BatchQC

BatchQC identifies and evaluates batch effects in sequencing and microarray omics data to diagnose and support correction of technical biases that can confound downstream analyses.

Key Features:

• Interactive Diagnostics: Provides interactive diagnostics to determine whether batch adjustment is necessary and to assess the extent of batch variation.
• Visualizations and Statistical Analyses: Generates comprehensive visualizations and statistical analyses to evaluate the impact of batch effects on genomic datasets.
• Integration with Existing Adjustment Tools: Enables application of existing batch-adjustment methods and supports interactive evaluation of their effectiveness.

Scientific Applications:

• Genomics and Omics Data Quality Control: Diagnosing and correcting batch effects in sequencing and microarray datasets to improve the reliability of downstream genomic analyses.
• Method Validation: Validation and benchmarking of batch-correction strategies using simulated and real datasets.

Methodology:

Assessment using interactive diagnostics and visualizations to identify presence and extent of batch effects, application of existing adjustment tools to correct biases, and interactive evaluation of the correction's impact.