TandemTools

TandemTools evaluates and improves assemblies of extra-long tandem repeats (ETRs) in eukaryotic genomes to enable accurate analysis of repetitive regions involved in processes such as chromosome segregation.


Key Features:

  • TandemMapper: Maps error-prone reads onto ETRs to produce accurate alignments within highly repetitive regions.
  • TandemQUAST: Performs quality assessment of ETR assemblies to identify assembly errors and guide improvements.
  • Error identification and correction: Detects and corrects sequencing- and assembly-derived errors in draft ETR assemblies.
  • Integration of mapping and QA: Combines read mapping and assembly-quality assessment specifically for extra-long tandem repeats.
  • ETR and centromere focus: Targets extra-long tandem repeats in eukaryotic genomes, including centromeric repeats.
  • Applicability to long-read assemblies: Operates on ETR assemblies produced with long-read sequencing technologies.

Scientific Applications:

  • ETR assembly evaluation: Assess the accuracy and completeness of extra-long tandem repeat assemblies.
  • Draft assembly refinement: Refine and correct draft ETR assemblies by leveraging mapped reads and QC metrics.
  • Centromere assembly improvement: Improve and validate human centromere assemblies by revealing and rectifying errors.
  • Biological analysis of repeats: Support analysis of ETRs implicated in chromosome segregation and other centromere-associated functions.

Methodology:

Composed of two components: TandemMapper for mapping error-prone reads onto ETRs, and TandemQUAST for evaluating assemblies, identifying assembly errors, and improving ETR assemblies.

Topics

Details

Programming Languages:
C++, C, Python
Added:
1/18/2021
Last Updated:
3/20/2021

Operations

Publications

Mikheenko A, Bzikadze AV, Gurevich A, Miga KH, Pevzner PA. TandemTools: mapping long reads and assessing/improving assembly quality in extra-long tandem repeats. Bioinformatics. 2020;36(Supplement_1):i75-i83. doi:10.1093/bioinformatics/btaa440. PMID:32657355. PMCID:PMC7355294.

PMID: 32657355
PMCID: PMC7355294
Funding: - St. Petersburg State University: 51555639