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

Documentation

Links