Biosequence Alignment Studies

Project Information

Discipline

Computer Science (401) 

Orientation

Research 

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.

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.

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.

Project Contact

Project Lead

Adam Hughes (adalhugh) 

Project Manager

Adam Hughes (adalhugh) 

Project Members

Saliya Ekanayake  

Resource Requirements

Hardware System

• Not sure

 

"System/algorithm research.\n\nBiosequence analysis research.\n\nAid collaborators with computational experiments."

"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."

Project Timeline

Submitted

11/03/2010 - 13:52 

Completed

03/22/2013