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
Issue tracker
https://github.com/Megagenomics/FastProNGS/issues