Bubbleparse

Bubbleparse detects genetic variants directly from next-generation sequencing (NGS) reads without a reference genome by identifying bubbles in de Bruijn graphs implemented in the Cortex framework.

Key Features:

• Reference-Free Analysis: Operates without alignment to a reference genome to detect polymorphisms from raw NGS reads.
• De Bruijn Graph Utilization: Represents sequencing data as de Bruijn graphs and identifies bubbles that indicate single nucleotide polymorphisms (SNPs) and other variants.
• Sensitivity and Speed: Demonstrates high sensitivity in identifying polymorphisms, with comparative analyses on Arabidopsis thaliana data showing improved detection relative to alignment-based methods in certain contexts.
• Heuristic Optimization: Employs heuristic strategies to maximize the identification of true polymorphisms.

Scientific Applications:

• Marker Library Construction: Generates marker libraries for tracing genetic traits and mapping genotype–phenotype associations.
• Non-Model Organism Genomics: Enables variant discovery in organisms lacking well-annotated reference genomes.
• Agricultural Genomics and Breeding: Supports identification of variants relevant to crop improvement and breeding programs.
• Disease Resistance Gene Identification: Facilitates detection of genes linked to disease resistance, as demonstrated in analyses of unsequenced wild relatives of potato.

Methodology:

Constructs de Bruijn graphs from NGS reads within the Cortex framework, detects bubbles corresponding to polymorphisms, and applies heuristic strategies to maximize identification of true polymorphisms.