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
Description

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.