FlexTaxD

FlexTaxD enables creation, modification, and merging of taxonomy databases to improve sequence read classification accuracy and precision for metagenomic analyses.


Key Features:

  • Database creation: Creates taxonomy databases for metagenomic classification workflows.
  • Database modification: Modifies existing taxonomy databases to update or refine taxonomic entries.
  • Database merging: Merges diverse taxonomy sources into unified databases.
  • Source integration: Integrates official taxonomic sources such as QIIME, GTDB, and NCBI.
  • Custom dataset support: Allows inclusion of custom databases and datasets alongside official sources.
  • Output compatibility: Produces databases compatible with classification tools Kraken2 and GANON.
  • Classification improvement: Aims to improve the accuracy and precision of sequence read classification.
  • Support for existing methods: Enables development of improved reference databases for existing bioinformatics methods.

Scientific Applications:

  • Metagenomic taxonomic profiling: Improves taxonomic identification in metagenomics projects requiring precise classification.
  • Reference database construction: Builds comprehensive reference databases for use with Kraken2 and GANON.
  • Classifier performance enhancement: Supports improving and benchmarking the performance of sequence classification tools.

Methodology:

Performs systematic database modification and merging by integrating official taxonomic sources (QIIME, GTDB, NCBI) and custom datasets to produce unified taxonomy databases.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
3/3/2022
Last Updated:
3/3/2022

Operations

Publications

Sundell D, Öhrman C, Svensson D, Karlsson E, Brindefalk B, Myrtennäs K, Ahlinder J, Antwerpen MH, Walter MC, Forsman M, Stenberg P, Sjödin A. FlexTaxD: flexible modification of taxonomy databases for improved sequence classification. Bioinformatics. 2021;37(21):3932-3933. doi:10.1093/bioinformatics/btab621. PMID:34469515.

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