ARAMIS
ARAMIS corrects insertions and deletions (indels) in long-read genome assemblies by integrating PacBio long-read data with high-accuracy Illumina short reads to improve assembled-genome accuracy.
Key Features:
- Integrated Correction Pipeline: Combines multiple correction algorithms and leverages Illumina short-read data to correct indel errors in PacBio long reads.
- Efficiency and Resource Optimization: Provides superior correction with reduced computational demands compared to existing approaches.
- Error Characterization: Analyzes the nature and genomic distribution of indel errors, including systematic biases affecting homopolymeric regions.
- Adaptability to Diverse Genomes: Applied to six organisms with varying GC content, genome size, and genomic complexity.
Scientific Applications:
- Comparative Genomics: Produces accurate assemblies that facilitate comparative analyses across species or strains.
- Functional Genomics: Ensures functional annotations are based on corrected sequences free of indel-induced artifacts.
- Evolutionary Studies: Enables investigation of evolutionary processes and genetic diversity using high-fidelity long-read assemblies.
Methodology:
Combine PacBio long reads with high-accuracy Illumina short reads; apply a suite of correction algorithms to identify and correct indels; perform systematic error analysis to detect patterns related to GC content and homopolymeric regions.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- Shell, Python, R
- Added:
- 6/14/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Sacristán-Horcajada E, González-de la Fuente S, Peiró-Pastor R, Carrasco-Ramiro F, Amils R, Requena JM, Berenguer J, Aguado B. ARAMIS: From systematic errors of NGS long reads to accurate assemblies. Briefings in Bioinformatics. 2021;22(6). doi:10.1093/bib/bbab170. PMID:34013348. PMCID:PMC8574707.