FastProNGS

FastProNGS preprocesses next-generation sequencing (NGS) reads by performing quality control and automatic adapter removal to produce high-quality input for downstream genomic analyses.


Key Features:

  • Quality Control Integration: Performs comprehensive quality control including automatic adapter removal and read filtration.
  • Parallel Processing: Uses multithreading to allocate multiple threads and accelerate preprocessing of large datasets.
  • Output Flexibility: Produces pre- and post-filtration read reports and exports results in plain-text, JSON, or HTML formats and includes visualization outputs for data interpretation.
  • Standardization: Applies a standardized preprocessing workflow to ensure consistency across analyses.
  • Customizable Parameters: Supports user-set parameter combinations to adjust preprocessing functions and thresholds.

Scientific Applications:

  • Transcriptomics: Provides high-quality preprocessed reads for transcriptome and RNA-seq analyses.
  • Genomics: Supplies cleaned sequencing reads suitable for genome assembly, variant calling, and other genomic workflows.
  • Epigenetics: Delivers filtered reads applicable to epigenetic sequencing assays requiring accurate read preprocessing.
  • Metagenomics: Preprocesses large-volume sequencing datasets for downstream taxonomic and functional profiling in metagenomic studies.

Methodology:

Implements automatic adapter removal and quality-control filtering with pre- and post-filtration read reporting, supports multithreading for bulk data processing, and accepts customizable user-set parameter combinations.

Topics

Details

License:
GPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux
Programming Languages:
Java, C
Added:
8/11/2019
Last Updated:
6/16/2020

Operations

Publications

Liu X, Yan Z, Wu C, Yang Y, Li X, Zhang G. FastProNGS: fast preprocessing of next-generation sequencing reads. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-2936-9. PMID:31208325. PMCID:PMC6580563.

Documentation

Links