misFinder
misFinder identifies and corrects mis-assemblies in genome assemblies by integrating reference-genome comparison and paired-end read alignment to distinguish assembly errors from structural variations.
Key Features:
- Unbiased Error Identification: Integrates reference-genome comparison and aligned paired-end reads to distinguish mis-assemblies from true structural variations.
- High Accuracy in Error Detection: Leverages a reference genome (or closely related references) together with coverage data and insert-distance consistency features derived from paired-end reads to make high-confidence error calls.
- Reduction of False Positives/Negatives: Minimizes false positives and false negatives in mis-assembly detection to improve the reliability of downstream genomic analyses.
- Performance Superiority: Demonstrated superior detection of true mis-assemblies with fewer false calls than QUAST and REAPR on simulated and real paired-end read datasets.
Scientific Applications:
- Variant Detection: Improves accuracy of variant calling by correcting mis-assemblies that could confound variant detection.
- Gene Annotation: Supports reliable gene annotation by ensuring contiguous and correctly assembled gene loci.
- Comparative Genomics: Enables accurate comparative genomics by distinguishing structural variation from assembly artifacts.
Methodology:
Combines reference-genome comparison with paired-end read alignment and assesses coverage consistency and insert-distance features to identify and correct mis-assembled positions and to discriminate structural variations from assembly errors.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Zhu X, Leung HCM, Wang R, Chin FYL, Yiu SM, Quan G, Li Y, Zhang R, Jiang Q, Liu B, Dong Y, Zhou G, Wang Y. misFinder: identify mis-assemblies in an unbiased manner using reference and paired-end reads. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0818-3. PMID:26573684. PMCID:PMC4647709.