GRACy
GRACy reconstructs and annotates human cytomegalovirus (HCMV) genomes from Illumina sequencing data to support genotyping, variant detection, and downstream genomic analyses.
Key Features:
- Read Quality Filtering: Automated modules perform read quality filtering to select high-quality Illumina sequencing reads for reliable downstream analysis.
- Genotyping: Facilitates accurate genotyping of HCMV strains to characterize viral diversity.
- De Novo Assembly: Supports de novo genome assembly from raw sequence data to reconstruct complete or near-complete HCMV genomes without a reference.
- Variant Detection: Provides variant analysis capabilities to identify mutations of potential clinical significance.
- Genome Annotation: Automates annotation of genomic features and links them to functional information.
- Data Submission: Implements pathways for submitting sequence data and annotations to public databases.
Scientific Applications:
- Viral evolution: Enables comparative analyses to investigate HCMV evolutionary dynamics.
- Pathogenesis studies: Supports genomic investigations into determinants of HCMV pathogenesis.
- Resistance mechanism analysis: Facilitates detection and study of mutations associated with antiviral resistance.
- Clinical and diagnostic genomics: Provides genomic data and annotations to inform clinical research and diagnostic investigations.
Methodology:
Performs automated read quality filtering, HCMV genotyping, de novo assembly, variant detection, genome annotation, and data submission workflows and is implemented in Python; it has been tested on simulated and experimental datasets.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, desktop application
- Programming Languages:
- Python
- Added:
- 3/19/2021
- Last Updated:
- 3/30/2021
Operations
Publications
Camiolo S, Suárez NM, Chalka A, Venturini C, Breuer J, Davison AJ. GRACy: A tool for analysing human cytomegalovirus sequence data. Virus Evolution. 2020;7(1). doi:10.1093/ve/veaa099. PMID:33505707. PMCID:PMC7816668.