Antibody Watch: Text mining antibody specificity from the literature.

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Bibliographic Details
Title: Antibody Watch: Text mining antibody specificity from the literature.
Authors: Hsu CN; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Chang CH; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; Department of Computer Science and Information Engineering, National Central University, Zhongli, Taiwan., Poopradubsil T; Department of Computer Science and Information Engineering, National Central University, Zhongli, Taiwan., Lo A; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., William KA; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Lin KW; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Bandrowski A; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; SciCrunch, Inc. San Diego, California, United States of America., Ozyurt IB; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Grethe JS; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America., Martone ME; Department of Neurosciences and Center for Research in Biological Systems, University of California, San Diego, La Jolla, California, United States of America.; SciCrunch, Inc. San Diego, California, United States of America.
Source: PLoS computational biology [PLoS Comput Biol] 2021 May 27; Vol. 17 (5), pp. e1008967. Date of Electronic Publication: 2021 May 27 (Print Publication: 2021).
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1008967