HTSeqQC

HTSeqQC performs comprehensive quality control of high-throughput sequencing (HTS) data by evaluating read quality, filtering low-quality reads, and trimming adapters and other unwanted sequences to ensure data integrity for downstream analyses.

Key Features:

• Integrated Quality Control: Evaluates data quality and performs filtering and trimming analyses simultaneously in a one-step automated workflow.
• Performance Evaluation: Validated on a dataset of 322 samples with approximately one million paired-end reads per sample, demonstrating capability for large-scale batch processing.
• Execution Modes: Supports distributed and shared execution modes, completing QC analysis in approximately three hours (distributed) and thirty-one hours (shared) on the evaluated dataset.

Scientific Applications:

• Genomic analyses: Prepares HTS reads for downstream analyses such as variant calling.
• Transcriptomic analyses: Prepares data for gene expression profiling.
• Epigenomic analyses: Provides QC for epigenomic studies that depend on accurate read-level data.
• Metagenomics: Prepares sequencing data for metagenomics analyses by removing artifacts and low-quality reads.

Methodology:

HTSeqQC automates quality control by assessing sequence read quality, identifying and removing low-quality reads, and trimming adapters and other unwanted sequences, performing filtering and trimming in a single automated step to enable batch processing.