SeqSeeker: A Search Engine for Large Numbers of Very Long Sequences

Grant number: DP0880250 | Funding period: 2008 - 2012

Completed

Abstract

Large sets of very long sequences arise in many important domains. Well known examples are time series sequences in financial markets and meteorology and DNA and protein sequences in biology. This project will develop a search system, SeqSeeker, that can perform search on massive databases of such sequences. This will allow experts from many domains to get more value from their data and to investigate datasets which are currently beyond the reach of today's technology.

University of Melbourne Researchers