Heuristic Pairwise Alignment in Database Environments

Biological data have gained wider recognition during the last few years, although managing and processing these data in an efficient way remains a challenge in many areas. Increasingly, more DNA sequence databases can be accessed; however, most algorithms on these sequences are performed outside of the database with different bioinformatics software. In this article, we propose a novel approach for the comparative analysis of sequences, thereby defining heuristic pairwise alignment inside the database environment. This method takes advantage of the benefits provided by the database management system and presents a way to exploit similarities in data sets to quicken the alignment algorithm. We work with the column-oriented MonetDB, and we further discuss the key benefits of this database system in relation to our proposed heuristic approach.

Automated summary

The article presents a novel approach for comparative analysis of sequences within a database environment, taking advantage of database management systems to expedite alignment algorithms. The authors work with the column-oriented MonetDB and discuss the key benefits of this database system in relation to their proposed heuristic approach.