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.