dnaasm-link

dnaasm-link links contigs from next-generation sequencing with long reads from third-generation sequencing to improve assembly continuity and resolve repetitive genomic regions.


Key Features:

  • Integration of Sequencing Technologies: Links contigs derived from next-generation sequencing with long reads from third-generation sequencing to combine complementary read lengths for assembly improvement.
  • Gap Filling: Selects and integrates fragments from long reads to fill spanned and unspanned gaps within assemblies.
  • Repetitive Sequence Reconstruction: Employs an algorithm that uses the relative frequency of reads to enable precise reconstruction of repetitive sequences.
  • Performance Optimization: Implements optimizations targeting speed and memory efficiency to handle large genomes.

Scientific Applications:

  • Large or Complex Genome Assembly: Improves continuity and completeness of assemblies for organisms with large or complex genomes.
  • Repetitive Region Resolution: Enables more accurate assembly of repetitive genomic regions.
  • Evolutionary Studies: Supports comparative and evolutionary analyses that require high-quality assemblies.
  • Genetic Diversity Analysis: Facilitates population and diversity studies by providing more complete genome drafts.
  • Functional Genomics and Genomic Architecture: Enhances studies of gene function and genomic structure through improved assembly accuracy.

Methodology:

Links contigs from next-generation sequencing with long reads from third-generation sequencing, uses an algorithm based on the relative frequency of reads to reconstruct repetitive sequences, and fills spanned and unspanned gaps by integrating suitable fragments from long reads.

Topics

Details

License:
LGPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Kuśmirek W, Franus W, Nowak R. Linking De Novo Assembly Results with Long DNA Reads Using the dnaasm-link Application. BioMed Research International. 2019;2019:1-10. doi:10.1155/2019/7847064. PMID:31111066. PMCID:PMC6487145.

PMID: 31111066
PMCID: PMC6487145
Funding: - Narodowe Centrum Nauki: 2016/21/B/ST6/01471

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