TileQC

TileQC performs tile-based quality control of sequencing data generated by Illumina's Solexa platform to detect tile-specific biases and errors and support reliable genome-scale analyses.

Key Features:

• Tile-Based Quality Control: Analyzes data from individual flow cell tiles to assess spatially localized sequencing quality.
• Graphical Representation: Produces graphical visualizations of tile-derived sequencing metrics to reveal patterns indicative of bias or error.
• Integration with R: Implemented in the R programming language to enable statistical analysis and scripting within the R environment.
• Adaptability and Automation: Provides configurable analysis parameters and supports automated detection of sequencing errors.

Scientific Applications:

• Quality control of Solexa data: Assesses and flags low-quality tiles in datasets generated by Illumina's Solexa platform.
• Detection of tile-specific biases and errors: Identifies spatial biases and systematic errors arising at the tile level that can affect downstream results.
• Preprocessing validation for genome-scale analyses: Validates sequencing data quality prior to downstream genomic and statistical analyses.

Methodology:

Performs tile-based analysis of flow cell tiles, generates graphical visualizations of tile metrics, and implements statistical analysis and automated error detection within the R environment.