DL-TODA: A Deep Learning Tool for Omics Data Analysis.

ABSTRACT: Metagenomics is a technique for genome-wide profiling of microbiomes; this technique generates billions of DNA sequences called reads. Given the multiplication of metagenomic projects, computational tools are necessary to enable the efficient and accurate classification of metagenomic reads without needing to construct a reference database. The program DL-TODA presented here aims to classify metagenomic reads using a deep learning model trained on over 3000 bacterial species. A convolutional neural network architecture originally designed for computer vision was applied for the modeling of species-specific features. Using synthetic testing data simulated with 2454 genomes from 639 species, DL-TODA was shown to classify nearly 75% of the reads with high confidence. The classification accura

SUBMITTER: Cres CM 

PROVIDER: S-EPMC10135919 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature