{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T13:40:47Z","timestamp":1783086047179,"version":"3.54.6"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2018,8,23]],"date-time":"2018-08-23T00:00:00Z","timestamp":1534982400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2017YFA0505002"],"award-info":[{"award-number":["2017YFA0505002"]}]},{"name":"National Key Research and Development Program of China","award":["2017YFC0906602"],"award-info":[{"award-number":["2017YFC0906602"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["21605159"],"award-info":[{"award-number":["21605159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["21475150"],"award-info":[{"award-number":["21475150"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Summary<\/jats:title>\n                    <jats:p>As the experiment techniques and strategies in quantitative proteomics are improving rapidly, the corresponding algorithms and tools for protein quantification with high accuracy and precision are continuously required to be proposed. Here, we present a comprehensive and flexible tool named PANDA for proteomics data quantification. PANDA, which supports both label-free and labeled quantifications, is compatible with existing peptide identification tools and pipelines with considerable flexibility. Compared with MaxQuant on several complex datasets, PANDA was proved to be more accurate and precise with less computation time. Additionally, PANDA is an easy-to-use desktop application tool with user-friendly interfaces.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>PANDA is freely available for download at https:\/\/sourceforge.net\/projects\/panda-tools\/.<\/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\/bty727","type":"journal-article","created":{"date-parts":[[2018,8,22]],"date-time":"2018-08-22T15:19:20Z","timestamp":1534951160000},"page":"898-900","source":"Crossref","is-referenced-by-count":30,"title":["PANDA: A comprehensive and flexible tool for quantitative proteomics data analysis"],"prefix":"10.1093","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0361-2438","authenticated-orcid":false,"given":"Cheng","family":"Chang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mansheng","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chaoping","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Human Computer Interactions, Institute of Software Chinese, Academy of Sciences, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Ding","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Human Computer Interactions, Institute of Software Chinese, Academy of Sciences, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaikun","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingfei","family":"Han","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuchu","family":"He","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunping","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Lifeomics, National Center for Protein Sciences (Beijing), Beijing, Peoples Republic of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2018,8,23]]},"reference":[{"key":"2023013107250738400_bty727-B1","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1074\/mcp.M112.017178","article-title":"Precision, proteome coverage, and dynamic range of Arabidopsis proteome profiling using (15)N metabolic labeling and label-free approaches","volume":"11","author":"Arsova","year":"2012","journal-title":"Mol. 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