Ecosyste.ms: Packages
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conda-forge.org : tiara
Deep-learning-based approach for identification of eukaryotic sequences in the metagenomic data powered by PyTorch. The sequences are classified in two stages: In the first stage, the sequences are classified to classes: archaea, bacteria, prokarya, eukarya, organelle and unknown. In the second stage, the sequences labeled as organelle in the first stage are classified to either mitochondria, plastid or unknown. For more information, please refer to our paper: Tiara: Deep learning-based classification system for eukaryotic sequences. (DOI: https://doi.org/10.1093/bioinformatics/btab672)
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purl: pkg:conda/tiara
Keywords: bioinformatics, classification, eukaryotes, machine-learning, metagenomics, organelle
License: MIT
Latest release: over 1 year ago
First release: over 1 year ago
Stars: 30 on GitHub
Forks: 5 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 4 days ago