SEND: a suite of tools for the easy sharing of linked biological data

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, [email protected]; Kenji Mizuguchi, [email protected]). Links to additional figures/data available on a web site, or references to online-only supplementary data available at the journal's web site.

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Database
Published
2025-01-01
DOI
https://doi.org/10.1093/database/baaf068
Primary Topic
Bioinformatics and Genomic Networks
Type
article
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article

SEND: a suite of tools for the easy sharing of linked biological data

Yi-An Chen, Rodolfo S. Allendes Osorio, Kenji Mizuguchi
Database
Bioinformatics and Genomic Networks
article

SEND: a suite of tools for the easy sharing of linked biological data

Yi-An Chen, Rodolfo S. Allendes Osorio, Kenji Mizuguchi
article en

Abstract

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, [email protected]; Kenji Mizuguchi, [email protected]). Links to additional figures/data available on a web site, or references to online-only supplementary data available at the journal's web site.

DatabaseVol. 2025
National Institute of Biomedical Innovation, Health and Nutrition (JP), Protein Research Foundation (JP), The University of Osaka (JP)
Openalex Percentile: Top 72%
Bioinformatics and Genomic Networks
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