{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T22:40:42Z","timestamp":1787956842017,"version":"build-2784847793"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"7","license":[{"start":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T00:00:00Z","timestamp":1535587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"name":"National Cancer Institute Clinical Proteomic Tumor Analysis Consortium","award":["RR160027"],"award-info":[{"award-number":["RR160027"]}]},{"name":"National Cancer Institute Clinical Proteomic Tumor Analysis Consortium","award":["U24CA210954"],"award-info":[{"award-number":["U24CA210954"]}]},{"name":"Cancer Prevention and Research Institutes of Texas"},{"name":"McNair Medical Institute at The Robert and Janice McNair Foundation"},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2017YFC0908400"],"award-info":[{"award-number":["2017YFC0908400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>Data visualization plays critical roles in proteomics studies, ranging from quality control of MS\/MS data to validation of peptide identification results. Herein, we present PDV, an integrative proteomics data viewer that can be used to visualize a wide range of proteomics data, including database search results, de novo sequencing results, proteogenomics files, MS\/MS data in mzML\/mzXML format and data from public proteomics repositories. PDV is a lightweight visualization tool that enables intuitive and fast exploration of diverse, large-scale proteomics datasets on standard desktop computers in both graphical user interface and command line modes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>PDV software and the user manual are freely available at http:\/\/pdv.zhang-lab.org. The source code is available at https:\/\/github.com\/wenbostar\/PDV and is released under the GPL-3 license.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Supplementary information<\/jats:title>\n                    <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty770","type":"journal-article","created":{"date-parts":[[2018,8,30]],"date-time":"2018-08-30T01:23:28Z","timestamp":1535592208000},"page":"1249-1251","source":"Crossref","is-referenced-by-count":134,"title":["PDV: an integrative proteomics data viewer"],"prefix":"10.1093","volume":"35","author":[{"given":"Kai","family":"Li","sequence":"first","affiliation":[{"name":"BGI-Shenzhen, Shenzhen, China"},{"name":"China National GeneBank, BGI-Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Vaudel","sequence":"additional","affiliation":[{"name":"Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Norway"},{"name":"Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA"},{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Ren","sequence":"additional","affiliation":[{"name":"BGI-Shenzhen, Shenzhen, China"},{"name":"China National GeneBank, BGI-Shenzhen, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2261-3150","authenticated-orcid":false,"given":"Bo","family":"Wen","sequence":"additional","affiliation":[{"name":"Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA"},{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,8,30]]},"reference":[{"key":"2023013107275286600_bty770-B1","doi-asserted-by":"crossref","first-page":"2500","DOI":"10.1021\/acs.jproteome.6b00021","article-title":"BatMass: a Java software platform for LC-MS data visualization in proteomics and metabolomics","volume":"15","author":"Avtonomov","year":"2016","journal-title":"J. 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