QualiMap

Qualimap: Quality Control and Bias Detection for NGS Alignment Data

Qualimap performs quality control and evaluation of sequence alignment data from next-generation sequencing (NGS) technologies by analyzing SAM and BAM files to assess read distribution, coverage, and potential biases introduced by sequencing technologies, protocols, or mapping algorithms.

Key Features:

• SAM/BAM Analysis: Processes large-scale nucleotide sequence alignment files containing tens to hundreds of millions of reads.
• Bias Detection: Systematically identifies biases through analysis of sequence features and genomic properties.
• Statistical Assessment: Generates quantitative metrics for coverage, read distribution, and alignment quality.

Scientific Applications:

• NGS Data Validation: Evaluates alignment quality to detect sequencing or mapping artifacts prior to downstream genomic analyses.

Methodology:

Qualimap analyzes nucleotide sequence alignments in SAM and BAM formats by computing statistical metrics and assessing genomic feature distributions to detect deviations and biases associated with sequencing technologies, experimental protocols, or mapping algorithms.