FlyMine: an integrated database for Drosophila and Anopheles genomics

By R. Lyne, Richard N. Smith, Kim M Rutherford, Matthew Wakeling, A. Varley, Francois Guillier, H. Janssens, Wenyan Ji, P. McLaren, P. North and 10 more. Genome Biology, 2007

380 citations recorded by the source corpus.

FlyMine is a data warehouse that addresses one of the important challenges of modern biology: how to integrate and make use of the diversity and volume of current biological data. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides web access to integrated data at a number of different levels, from simple browsing to construction of complex queries, which can be executed on either single items or lists.

Subfields: Genetics, Insect Science, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/52e7970a38411a0d3068abefa7907db249163259

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Karen Eilbeck

In Molecular Biology

1. Karen R. Christie
2. Karen Eilbeck
3. C. Mungall
4. Gene Ontology Consortium
5. Judith A. Blake
6. Kuo-Chen Chou

Citations in the corpus

• Evolution of the Sequence Ontology terms and relationships (2010, background): “Genomic data was notorious for the multitude of file formats that expressed the same kind of data in different ways.”
• Saccharomyces Genome Database: the genomics resource of budding yeast (2011, methodology): “YeastMine was developed using the Intermine environment (25) and is being employed by other model organism databases and the modENCODE project (26) for Drosophila and Caenorhabditis genomic data.”
• MouseMine: a new data warehouse for MGI (2015, methodology): “Users can now access data for multiple species using common interfaces and tools, e.g., a user familiar with FlyMine can immediately start using MouseMine.”
• Cell Type-Specific Transcriptome Analysis in the Drosophila Mushroom Body Reveals Memory-Related Changes in Gene Expression (2016, neutral): “We examined gene ontology (GO) term enrichment of our samples (Lyne et al., 2007), looking for biological processes (described by their GO term) that were over-represented in the high-expressing genes from our neuronal and whole fly samples.”