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<strong>Welcome to TAXA-KG</strong>
<strong>Welcome to TAXA-KG</strong>
</div><strong>a Wikibase instance that aims to get the community together and describe novel TAXA.</strong><div style="text-align:left;"><strong>More information will follow soon!</strong></div></div></div>
</div><strong>a Wikibase instance that aims to get the community together and describe novel TAXA.</strong><div style="text-align:left;"><strong>More information will follow soon!</strong></div></div></div>


<strong>This is the second and updated version of [https://taxa-kg-v2.wikibase.cloud/wiki/Main_Page TAXA-KG-wikibase-v2]</strong>
<strong>This is the second and updated version of [https://taxa-kg-v2.wikibase.cloud/wiki/Main_Page TAXA-KG-wikibase-v2]</strong>
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<strong>TAXA will fill this gap. The idea behind it is to use the published bioinformatic tool Protologger to provide standardized functional and taxonomic readouts of novel taxa using genome sequences, which will provide the building blocks for the community to describe them. This information will be provided to the community via a custom Wiki, allowing members of the community to contribute by converting the building blocks we provide into fully formed taxonomic descriptions. This tackles the problem of ambiguous naming practices in the process of validly describing novel species. Via the Wiki, researchers will be able to identify interesting and relevant bacteria to their research question at a glance.</strong>
<strong>TAXA will fill this gap. The idea behind it is to use the published bioinformatic tool Protologger to provide standardized functional and taxonomic readouts of novel taxa using genome sequences, which will provide the building blocks for the community to describe them. This information will be provided to the community via a custom Wiki, allowing members of the community to contribute by converting the building blocks we provide into fully formed taxonomic descriptions. This tackles the problem of ambiguous naming practices in the process of validly describing novel species. Via the Wiki, researchers will be able to identify interesting and relevant bacteria to their research question at a glance.</strong>




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<strong>More information about **Protologger** [https://protologger.bi.denbi.de/ https://protologger.bi.denbi.de]</strong>
<strong>More information about **Protologger** [https://protologger.bi.denbi.de/ https://protologger.bi.denbi.de]</strong>


<strong>How to get in contact:</strong>
<strong>How to get in contact:</strong>

Revision as of 09:49, 1 July 2026

Welcome to TAXA-KG

a Wikibase instance that aims to get the community together and describe novel TAXA.
More information will follow soon!

This is the second and updated version of TAXA-KG-wikibase-v2

Descriptions of novel taxonomic lineages

Short description

A substantial fraction of bacteria are unknown and undescribed, but as genomes exist for these unknown taxa, it is possible to describe them using genome-inferred information. However, the description of novel taxa currently lacks standardized formats and there is limited quality assurance during this process.

TAXA will fill this gap. The idea behind it is to use the published bioinformatic tool Protologger to provide standardized functional and taxonomic readouts of novel taxa using genome sequences, which will provide the building blocks for the community to describe them. This information will be provided to the community via a custom Wiki, allowing members of the community to contribute by converting the building blocks we provide into fully formed taxonomic descriptions. This tackles the problem of ambiguous naming practices in the process of validly describing novel species. Via the Wiki, researchers will be able to identify interesting and relevant bacteria to their research question at a glance.


More information about **TAXA** https://nfdi4microbiota.de/usecases/taxa

More information about **MicroBioKGs** https://nfdi4microbiota.de/usecases/microbiokgs

More information about **Protologger** https://protologger.bi.denbi.de

How to get in contact:

Data Modelling, Knowledge Graphs: Vanessa Scharf (scharf@zbmed.de)

Data Curation, Protologger: Thomas Hitch (thitch@ukaachen.de)