Selected article for: "close rate and false positive"

Author: Alejandro A Schäffer; Eneida Hatcher; Linda Yankie; Lara Shonkwiler; J Rodney Brister; Ilene Karsch-Mizrachi; Eric P Nawrocki
Title: VADR: validation and annotation of virus sequence submissions to GenBank
  • Document date: 2019_11_22
  • ID: besvz92f_64
    Snippet: In summary, to allow for automatic processing of high quality virus sequences, VADR is designed to identify when sequences deviate from the closest RefSeq in various ways and construct informative alerts and output messages about those deviations. VADR catches all the problems that VAPiD and VIGOR catch and numerous other problems. Because of VADR's usage to check submissions, we can tolerate some false negatives, but the false positive rate shou.....
    Document: In summary, to allow for automatic processing of high quality virus sequences, VADR is designed to identify when sequences deviate from the closest RefSeq in various ways and construct informative alerts and output messages about those deviations. VADR catches all the problems that VAPiD and VIGOR catch and numerous other problems. Because of VADR's usage to check submissions, we can tolerate some false negatives, but the false positive rate should be as close to 0 as possible.

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