MUMmer4

MUMmer4 performs rapid alignment of large DNA sequences to enable whole-genome and assembly comparisons at terabase-scale.


Key Features:

  • Enhanced Data Structure: Replaces the 32-bit suffix tree with a 48-bit suffix array, enabling handling of sequence lengths up to 141 terabase pairs (Tbp).
  • Parallel Processing: Uses parallel processing to improve alignment speed for large query sets.
  • Whole-Genome Alignment: Performs whole-genome sequence alignment for large-scale genomic comparisons.
  • Read-to-Reference Alignment: Aligns sequencing reads to reference genomes, with potentially lower sensitivity and accuracy than dedicated read aligners.
  • Assembly Comparison: Compares different assemblies of the same genome to identify concordant and discordant regions.
  • nucmer Program: Includes the nucmer alignment program for nucleotide-level alignments.

Scientific Applications:

  • Whole-genome comparison: Aligning whole genome sequences for comparative genomics and structural variation analysis.
  • Read mapping: Mapping sequencing reads to reference genomes for variant detection and assembly validation.
  • Assembly-to-assembly comparison: Comparing different assemblies of the same genome to assess assembly differences and improvements.
  • Comparative genomics example: Pairwise genome comparisons such as human versus chimpanzee, which have been reported as 98% identical across 96% of their length.

Methodology:

Implements a 48-bit suffix array in place of a 32-bit suffix tree, employs parallel processing for speed, and includes the nucmer alignment program.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
Shell, C++, Perl
Added:
10/17/2024
Last Updated:
10/17/2024

Operations

Publications

Marçais G, Delcher AL, Phillippy AM, Coston R, Salzberg SL, Zimin A. MUMmer4: A fast and versatile genome alignment system. PLOS Computational Biology. 2018;14(1):e1005944. doi:10.1371/journal.pcbi.1005944. PMID:29373581. PMCID:PMC5802927.

Funding: - National Institutes of Health: R01 GM083873 - Gordon and Betty Moore Foundation: GBMF4554 - National Science Foundation: ABR-PG-144893, IOS-1238231

Documentation