Find the signal in your functional genomics data
There are many roadblocks to a coherent integration of functional genomic data, including diverse experimental approaches, differences across species, divergent data formats, non-standardized vocabularies, imprecise or incomplete genotype-phenotype associations, and more. GeneWeaver overcomes the roadblocks by allowing researchers to readily integrate and analyze genome-wide experimental data across multiple protocols and several widely studied species.
Gene Weaver provides:
Gene Weaver puts biologists in the driver’s seat by providing on-demand analysis of user selected and user entered heterogeneous data, identifying convergent data signals, and yielding testable hypotheses.
Using Gene Weaver, researchers are able to compare and contrast results among a large number of related experiments, thereby classifying many biological phenomena. Noisy gene-function associations can be verified and established with more precision, and convergent evidence for novel roles of genes and associated traits can be rapidly identified from large data collections.
Gene Weaver allows users to ask questions in integrative functional genomics, such as:
Using a flexible suite of analysis tools, biologists are able to select data and develop customized workflows to answer these and other questions. A new release of the site is completely modernized with enhanced visualization, many new features, and a fully programmable interface for reproducible analysis.