Agilent is pleased to announce the new release of DNA Analytics 4.0 (previously named CGH Analytics), a powerful, user-friendly application for the investigation of genomic-based microarray data:
Three Analysis Modules: DNA Analytics comes with analysis modules for CGH and CNV applications, ChIP-on-chip, and DNA methylation. Each module contains application-specific algorithms that have been optimized for Agilent array-based products.
Genome Browser: DNA Analytics serves as a free genome browser, allowing raw data and analysis results to be viewed together with genomic tracks.
Data Processing: The DNA Analytics data processing engine allows for the analysis of large array-set experiments, enabling the detection of genomic-based events across 100 or more 244K microarrays. With the 64-bit version of the application, data processing takes just minutes, even with very large data sets.
Download a Free Trial of DNA Analytics 4.0.
The CGH/CNV Module for DNA Analytics 4.0 offers sophisticated analytical tools and data views for the detection and exploration of chromosomal aberrations and genomic variation analysis. These tools and views enable a complete perspective of an entire chromosome to delineate aberration boundaries and make statistically relevant variation calls using algorithms such as ADM2, CBS, and z-score. In addition, a researcher can conduct joint analysis between CGH and Gene Expression data, validating the impact of genomic variation on transcription abundance. With the emerging importance of Copy Number Variation (CNV) to genomic research, DNA Analytics has expanded the CGH Module to accommodate CNV analysis with the addition of non-unique probe support and genome tracks. Genome tracks enable you to avoid or include known CNV regions in your analysis, or even create your own genome track containing CNVs or other variable genomic regions.
The ChIP Module for DNA Analytics 4.0 replaces Agilent’s ChIP Analytics software application for support of ChIP-on-chip applications. In an effort to make analysis more user-friendly, the improved software provides a ‘workflow mode,’ allowing the user to easily view and modify the analysis variable settings, and to save them as a defined workflow, which can be run again and again with one push of a button. Specifically, the ChIP module analyzes the significance of protein binding events without extensive processing and manipulation. The software takes advantage of the high-speed analysis power of the DNA Analytics platform and includes user-configurable heuristics for binding event identification, based on p-values and adjacent probes, as well as inter- and intra-array intensity normalization and error modeling.
The DNA Methylation Module of the DNA Analytics 4.0 release enables users to visualize Methylation data within the genome browser along with other genomic-oriented elements such as genes and CpG islands.
Download a Free Trial of DNA Analytics 4.0.