{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:31:46Z","timestamp":1740137506578,"version":"3.37.3"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","award":["HD056235"],"award-info":[{"award-number":["HD056235"]}],"id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Bioinform. Comput. Biol."],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:p>Reverse Phase Protein Arrays (RPPA) is a high-throughput technology used to profile levels of protein expression. Handling the large datasets generated by RPPA can be facilitated by appropriate software tools. Here, we describe RPPAware, a free and intuitive software suite that was developed specifically for analysis and visualization of RPPA data. RPPAware is a portable tool that requires no installation and was built using Java. Many modules of the tool invoke R to utilize the statistical features. To demonstrate the utility of RPPAware, data generated from screening brain regions of a mouse model of Down syndrome with 62 antibodies were used as a case study. The ease of use and efficiency of RPPAware can accelerate data analysis to facilitate biological discovery. RPPAware 1.0 is freely available under GNU General Public License from the project website at http:\/\/downsyndrome.ucdenver.edu\/iddrc\/rppaware\/home.htm along with a full documentation of the tool.<\/jats:p>","DOI":"10.1142\/s0219720018500014","type":"journal-article","created":{"date-parts":[[2018,1,15]],"date-time":"2018-01-15T09:43:40Z","timestamp":1516009420000},"page":"1850001","source":"Crossref","is-referenced-by-count":1,"title":["RPPAware: A software suite to preprocess, analyze and visualize reverse phase protein array data"],"prefix":"10.1142","volume":"16","author":[{"given":"A.","family":"Ranjitha Dhanasekaran","sequence":"first","affiliation":[{"name":"Rocky Mountain Alzheimer\u2019s Disease Center, School of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado 80045, USA"},{"name":"Department of Neurology, School of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado 80045, USA"},{"name":"Linda Crnic 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