RED: A Java-MySQL Software for Identifying and Visualizing RNA Editing Sites Using Rule-Based and Statistical Filters.

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Title: RED: A Java-MySQL Software for Identifying and Visualizing RNA Editing Sites Using Rule-Based and Statistical Filters.
Authors: Sun Y; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China., Li X; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China., Wu D; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China., Pan Q; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China., Ji Y; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China., Ren H; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China., Ding K; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Source: PloS one [PLoS One] 2016 Mar 01; Vol. 11 (3), pp. e0150465. Date of Electronic Publication: 2016 Mar 01 (Print Publication: 2016).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: RED: A Java-MySQL Software for Identifying and Visualizing RNA Editing Sites Using Rule-Based and Statistical Filters.
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  Data: <searchLink fieldCode="AU" term="%22Sun+Y%22">Sun Y</searchLink>; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Wu+D%22">Wu D</searchLink>; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Pan+Q%22">Pan Q</searchLink>; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Ji+Y%22">Ji Y</searchLink>; School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing, P. R. China.<br /><searchLink fieldCode="AU" term="%22Ren+H%22">Ren H</searchLink>; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Ding+K%22">Ding K</searchLink>; Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China.
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