A tool to compare genomic data from experiments to data from the literature. Technological advancements in the past decade led to an enormous explosion in measurements of heterogeneous types of biological data (e.g., complete genomic sequences for many organisms, genome-wide measurements of gene expression levels, protein-protein interactions, etc.). Such data accumulates to billions of data points and can thus only be analyzed using computers. Indeed, much recent work has been devoted to the development of computational methods that attempt to extract biological understanding from this wealth of data. However, to extract concrete biological understanding from existing methods, further time consuming post-analysis of their output is required, and there is no easy way to integrate and compare the results of one analysis with the wealth of biological data that has accumulated in available databases and in the literature. The present technology introduces Genomica, a statistical analysis and visualization tool that integrates any type of genomic data, with the aim of facilitating biological discoveries.
- Drug discovery
- Biological research project
- Any other process that either generates, uses, or analyzes genomic data of any type.
- Data represented in either a gene-based, or genomic coordinate-based fashion
- Fast, automatic results
- Easy-to-use visualizations
- Packaged both as a standalone application and as a web-based service
Genomica contains a suite of tools that automatically, and within minutes, allow researchers to compare their data to the wealth of data available from the literature and to highlight the part of the phenomenon in the data which is novel and specific to the dataset being examined, thereby generating testable hypotheses for further experiments. Generated answers are presented by easy-to-use visualizations that work within a top-down fashion: Global and system-level views of the entire set of significant associations are first presented with colored matrices (heatmap views), from which researchers can then zoom in on particular associations. The tool represents all genomic data in either a gene-based, or genomic coordinate-based fashion, which allows it to analyze, integrate, and visualize any type of genomic data, including recent high-resolution tiling DNA microarrays.