AGE

AGE performs alignment of sequences containing structural variations to determine single-nucleotide breakpoints and support reconstruction of variant-aware genome sequences.


Key Features:

  • Optimal Alignment Algorithm: Implements a dynamic-programming algorithm specifically tailored to align sequences containing structural variations.
  • Gap Excision Technique: Performs large-gap jumps between precisely aligned flanking ends to represent insertions, deletions, duplications, inversions, and complex multi-gap events.
  • End-to-End Alignment: Simultaneously aligns both the 5' and 3' ends of sequences to maximize the total alignment score across regions containing SVs.
  • Memory Efficiency: Designed for memory efficiency to handle alignment of long contigs.
  • Extensibility: Supports extensions for tandem duplications, inversions, and complex events involving two large gaps.

Scientific Applications:

  • Breakpoint Determination: Determines breakpoints at single-nucleotide resolution to enable classification and functional impact assessment of structural variations.
  • Genome Reconstruction: Aids reconstruction of personal genome sequences by providing alignments that account for structural variations.
  • Standardization Efforts: Has been applied to align locally assembled contigs to the human reference genome in large-scale projects such as the 1000 Genomes Project to standardize breakpoint determination.

Methodology:

Formulates SV alignment as a computational problem solved by a dynamic-programming approach that simultaneously aligns sequence ends and introduces large-gap jumps to span structural-variation regions while maximizing alignment scores.

Topics

Details

License:
CC-BY-NC-4.0
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Added:
1/13/2017
Last Updated:
11/25/2024

Operations

Publications

Abyzov A, Gerstein M. AGE: defining breakpoints of genomic structural variants at single-nucleotide resolution, through optimal alignments with gap excision. Bioinformatics. 2011;27(5):595-603. doi:10.1093/bioinformatics/btq713. PMID:21233167. PMCID:PMC3042181.

Documentation