QC-Chain

QC-Chain performs comprehensive quality control of next-generation sequencing (NGS) metagenomic datasets by detecting and removing low-quality bases and reads and screening for higher eukaryotic contaminants to enable reliable downstream microbial community analyses.

Key Features:

• Technical Tests: Conducts initial technical assessments of input data to identify errors that could compromise downstream analyses.
• Quality Trimming: Filters out poor sequencing-quality bases and reads through quality trimming to reduce noise in metagenomic datasets.
• Contamination Screening: Screens metagenomic datasets for contamination, specifically identifying higher eukaryotic species for removal.
• Optimized Computing Processes: Employs parallel programming techniques for computational efficiency and processed an 8-GB real dataset in under 20 minutes.

Scientific Applications:

• Metagenomic research: Provides comprehensive QC for NGS-based metagenomic studies, improving the reliability of microbial identification and characterization from complex environmental samples.
• Microbial diversity and functional studies: Enables removal of sequencing artifacts and contaminants so analyses of microbial diversity, ecosystem functions, and microbial roles in health and disease focus on genuine biological signals.

Methodology:

Integrates technical assessments, quality trimming of bases and reads, and contamination screening for higher eukaryotic species, and uses parallel programming to optimize processing speed.