Improving Access to Gene Data Using Sequence Similarity
Author Information
Author(s): Gilchrist Michael J, Christensen Mikkel B, Harland Richard, Pollet Nicolas, Smith James C, Ueno Naoto, Papalopulu Nancy
Primary Institution: The Wellcome Trust/Cancer Research UK Gurdon Institute, Cambridge University
Hypothesis
A method based on sequence similarity searching might provide the power and accuracy needed for retrieving non-sequence gene data.
Conclusion
The proposed method effectively facilitates access to non-sequence gene data and allows for cross-species comparisons.
Supporting Evidence
- The method allows for direct retrieval of non-sequence data based on gene sequences.
- Applications built using this method showed high relevance in literature searches.
- The approach is quick and easy to implement with minimal maintenance.
Takeaway
This study created a new way to find gene-related images and information by using gene sequences instead of names, making it easier to find what you need.
Methodology
The study developed applications that use sequence similarity searches to retrieve image data, literature, and gene names.
Limitations
Users must have a gene sequence to start the search, and results may require interpretation to distinguish between similar genes.
Digital Object Identifier (DOI)
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