Taxonomy: Libary for parsing, processing and vizualization of taxonomy data
Haskell cabal Taxonomy libary contains tools, parsers, datastructures and visualisation for the NCBI (National Center for Biotechnology Information) Taxonomy datasources.
It can utilize information from the Entrez REST interface via EntrezHTTP, as well as from the files of the Taxonomy database dump.
Input data is parsed into a FGL based datastructure, which enables a wealth of processing steps like node distances, retrieval of parent nodes or extraction of subtrees.
Trees can be visualised via dot-format (graphviz)
or via json-format (http://d3js.org/d3js).
The TaxonomyTools package contains tools based on this package.
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- Taxonomy-2.2.0.tar.gz [browse] (Cabal source package)
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| Versions [RSS] | 1.0.1, 1.0.2, 1.0.3, 2.0.0, 2.1.0, 2.2.0 |
|---|---|
| Change log | ChangeLog.md |
| Dependencies | aeson, base (>=4.5 && <5), bytestring, either-unwrap, fgl (>=5.5.4.0), graphviz, parsec, text, vector [details] |
| License | GPL-3.0-only |
| Author | Florian Eggenhofer |
| Maintainer | egg@informatik.uni-freiburg.de |
| Category | Bioinformatics |
| Source repo | head: git clone https://github.com/eggzilla/Taxonomy this: git clone https://github.com/eggzilla/Taxonomy/tree/v2.2.0(tag v2.2.0) |
| Uploaded | by FlorianEggenhofer at 2021-05-30T14:25:07Z |
| Distributions | |
| Reverse Dependencies | 3 direct, 0 indirect [details] |
| Downloads | 3975 total (16 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs available [build log] Last success reported on 2021-05-30 [all 1 reports] |
Readme for Taxonomy-2.2.0
[back to package description]Taxonomy 
Haskell cabal Taxonomy libary contains tools, parsers, datastructures and visualisation for the NCBI (National Center for Biotechnology Information) Taxonomy datasources.
It can utilize information from the Entrez REST interface (via EntrezHTTP, as well as from the files of the Taxonomy database dump.
Input data is parsed into a FGL based datastructure, which enables a wealth of processing steps like node distances, retrieval of parent nodes or extraction of subtrees.
Trees can be visualised via dot-format (graphviz) or via json-format (d3js).