{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,4]],"date-time":"2025-01-04T05:27:29Z","timestamp":1735968449159,"version":"3.32.0"},"reference-count":30,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2018,6,1]],"date-time":"2018-06-01T00:00:00Z","timestamp":1527811200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61621003","61422309","61379092","11661141019"],"award-info":[{"award-number":["61621003","61422309","61379092","11661141019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Quant. Biol."],"published-print":{"date-parts":[[2018,6]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Module detection is widely used to analyze and visualize biological networks. A number of methods and tools have been developed to achieve it. Meanwhile, bipartite module detection is also very useful for mining and analyzing bipartite biological networks and a few methods have been developed for it. However, there is few user\u2010friendly toolkit for this task.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>To this end, we develop an online web toolkit BMTK, which implements seven existing methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>BMTK provide\ns a uniform operation platform and visualization function, standardizes input and output format, and improves algorithmic structure to enhance computing speed. We also apply this toolkit onto a drug\u2010target bipartite network to demonstrate its effectiveness.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>BMTK will be a powerful tool for detecting bipartite modules in diverse bipartite biological networks.<\/jats:p><jats:p>Availability: The web application is freely accessible at the website of Zhang lab.<\/jats:p><\/jats:sec>","DOI":"10.1007\/s40484-018-0132-y","type":"journal-article","created":{"date-parts":[[2018,5,7]],"date-time":"2018-05-07T03:37:50Z","timestamp":1525664270000},"page":"186-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["BMTK: a toolkit for determining modules in biological bipartite networks"],"prefix":"10.1002","volume":"6","author":[{"given":"Bei","family":"Wang","sequence":"first","affiliation":[{"name":"NCMIS, CEMS, RCSDS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China"}]},{"given":"Jinyu","family":"Chen","sequence":"additional","affiliation":[{"name":"NCMIS, CEMS, RCSDS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 China"}]},{"given":"Shihua","family":"Zhang","sequence":"additional","affiliation":[{"name":"NCMIS, CEMS, RCSDS Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing 100049 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