{ "_id": "6a1018c8acfb0bcc41c85b1f", "Package": "MGMS2", "Title": "'MGMS2' for Polymicrobial Samples", "Version": "1.0.2", "Authors@R": "c(\nperson(given = \"So Young\",\nfamily = \"Ryu\",\nrole = \"aut\",\nemail = \"soyoungr@unr.edu\",\ncomment = c(ORCID = \"0000-0003-2347-7015\")),\nperson(given = \"George\",\nfamily = \"Wendt\",\nrole = \"cre\",\nemail = \"gwendt@unr.edu\",\ncomment = c(ORCID = \"0000-0003-3608-9601\")))", "Author": "So Young Ryu [aut] (),\nGeorge Wendt [cre] ()", "Maintainer": "George Wendt ", "Description": "A glycolipid mass spectrometry technology has the\npotential to accurately identify individual bacterial species\nfrom polymicrobial samples. To develop bacterial identification\nalgorithms (e.g. machine learning) using this glycolipid\ntechnology, it is necessary to generate a large number of\nvarious in-silico polymicrobial mass spectra that are similar\nto real mass spectra. 'MGMS2' (Membrane Glycolipid Mass\nSpectrum Simulator) generates such in-silico mass spectra,\nconsidering errors in m/z (mass-to-charge ratio) and variances\nof intensity values, occasions of missing signature ions, and\nnoise peaks. It estimates summary statistics of monomicrobial\nmass spectra for each strain or species and simulates\npolymicrobial glycolipid mass spectra using the summary\nstatistics of monomicrobial mass spectra. References: Ryu,\nS.Y., Wendt, G.A., Chandler, C.E., Ernst, R.K. and Goodlett,\nD.R. (2019) \"Model-based\nSpectral Library Approach for Bacterial Identification via\nMembrane Glycolipids.\" Gibb, S. and Strimmer, K. (2012)\n \"MALDIquant: a versatile R\npackage for the analysis of mass spectrometry data.\"", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.0.2", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-14 19:39:33 UTC", "User": "root" }, "Config/pak/sysreqs": "libxml2-dev", "Repository": "https://cranhaven.r-universe.dev", "Date/Publication": "2026-05-14 12:02:00 UTC", "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev", "RemoteRef": "package/MGMS2", "RemoteSha": "5fdd93ace3421c5bae47b2a28e56db2e694b27eb", "RemoteSubdir": "MGMS2", "MD5sum": "2f6cbd85065c20b628ec5c14ba52ef35", "_user": "cranhaven", "_type": "src", "_file": "MGMS2_1.0.2.tar.gz", "_fileid": "f0cfe385348979a56a9bbc24a4168ad7c085785097f58aedc44da478aaa58278", "_filesize": 3602147, "_sha256": "f0cfe385348979a56a9bbc24a4168ad7c085785097f58aedc44da478aaa58278", "_created": "2026-05-14T19:39:33.000Z", "_published": "2026-05-22T08:50:16.624Z", "_distro": "noble", "_jobs": [ { "job": 77346949838, 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"windows-release", "r": "4.6.0", "check": "OK", "artifact": "7003220290" } ], "_buildurl": "https://github.com/r-universe/cranhaven/actions/runs/25881287421", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cranhaven/cranhaven.r-universe.dev", "_commit": { "id": "5fdd93ace3421c5bae47b2a28e56db2e694b27eb", "author": "GitHub Action ", "committer": "GitHub Action ", "message": "Add MGMS2 to CRANhaven, because archived on 2026-05-14 12:02:00 +0000\n", "time": 1778760120 }, "_maintainer": { "name": "George Wendt", "email": "gwendt@unr.edu", "orcid": "0000-0003-3608-9601" }, "_registered": true, "_dependencies": [ { "package": "MALDIquant", "role": "Depends" }, { "package": "MALDIquantForeign", "role": "Depends" }, { "package": "testthat", "role": "Suggests" } ], "_owner": "cranhaven", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-20", "n": 1 } ], "_tags": [], "_topics": [ "archived", "packages", "r-universe" ], "_stars": 5, 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"simulate_many_poly_spectra", "simulate_poly_spectra", "summarize_monospectra" ], "_help": [ { "page": "characterize_peak", "title": "characterize_peak", "topics": [ "characterize_peak" ] }, { "page": "create_insilico_mixture_template", "title": "create_insilico_mixture_template", "topics": [ "create_insilico_mixture_template" ] }, { "page": "filtermass", "title": "filtermass", "topics": [ "filtermass" ] }, { "page": "gather_summary", "title": "gather_summary", "topics": [ "gather_summary" ] }, { "page": "gather_summary_file", "title": "gather_summary_file", "topics": [ "gather_summary_file" ] }, { "page": "preprocessMS", "title": "preprocessMS", "topics": [ "preprocessMS" ] }, { "page": "process_monospectra", "title": "process_monospectra", "topics": [ "process_monospectra" ] }, { "page": "simulate_ind_spec_single", "title": "simulate_ind_spec_single", "topics": [ "simulate_ind_spec_single" ] }, { "page": "simulate_many_poly_spectra", "title": "simulate_many_poly_spectra", "topics": [ 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