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10.1016/j.tibs.2017.01.001 http://scihub22266oqcxt.onion/10.1016/j.tibs.2017.01.001 C5414595!5414595!28118949     free     free     free       Trends+Biochem+Sci 2017 ; 42 (5): 333-41 Nephropedia Template TP {{tp|p=28118949|t=2017. A Golden Age for Working with Public Proteomics Data |pdf=|usr=}}{{28118949}} gab.com Text A Golden Age for Working with Public Proteomics Data JO: Trends Biochem Sci http://www.kidney.de/pget.php?&tw=1&pmid=28118949 #FOAvip Data sharing in mass spectrometry (MS)-based proteomics is becoming a common scientific practice, as is now common in the case of other, more mature ?omics? disciplines like genomics and transcriptomics. We want to highlight that this situation, unprecedented in the field, opens a plethora of opportunities for data scientists. First, we explain in some detail some of the work already achieved, such as systematic reanalysis efforts. We also explain existing applications of public proteomics data, such as proteogenomics and the creation of spectral libraries and spectral archives. Finally, we discuss the main existing challenges and mention the first attempts to combine public proteomics data with other types of omics data sets. Twit Text FOAVip A Golden Age for Working with Public Proteomics Data ????Trends Biochem Sci http://www.kidney.de/pget.php?&tw=1&pmid=28118949 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28118949 #FOAvip English Wikipedia <ref>{{Cite pmid|28118949}}</ref> A Golden Age for Working with Public Proteomics Data #MMPMID28118949 Martens L; Vizcaíno JA Trends Biochem Sci 2017[May]; 42 (5): 333-41 PMID28118949show ga Data sharing in mass spectrometry (MS)-based proteomics is becoming a common scientific practice, as is now common in the case of other, more mature ?omics? disciplines like genomics and transcriptomics. We want to highlight that this situation, unprecedented in the field, opens a plethora of opportunities for data scientists. First, we explain in some detail some of the work already achieved, such as systematic reanalysis efforts. We also explain existing applications of public proteomics data, such as proteogenomics and the creation of spectral libraries and spectral archives. Finally, we discuss the main existing challenges and mention the first attempts to combine public proteomics data with other types of omics data sets. äA Golden Age for Working with Public Proteomics Data (epmc).pdf DeepDyve Pubget Overpricing