CORDIS Project
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This project aims to improve the speed of biological sequence identification in life sciences by developing new algorithms. It focuses on large-scale identification techniques that reduce computational costs associated with traditional sequence alignment methods.
Biological sequence databases are a core source of information in the life sciencesand have nowadays grown to multiple thousand entries.
Classically, a query of a sequence to such adatabase requires the comparison of the query to each entry using an alignment algorithm,like fasta, smith-Waterman or blast.
Many realtime and high-througput experiments relyon a quick identification of the query to decide the next steps in the experimental pipelineand are currently slown down by the costs of the cla…
THE UNIVERSITY OF BIRMINGHAM
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