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VIVID: A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses.
Tichkule, Swapnil; Myung, Yoochan; Naung, Myo T; Ansell, Brendan R E; Guy, Andrew J; Srivastava, Namrata; Mehra, Somya; Cacciò, Simone M; Mueller, Ivo; Barry, Alyssa E; van Oosterhout, Cock; Pope, Bernard; Ascher, David B; Jex, Aaron R.
Affiliation
  • Tichkule S; Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.
  • Myung Y; Department of Medical Biology, University of Melbourne, Melbourne, Australia.
  • Naung MT; Systems and Computational Biology, Bio21 Institute, University of Melbourne, Melbourne, Australia.
  • Ansell BRE; Computational Biology and Clinical Informatics, Baker Heart and Diabetes, Melbourne, Australia.
  • Guy AJ; Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.
  • Srivastava N; Department of Medical Biology, University of Melbourne, Melbourne, Australia.
  • Mehra S; Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.
  • Cacciò SM; School of Science, RMIT University, Melbourne, Australia.
  • Mueller I; Department of Data Science and AI, Monash University, Melbourne, Australia.
  • Barry AE; Life Sciences Discipline, Burnet Institute, Melbourne, Australia.
  • van Oosterhout C; Department of Infectious Disease, Istituto Superiore di Sanità, Rome, Italy.
  • Pope B; Population Health and Immunity, Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia.
  • Ascher DB; Life Sciences Discipline, Burnet Institute, Melbourne, Australia.
  • Jex AR; Institute of Mental and Physical Health and Clinical Translation (IMPACT) and School of Medicine, Deakin University, Geelong, Australia.
Mol Biol Evol ; 39(9)2022 09 01.
Article in En | MEDLINE | ID: mdl-36103257
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Type of study: Prognostic_studies Language: En Journal: Mol Biol Evol Year: 2022 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Type of study: Prognostic_studies Language: En Journal: Mol Biol Evol Year: 2022 Document type: Article