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The authors have developed GEView (Gene Expression View), which is a free, user-friendly tool harboring several existing algorithms and statistical methods for the analysis of high-throughput gene, microRNA or protein expression data. It can be used to perform basic analysis such as quality control, outlier detection, batch correction and differential expression analysis, through a single intuitive graphical user interface. GEView is unique in its simplicity and highly accessible visualization it provides. Together with its basic and intuitive functionality it allows Bio-Medical scientists with no computational skills to independently analyze and visualize high-throughput data produced in their own labs.<\/jats:p>","DOI":"10.4018\/ijkdb.2018010107","type":"journal-article","created":{"date-parts":[[2018,3,14]],"date-time":"2018-03-14T13:42:39Z","timestamp":1521034959000},"page":"94-105","source":"Crossref","is-referenced-by-count":0,"title":["GEView (Gene Expression View) Tool for Intuitive and High Accessible Visualization of Expression Data for Non-Programmer Biologists"],"prefix":"10.4018","volume":"8","author":[{"given":"Libi","family":"Hertzberg","sequence":"first","affiliation":[{"name":"Shalvata Mental Health Center, Affiliated to the Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel & Weizmann Institute of Science, Rehovot, Israel"}]},{"given":"Assif","family":"Yitzhaky","sequence":"additional","affiliation":[{"name":"Weizmann Institute of Science, Rehovot, Israel"}]},{"given":"Metsada","family":"Pasmanik-Chor","sequence":"additional","affiliation":[{"name":"Bioinformatics Unit, George S. 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