Bioinformatics

CosmosID is the top performer in Janssen's Mosaic Strain Challenge and precisionFDA's CFSAN Pathogen Detection Challenge

CosmosID is the top performer in Janssen's Mosaic Strain Challenge and precisionFDA's CFSAN Pathogen Detection Challenge

Source: PRnewswire

Rockville, MDCosmosID a bioinformatics provider and NGS service laboratory announced that the company’s cloud-based bioinformatics platform for microbiome analysis has received the highest score in the strain-level microbial profiling category of the Mosaic Community Challenge and for strain-level microbial identification in the precisionFDA Pathogen Detection Challenge. 


The Mosaic Community Challenge: Strains #1 is the first of three Mosaic Community Challenges  powered by DNAnexus, which is sponsored by Janssen Research & Development, LLC through its Janssen Human Microbiome Institute. The challenge aims to benchmark and improve computational methods in strain-level microbiome characterization. CosmosID bioinformatics received the highest score in microbiome profiling.
 
CosmosID also participated in the precisionFDA CFSAN Pathogen Detection Challenge, also powered by DNAnexus, and again took the lead in strain identification by correctly identifying the highest number of culture negative and spiked-in samples and overall outperforming other contenders in strain-level detection and identification of microbes in metagenomic samples. This challenge was organized by the Food and Drug Administration Center for Food Safety and Applied Nutrition (FDA CFSAN) to help improve bioinformatics pipelines for detecting pathogens in samples sequenced using metagenomics.

Extensive Academic Study shows CosmosID's “Best in Class Accuracy” and “Unrivaled Detection Resolution”

Extensive Academic Study shows CosmosID's “Best in Class Accuracy” and “Unrivaled Detection Resolution”

The fast-growing field of metagenomics enables rapid identification and unbiased characterization of the microbial communities associated with different biological specimens, based on high-throughput DNA sequencing coupled with robust bioinformatics. While all steps of this multistep process (sample collection to data analysis) are important in achieving high identification accuracy and maintaining the proper biological representativeness of the community, bioinformatic analysis of complex metagenomic datasets represents one of the most critical and challenging steps.