OPERA-LG

OPERA-LG assembles large, repeat-rich eukaryotic genomes by producing scalable, exact scaffolds and integrating data from second-generation and third-generation sequencing technologies to improve scaffold correctness and contiguity.


Key Features:

  • Scalability and Exactness: Implements a scalable exact algorithmic framework that maintains assembly exactness on large genomes.
  • Performance Superiority: Produces improved scaffold correctness and contiguity compared to state-of-the-art programs.
  • Rigorous Framework for Repeats: Provides a rigorous scaffolding framework specifically tailored to repetitive sequences in large eukaryotic genomes.
  • Integration of Diverse Data Sources: Systematically combines data from second-generation and third-generation sequencing technologies to leverage their complementary strengths.

Scientific Applications:

  • Assembly of Complex Eukaryotic Genomes: Enables assembly of large, repeat-rich eukaryotic genomes that require accurate scaffolding.
  • Improvement of Draft Assemblies: Refines existing draft eukaryotic genome assemblies by improving scaffold correctness and contiguity.
  • Integrative Sequencing Analyses: Supports integration of second-generation and third-generation sequencing data for comprehensive genomic studies.

Methodology:

Employs a systematic scaffold-assembly approach using an exact algorithmic framework that rigorously addresses repetitive sequences, scales with genome size, and combines data from second-generation and third-generation sequencing technologies.

Topics

Collections

Details

License:
Not licensed
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Perl
Added:
8/20/2017
Last Updated:
11/25/2024

Operations

Publications

Gao S, Bertrand D, Chia BKH, Nagarajan N. OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees. Genome Biology. 2016;17(1). doi:10.1186/s13059-016-0951-y. PMID:27169502. PMCID:PMC4864936.

PMID: 27169502
PMCID: PMC4864936
Funding: - Science and Engineering Research Council, Agency for Science, Technology and Research (SG): 102 101 0025 - Genome Institute of Singapore (SG): ARB

Documentation