K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
Managing data from high-throughput genomic processing: a case study
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Database challenges in the integration of biomedical data sets
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Biological data management: research, practice and opportunities
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A first tutorial on dataspaces
Proceedings of the VLDB Endowment
Riding the elephant: managing ensembles with hadoop
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
Managing data in high throughput laboratories: an experience report from proteomics
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
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Biological data management includes the traditional areas of data generation, acquisition, modelling, integration, and analysis. Although numerous academic biological data management systems are currently available, employing them effectively remains a significant challenge. We discuss how this challenge was addressed in the course of developing the Integrated Microbial Genomes (IMG) system for comparative analysis of microbial genome data.