{ "_id": "6aae42853d719c1f8407a4f0", "Package": "XINA", "Type": "Package", "Title": "Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network\nAnalysis", "Version": "1.30.0", "biocViews": "SystemsBiology, Proteomics, RNASeq, Network", "Author": "Lang Ho Lee and Sasha A. Singh\n", "Maintainer": "Lang Ho Lee and Sasha A. Singh\n", "Authors@R": "c(person(\"Lang Ho\", \"Lee\", email=\"lhlee@bwh.harvard.edu\", \nrole = c(\"aut\", \"cre\")),\nperson(\"Sasha\", \"Singh\", email=\"sasingh@bwh.harvard.edu\",\nrole = c(\"aut\")))", "Description": "The aim of XINA is to determine which proteins exhibit\nsimilar patterns within and across experimental conditions,\nsince proteins with co-abundance patterns may have common\nmolecular functions. XINA imports multiple datasets, tags\ndataset in silico, and combines the data for subsequent\nsubgrouping into multiple clusters. The result is a single\noutput depicting the variation across all conditions. XINA, not\nonly extracts coabundance profiles within and across\nexperiments, but also incorporates protein-protein interaction\ndatabases and integrative resources such as KEGG to infer\ninteractors and molecular functions, respectively, and produces\nintuitive graphical outputs.", "Copyright": "XINA combines multiple quantitative (kinetics) datasets from\nomics studies into a single input dataset for clustering.\nCopyright(C)2018 Lang Ho Lee, Arda Halu, Stephanie Morgan,\nHiroshi Iwata, Masanori Aikawa, and Sasha A. Singh This program\nis free software: you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published\nby the Free Software Foundation, either version 3 of the\nLicense, any later version. This program is distributed in the\nhope that it will be useful, but WITHOUT ANY WARRANTY; without\neven the implied warranty of MERCHANTABILITY or FITNESS FOR A\nPARTICULAR PURPOSE. See the GNU General Public License for more\ndetails. 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