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.

PMID: 34013348
PMCID: PMC8574707
Funding: - Programa de Empleo Juvenil: PEJD-2018-PRE/BMD-9388 - Community of Madrid: PEJD-2017-PRE/BMD-4828 - Comunidad de Madrid: PEJ2018-005067-P - Spanish Ministery of Science and Innovation: PTA2017-14628-I