ARCS

ARCS leverages barcoded linked reads from technologies such as 10X Genomics Chromium and GemCode to infer long-range connections and scaffold draft genome assemblies, increasing assembly contiguity.


Key Features:

  • Linked-Read Utilization: Uses barcoding information from linked-read technologies (10X Genomics Chromium, GemCode) to recover long-range linkage information absent from conventional short-read data.
  • Enhanced Contiguity: Increases assembly contiguity—for example, using moderate coverage (25-fold) Chromium data ARCS improved an ABySS human genome assembly contiguity by over six-fold.
  • Scalability and Utility: Integrates barcode-derived linkages to connect high-quality sequences within draft assemblies across diverse genomic projects.

Scientific Applications:

  • Genome Assembly: Scaffolds fragmented draft genomes into more contiguous sequences that better reflect chromosomal architecture.
  • Structural Genomics: Provides long-range linkage information to aid resolution of complex genomic regions and structural variants.
  • Comparative Genomics: Produces higher-quality assemblies that enable more accurate comparative and evolutionary analyses.

Methodology:

Accepts linked-read sequencing data, extracts and interprets barcode information to establish linkage relationships across contigs, and uses those inferred linkages to scaffold draft assemblies and increase contiguity.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
C, C++
Added:
9/9/2022
Last Updated:
11/24/2024

Operations

Publications

Yeo S, Coombe L, Warren RL, Chu J, Birol I. ARCS: scaffolding genome drafts with linked reads. Bioinformatics. 2017;34(5):725-731. doi:10.1093/bioinformatics/btx675. PMID:29069293. PMCID:PMC6030987.

PMID: 29069293
PMCID: PMC6030987
Funding: - National Institutes of Health: R01HG007182