StrainFLAIR

StrainFLAIR performs strain-level identification and quantification in metagenomic samples by mapping metagenomic reads to variation (pangenome) graphs built from clusters of reference genes.


Key Features:

  • Variation Graph Representation: Uses pangenome/variation graphs of gene clusters to represent multiple genomes and capture strain-level genetic variation.
  • Two-Step Process (Indexing and Query): Indexes clusters of reference genes into variation graphs using complete genomes, draft genomes, or metagenome-assembled genomes, then maps metagenomic reads to those graphs to infer strain-level abundances.
  • High Precision in Complex Environments: Distinguishes and estimates abundances of closely related strains within complex mixtures of bacterial species and strains.

Scientific Applications:

  • Strain-level abundance profiling: Resolves abundances of individual strains within metagenomic samples for detailed community composition analysis.
  • Characterization of unknown sequenced genomes: Compares unknown or newly sequenced genomes against graph-based references to identify strain membership and variation.
  • Microbiome–phenotype association studies: Supports investigations of associations between specific bacterial strains and phenotypic traits relevant to health and disease.

Methodology:

Indexes clusters of reference genes into variation (pangenome) graphs from complete genomes, draft genomes, or metagenome-assembled genomes, then maps metagenomic reads against these graphs to identify and quantify strain-level variations and abundances.

Topics

Details

License:
AGPL-3.0
Tool Type:
command-line tool, library
Programming Languages:
Python, Shell
Added:
3/19/2021
Last Updated:
4/10/2021

Operations

Publications

Da Silva K, Pons N, Berland M, Oñate FP, Almeida M, Peterlongo P. StrainFLAIR: Strain-level profiling of metagenomic samples using variation graphs. Unknown Journal. 2021. doi:10.1101/2021.02.12.430979.