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Caribou pipeline for the alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning

Description: This dataset contains sequencing data used to train the models of the Caribou pipeline. We developed this pipeline for alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning. The datasets were derived from the GTDB v.202 database (https://data.gtdb.ecogenomic.org/releases/release202/202.0/) and include training steps using the species representatives, as the benchmark datasets used non-representative whole genomes. We also simulated sequencing reads to evaluate and compare performance on whole genomes and sequencing reads. We provide models and encoding files of CNN-trained models; datasets used for training, validation and testing of models, randomly sampled from representative genomes; and datasets used for benchmarking the method against state-of-the-art methods, randomly sampled from non-representative whole genomes and simulated reads.
Notes: This data was used in Nicolas de Montigny's Master's degree thesis (https://archipel.uqam.ca/18182/)
Authors: de Montigny, Nicolas; University of Quebec at Montreal; ORCID iD 0000-0002-3708-4055
Steven W., Kembel; University of Quebec at Montreal; ORCID iD 0000-0001-5224-0952
Abdoulaye Baniré, Diallo; University of Quebec at Montreal
Keywords: metagenomics
alignment-free DNA classification
classification models
machine learning
neural networks
bacterial genomes
taxonomic classification
Field of Research: 
Computer and information sciences
>
Artificial intelligence (AI)
>
Machine learning
Publication Date: 2024-12-12
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
URI: https://doi.org/10.20383/103.01160
Related Identifiers: 
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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
de Montigny, N., Steven W., K., Abdoulaye Baniré, D. (2024). Caribou pipeline for the alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning. Federated Research Data Repository. https://doi.org/10.20383/103.01160