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