53713651 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, 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