AVADA: toward automated pathogenic variant evidence retrieval directly from the full-text literature.

Autor: Birgmeier J; Department of Computer Science, Stanford University, Stanford, CA, USA., Deisseroth CA; Department of Computer Science, Stanford University, Stanford, CA, USA., Hayward LE; Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA., Galhardo LMT; Department of Computer Science, Stanford University, Stanford, CA, USA., Tierno AP; Department of Computer Science, Stanford University, Stanford, CA, USA., Jagadeesh KA; Department of Computer Science, Stanford University, Stanford, CA, USA., Stenson PD; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK., Cooper DN; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK., Bernstein JA; Department of Pediatrics, Stanford School of Medicine, Stanford, CA, USA., Haeussler M; Santa Cruz Genomics Institute, MS CBSE, University of California Santa Cruz, Santa Cruz, CA, USA., Bejerano G; Department of Computer Science, Stanford University, Stanford, CA, USA. bejerano@stanford.edu.; Department of Pediatrics, Stanford School of Medicine, Stanford, CA, USA. bejerano@stanford.edu.; Department of Developmental Biology, Stanford University, Stanford, CA, USA. bejerano@stanford.edu.; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA. bejerano@stanford.edu.

Publikováno v: Genetics in medicine : official journal of the American College of Medical Genetics [Genet Med] 2020 Feb; Vol. 22 (2), pp. 362-370. Date of Electronic Publication: 2019 Aug 30.