fastv

fastv detects microbial sequences and types viruses and microorganisms by applying k-mer-based mapping and extension to sequencing data for rapid identification from short-read (Illumina, BGI) and long-read (ONT, PacBio) platforms.


Key Features:

  • K-mer mapping and extension: fastv uses k-mer mapping and extension to rapidly detect microbial sequences in sequencing data.
  • UniqueKMER integration: Includes UniqueKMER to generate complete sets of unique k-mers per genome and provides pre-generated unique k-mer sets for numerous human-affecting microorganisms and common viruses.
  • Pre-processing: Automatically performs adapter trimming, quality pruning, and base correction prior to k-mer analysis.
  • Sequencing platform support: Supports short-read sequencing (Illumina, BGI) and long-read sequencing (ONT, PacBio).
  • Output and visualization: Produces microbial genome coverage visualization and outputs results in HTML and JSON formats.
  • SARS-CoV-2 identification and typing: Provides built-in SARS-CoV-2 identification and typing with reported 100% sensitivity and specificity in experimental validation distinguishing it from SARS and MERS.

Scientific Applications:

  • Rapid microbial identification: Rapid detection and characterization of viruses and microorganisms from sequencing data.
  • Viral outbreak investigations: Application in investigations of viral outbreaks using sequencing-derived detections.
  • Pathogen surveillance: Use in surveillance programs to monitor presence and types of pathogens.
  • Microbiome analyses: Application to microbiome studies using both short-read and long-read sequencing data.
  • SARS-CoV-2 monitoring and typing: Use in COVID-19 monitoring and typing workflows leveraging high reported sensitivity and specificity.

Methodology:

fastv applies adapter trimming, quality pruning, and base correction, then performs k-mer mapping and extension using UniqueKMER-generated unique k-mers for microbial identification.

Topics

Collections

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
C++, C
Added:
1/18/2021
Last Updated:
3/10/2021

Operations

Publications

Chen S, He C, Li Y, Li Z, Melançon CE. A Computational Toolset for Rapid Identification of SARS-CoV-2, other Viruses, and Microorganisms from Sequencing Data. Unknown Journal. 2020. doi:10.1101/2020.05.12.092163.