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.