SnoopCGH Beta

SnoopCGH analyzes array comparative genomic hybridization (array CGH) data to visualize and identify copy number variants, insertions, deletions, and other structural variants for genomic investigation.

Key Features:

• Data visualization and summarization: Provides visualization and summarization of array CGH log intensity values across one or more samples.
• Multi-format data input: Accepts tab-, space-, or comma-delimited input files containing series of log intensity values from comparisons or samples.
• Simultaneous multi-dataset analysis: Enables analysis of several datasets concurrently to support comparative examination of genomic data.
• Compatibility with short-read sequence data: Can be applied to short-read sequence data in addition to array CGH outputs.

Scientific Applications:

• Structural variant discovery and validation: Identification and validation of copy number variants, insertions, deletions, and other structural variants from array CGH data.
• Genetic disorder research: Analysis of genomic structural variation relevant to the study of genetic disorders.
• Evolutionary biology studies: Comparative analyses of structural variation for evolutionary investigations.
• Personalized medicine and comparative analyses: Comparative assessment of multiple datasets to inform personalized genomic interpretations.

Methodology:

Implemented in Java; parses tab-, space-, or comma-delimited files of log intensity values and performs visualization, summarization, and simultaneous analysis of multiple array CGH or short-read sequence datasets.