jdispatcher-viewers: interactive visualizations of sequence similarity search results and domain predictions
The jdispatcher-viewers library and documentation which includes a demo webpage are available from https://github.com/ebi-jdispatcher/jdispatcher-viewers. Interactive visualizations provided among the result pages of sequence similarity search tools in Job Dispatcher have been implemented using jdispatcher-viewers, and are available at https://www.ebi.ac.uk/jdispatcher/sss. The library is distributed under the Apache 2.0 license.
Authors
- Nandana Madhusoodanan (ORCID: https://orcid.org/0000-0001-5004-152X)
- Sarah Butcher (ORCID: https://orcid.org/0000-0002-4494-5124)
- Fábio Madeira (ORCID: https://orcid.org/0000-0001-8728-9449)
- Ania Niewielska (ORCID: https://orcid.org/0000-0003-0989-3389)
- Alberto Eusebi (ORCID: https://orcid.org/0000-0001-5179-7724)
- Joon Lee (ORCID: https://orcid.org/0000-0002-5760-2761)
Institutions
- European Bioinformatics Institute (GB)
- Bioinformatics Institute (RU)
- Wellcome Trust (GB)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf122
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Bioinformatics Institute
- European Commission