IPD-pipeline
IPD-pipeline performs comprehensive analysis of pathogen genomic NGS datasets, including short and long reads, to quantify pathogen presence, detect mutations, assign SARS-CoV-2 clades, and infer phylogenetic relationships for outbreak monitoring.
Key Features:
- Integrated analysis of heterogeneous NGS data: Processes short- and long-read sequencing datasets to provide uniform quantitative, variant, and phylogenetic analyses across platforms.
- Pathogen quantification and mutation analysis: Quantifies the presence of over 1,060 pathogens in sequencing data and performs detailed mutation and variant analysis.
- SARS-CoV-2 specific module: Includes a dedicated SARS-CoV-2 module for viral clade assignment and identification of novel variants.
- Phylogenetic analysis: Establishes phylogenetic connections among genome isolates to support evolutionary and transmission inference.
- Automated report generation: Produces automated reports summarizing quantitative, variant, and phylogenetic results.
Scientific Applications:
- SARS-CoV-2 genomic surveillance: Quantifies transcript burdens and identifies thousands of variants, including novel variants, across SARS-CoV-2 datasets.
- Outbreak investigation and transmission tracing: Uses phylogenetic relationships among isolates to trace transmission patterns and outbreak sources.
- Broad pathogen monitoring: Enables quantification and variant analysis across heterogeneous NGS datasets to support public health laboratory surveillance of multiple pathogens.
Methodology:
Processes heterogeneous short- and long-read NGS data to quantify pathogen genomes (>1,060 pathogens), perform integrated variant/mutation analysis, assign SARS-CoV-2 clades, conduct phylogenetic analyses, and generate automated reports.
Topics
Details
- Tool Type:
- desktop application
- Added:
- 3/19/2021
- Last Updated:
- 4/5/2021
Operations
Publications
Desai S, Rashmi S, Rane A, Dharavath B, Sawant A, Dutt A. An integrated approach to determine the abundance, mutation rate and phylogeny of the SARS-CoV-2 genome. Briefings in Bioinformatics. 2021;22(2):1065-1075. doi:10.1093/bib/bbaa437. PMID:33479725. PMCID:PMC7929363.