Experimentation Project

Title Comparative study of sequence alignment methods on Monet
Student ?
Supervisor Hans Philippi
ECTS 7.5 or 15
Related Course(s) Database Architecture, Complex Data

For sequence alignment, BLAST is the most well known and widespread tool.
At our department, we have a BLAST2 emulation running on Monet, a main-memory high-performance DBMS.
We are interested a comparative study of several alternative methods for alignment (such as Cafe, DASH, gapped seeds) using Monet as platform.

This project requires programming skills (C/C++). It is suitable for cooperation by more than one student.