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Microarray Analysis for Saccharomyces cerevisiae
Published on: April 7, 2011
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YeastMine--an integrated data warehouse for Saccharomyces cerevisiae data as a multipurpose tool-kit
Rama Balakrishnan1, Julie Park, Kalpana Karra
1Department of Genetics, Stanford University, Stanford, CA 94305-5120, USA.
Database : the Journal of Biological Databases and Curation
|March 22, 2012
Summary
YeastMine, a new data warehouse from Saccharomyces Genome Database, enhances yeast research by offering advanced search and data retrieval for Saccharomyces cerevisiae genes and products. It provides a powerful platform for data analysis and discovery.
Area of Science:
- Genomics
- Bioinformatics
- Yeast Biology
Background:
- The Saccharomyces Genome Database (SGD) curates essential genomic and molecular data for Saccharomyces cerevisiae.
- Increasing research complexity necessitates advanced data searching and comparison tools.
Purpose of the Study:
- To introduce YeastMine, an open-source data warehouse built on the InterMine system.
- To provide researchers with a sophisticated interface for querying and analyzing Saccharomyces cerevisiae data.
Main Methods:
- Implementation of the InterMine open-source data warehouse system.
- Development of a multifaceted search and retrieval environment for diverse biological data types.
- Customization of query templates and data download options.
Main Results:
- YeastMine enables searches using gene lists, Gene Ontology terms, and other data types.
- Query results can be combined, saved, and downloaded in customizable formats.
- The system supports customized query creation for specific data combinations.
Conclusions:
- YeastMine serves as a powerful search interface and discovery tool for yeast researchers.
- It functions as a valuable curation aid and a complex database presentation format.
- The platform facilitates deeper insights into Saccharomyces cerevisiae genomics and molecular biology.
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