GeneDistiller: A Tool for Finding Disease Genes
Author Information
Author(s): Dominik Seelow, Jana Marie Schwarz, Markus Schuelke
Primary Institution: Charité University Medical School, Berlin, Germany
Hypothesis
Can a web-based application effectively combine manual and automatic approaches to identify candidate genes from linkage intervals?
Conclusion
GeneDistiller allows researchers to interactively access and prioritize candidate genes, significantly improving the efficiency of gene discovery.
Supporting Evidence
- GeneDistiller integrates data from multiple sources to aid in gene discovery.
- The application allows for customizable queries based on user-defined criteria.
- A typical query takes less than two seconds, enhancing the research process.
Takeaway
GeneDistiller is like a smart helper that helps scientists find the right genes that might cause diseases by organizing lots of information quickly.
Methodology
Developed a web-based application integrating various data sources for gene-phenotype associations, allowing interactive filtering and prioritization of candidate genes.
Limitations
GeneDistiller currently only offers information about human genes and does not support complex queries with Boolean logic.
Digital Object Identifier (DOI)
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