HPG pore
HPG pore performs scalable analysis of nanopore sequencing data, supporting real-time and distributed processing of MinION™ long-read data from long DNA fragments without prior amplification.
Key Features:
- Scalability: Handles analyses on single computers and scales to large datasets using distributed computing.
- Hadoop distributed computing: Integrates with the Hadoop framework to distribute computational tasks across multiple nodes.
- Real-Time Analysis: Supports real-time DNA analysis for immediate processing and interpretation of nanopore read data.
- Long-read Nanopore Support: Explicitly supports MinION™ long-read sequencing derived from long DNA fragments without amplification.
Scientific Applications:
- Genomic research: Enables studies that require long-read sequencing capabilities for comprehensive analysis of DNA sequences.
- Clinical diagnostics: Applies to contexts where rapid and comprehensive analysis of nanopore-derived DNA sequences is required.
Methodology:
Leverages the Hadoop distributed computing framework to distribute sequencing data processing across multiple nodes for scalable handling of nanopore datasets.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Java
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Tarraga J, Gallego A, Arnau V, Medina I, Dopazo J. HPG pore: an efficient and scalable framework for nanopore sequencing data. BMC Bioinformatics. 2016;17(1). doi:10.1186/s12859-016-0966-0. PMID:26921234. PMCID:PMC4769497.
PMID: 26921234
PMCID: PMC4769497
Funding: - Ministerio de Economía y Competitividad: BIO2014-57291-R
- European Commission: MLPM2012 318861
- Generalitat Valenciana: PROMETEOII/2014/025