{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T12:33:05Z","timestamp":1761741185742,"version":"build-2065373602"},"reference-count":8,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T00:00:00Z","timestamp":1761696000000},"content-version":"vor","delay-in-days":301,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008732","name":"The Uehara Memorial Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008732","id-type":"DOI","asserted-by":"publisher"}]},{"name":"OU Master Plan Implementation Project"},{"name":"World Premier International Research Center Initiative (WPI), MEXT, Japan"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,1,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Here, we introduce SEND (Share Easily bioiNformatics Data), a suite of tools that allow users to share heterogeneous and linked biological data, in an easy and highly customizable way. The code for SEND is freely available on GitHub (https:\/\/github.com\/targetmine). Also, docker images of all different components of the system are directly available for download from DockerHub (https:\/\/hub.docker.com\/search?q=rallendes; contact: Rodolfo S. Allendes Osorio, rodolfo.allendes.prime@osaka-u.ac.jp; Kenji Mizuguchi, kenji@protein.osaka-u.ac.jp). Links to additional figures\/data available on a web site, or references to online-only supplementary data available at the journal\u2019s web site.<\/jats:p>","DOI":"10.1093\/database\/baaf068","type":"journal-article","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T12:26:44Z","timestamp":1760531204000},"source":"Crossref","is-referenced-by-count":0,"title":["SEND: a suite of tools for the easy sharing of linked biological data"],"prefix":"10.1093","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9627-9338","authenticated-orcid":false,"given":"Rodolfo S","family":"Allendes\u00a0Osorio","sequence":"first","affiliation":[{"name":"Premium Research Institute for Human Metaverse Medicine (WPI-PRIMe), The University of Osaka , 2-2 Yamadaoka, Suita-shi, Osaka 565-0871 ,","place":["Japan"]},{"name":"AI Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition , 3-17 Senrioka-Shinmachi, Settsu-shi, 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