Scalable multi-query optimization for exploratory queries over federated scientific databases
Proceedings of the VLDB Endowment
Learning to create data-integrating queries
Proceedings of the VLDB Endowment
BioBrowsing: Making the Most of the Data Available in Entrez
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
DILS '09 Proceedings of the 6th International Workshop on Data Integration in the Life Sciences
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Transactions on large-scale data- and knowledge-centered systems III
Using medians to generate consensus rankings for biological data
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
A secured collaborative model for data integration in life sciences
Transactions on large-scale data- and knowledge-centered systems IV
Collaborative data sharing via update exchange and provenance
ACM Transactions on Database Systems (TODS)
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Summary: Biologists are frequently faced with the problem of integrating information from multiple heterogeneous sources with their own experimental data. Given the large number of public sources, it is difficult to choose which sources to integrate without assistance. When doing this manually, biologists differ in their preferences concerning the sources to be queried as well as the strategies, i.e. the querying process they follow for navigating through the sources. In response to these findings, we have developed BioGuide to assist scientists search for relevant data within external sources while taking their preferences and strategies into account. In this article, we present BioGuideSRS, a user-friendly system which automatically retrieves instances of data by using BioGuide on top of the sequence retrieval system (SRS). BioGuideSRS is an Applet that can be run from its web page on any system with Java 5.0. Availability: http://www.bioguide-project.net Contact: sarahcb@seas.upenn.edu