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.

PMID: 26573684
PMCID: PMC4647709
Funding: - National Nature Science Foundation of China: 61173085, 61571152, 81402054 - National High-Tech Research and Development Program (863) of China: 2012AA020409, 2012AA02A601, 2012AA02A604, 2012AA02A616 - Hong Kong GRF: HKU 7111/12E, HKU 719611E, HKU 719709E - Shenzhen Basic Research Project: JCYJ20120618143038947 - Outstanding Researcher Award: 102009124 - Heilongjiang Province and China Postdoctoral Projects: 2014M560272, LBH-Z14138 - Natural Science Foundation of Heilongjiang Province: 41400298-9-15057 - Natural Science Foundation of Heilongjiang Province (CN): F201214 - Scientific Research Fund of Heilongjiang Provincial Education Department: 12541240

Documentation

Links