Biosequence Alignment Studies
Abstract
Various small experiments will be conducted in order to aid collaborators in their studies of biosequences. In addition, production runs will be performed in order to analyze (clustering) large biosequence data sets.
Intellectual Merit
Biosequence analysis continues to lag behind the generation of raw biosequence data. By investigating methods for pipelining analysis methods, we can provide further tools and insight into sequence classification.
Broader Impact
Progress by our collaborators will provide stepping stones for ever more powerful sequence analysis methods. Successful classification of the sequence data of interest may lead to further insights into human genetics and spawn further research problems.
Use of FutureGrid
"System/algorithm research.\n\nBiosequence analysis research.\n\nAid collaborators with computational experiments."
Scale Of Use
"I'll be doing some simple configuration testing for biology jobs, which should be small in scale.\n\n\n\nIn addition, I may be running some sequence alignment jobs consisting of several hundred thousand to several million input sequences run against databases several GB in size."
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