PLAST

PLAST performs local alignment searches of DNA sequence queries against graphical pangenomes to identify biologically meaningful homologous regions.


Key Features:

  • Graphical Pangenome Representation: PLAST uses compacted colored de Bruijn graphs to represent pangenomes, enabling low-memory, reference-free sequence comparisons.
  • Heuristic Alignment Methodology: It employs a seed-and-extend heuristic to traverse the sequence graph and identify maximum scoring local alignments, with outputs compatible with NCBI BLAST standard formats.
  • Statistical Filtering: PLAST applies an alignment statistic developed for sequence-to-graph alignments to filter biologically meaningful alignments and distinguish true homologs from spurious matches.
  • Performance and Scalability: The method scales sublinearly with respect to the number of genomes by exploiting sequence similarity within the pangenome.
  • Comparative Analysis: PLAST enables comparison of sequence similarity within the pangenome to assess homology and evolutionary relationships.

Scientific Applications:

  • Pangenomic Research: Facilitates comprehensive analysis of species genetic diversity by enabling local alignment searches across multiple genomes.
  • Genomic Comparisons: Supports reference-free comparisons to study genomic variation without relying on a single reference genome.
  • Evolutionary Studies: Aids inference of evolutionary relationships and sequence homology through local alignments within pangenomes.

Methodology:

PLAST uses compacted colored de Bruijn graphs and a seed-and-extend heuristic to traverse the sequence graph and find maximum scoring local alignments, applies an alignment statistic for sequence-to-graph alignment filtering, and emits outputs compatible with NCBI BLAST standard formats; the method scales sublinearly with the number of genomes.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Mac, Windows
Programming Languages:
C++
Added:
5/6/2021
Last Updated:
11/24/2024

Operations

Publications

Schulz T, Wittler R, Rahmann S, Hach F, Stoye J. Detecting high-scoring local alignments in pangenome graphs. Bioinformatics. 2021;37(16):2266-2274. doi:10.1093/bioinformatics/btab077. PMID:33532821. PMCID:PMC8388040.

PMID: 33532821
PMCID: PMC8388040
Funding: - German Network for Bioinformatics Infrastructure: 031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537B, 031A537C, 031A538A - Marie Skłodowska-Curie: 872539 - DFG: GRK 1906 - National Science and Engineering Council of Canada: RGPIN-05952 - Michael Smith Foundation for Health Research: SCH-2020-0370

Documentation

Links