Sep 25, 2015

One Codex: A Sensitive and Accurate Data Platform for Genomic Microbial Identification

BioRxiv : the Preprint Server for Biology
Samuel S MinotNicholas B Greenfield

Abstract

High-throughput sequencing (HTS) is increasingly being used for broad applications of microbial characterization, such as microbial ecology, clinical diagnosis, and outbreak epidemiology. However, the analytical task of comparing short sequence reads against the known diversity of microbial life has proved to be computationally challenging. The One Codex data platform was created with the dual goals of analyzing microbial data against the largest possible collection of microbial reference genomes, as well as presenting those results in a format that is consumable by applied end-users. One Codex identifies microbial sequences using a "k-mer based" taxonomic classification algorithm through a web-based data platform, using a reference database that currently includes approximately 40,000 bacterial, viral, fungal, and protozoan genomes. In order to evaluate whether this classification method and associated database provided quantitatively different performance for microbial identification, we created a large and diverse evaluation dataset containing 50 million reads from 10,639 genomes, as well as sequences from six organisms novel species not be included in the reference databases of any of the tested classifiers. Quantitative ev...Continue Reading

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Mentioned in this Paper

Classification
Genome
Evaluation
Genomics
Sequencing
Microbial
Fungi
Epidemiology
Species
High-Throughput RNA Sequencing

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