{"title":"PRG.","authors":"P. Jagtap","doi":"10.1002/9783527678679.dg09917","DOIUrl":null,"url":null,"abstract":"The Proteomics Research Group initiated a study in 2018 to facilitate the adoption of data-independent acquisition (DIA) by providing participants with generic methods and test samples containing a HeLa digest spiked with different levels of four non-endogenous proteins. This resulted in the generation of 49 participant datasets submitted by laboratories across the world (20 countries and 16 states in the U.S.). The files from two laboratories were selected for further analysis using varied library approaches. The data (which will be made available via MassIVE) can be used by software developers or experts evaluating performance with different acquisition settings in addition to DIA newcomers to help them implement the technique in their laboratory.","PeriodicalId":94326,"journal":{"name":"Journal of biomolecular techniques : JBT","volume":"48 1","pages":"S39"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomolecular techniques : JBT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9783527678679.dg09917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Proteomics Research Group initiated a study in 2018 to facilitate the adoption of data-independent acquisition (DIA) by providing participants with generic methods and test samples containing a HeLa digest spiked with different levels of four non-endogenous proteins. This resulted in the generation of 49 participant datasets submitted by laboratories across the world (20 countries and 16 states in the U.S.). The files from two laboratories were selected for further analysis using varied library approaches. The data (which will be made available via MassIVE) can be used by software developers or experts evaluating performance with different acquisition settings in addition to DIA newcomers to help them implement the technique in their laboratory.