Mutalyzer
Mutalyzer converts pairwise DNA sequence differences into standardized HGVS variant descriptions for unambiguous reporting and database curation.
Key Features:
- Efficient algorithm for HGVS description extraction: A highly efficient algorithm extracts HGVS descriptions from two sequences while minimizing description length, reducing computation time, and maintaining biological meaningfulness and unambiguity.
- Scalability: Computes HGVS descriptions for extensive DNA sequences, including complete chromosomes and other large genomic regions.
- Gene variant database updates: Produces accurate and standardized HGVS descriptions suitable for updating gene variant databases.
- Reference sequence liftovers: Supports reference sequence liftovers to maintain consistent variant nomenclature across genome builds or versions.
Scientific Applications:
- Clinical diagnostics: Provides unambiguous HGVS nomenclature to enhance accuracy of DNA test result reporting in clinical diagnostics.
- Genetic research: Enables reliable updating of gene variant databases to maintain data integrity across studies.
- Genomic data management: Assists reference sequence liftovers when transitioning between genome builds.
Methodology:
Mutalyzer compares two sequences using an algorithm that extracts HGVS descriptions and optimizes for minimal description length, reduced computation time, and biological meaningfulness/unambiguity; it can process extensive DNA sequences including complete chromosomes.
Topics
Collections
Details
- License:
- CC-BY-4.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, web application
- Operating Systems:
- Linux
- Programming Languages:
- C++, Python
- Added:
- 3/5/2017
- Last Updated:
- 6/16/2020
Operations
Publications
Vis JK, Vermaat M, Taschner PEM, Kok JN, Laros JFJ. An efficient algorithm for the extraction of HGVS variant descriptions from sequences. Bioinformatics. 2015;31(23):3751-3757. doi:10.1093/bioinformatics/btv443. PMID:26231427.
PMID: 26231427
Documentation
General
https://mutalyzer.nl/Downloads
- Source codehttps://github.com/mutalyzer/mutalyzer