IGLOSS: iterative gapless local similarity search

TL;DR

IGLOSS is a high-sensitivity web-based tool designed for iterative local sequence similarity searches, addressing the need for exploring local patterns in the rapidly growing sequence data in bioinformatics.

Contribution

The paper introduces IGLOSS, a novel iterative local similarity search method that enhances detection of sequence patterns without relying heavily on pre-existing information.

Findings

High sensitivity in local sequence pattern detection

Effective in exploring large-scale sequence data

Web-based interface for accessibility

Abstract

Searching for local sequence patterns is one of the basic tasks in bioinformatics. Sequence patterns might have structural, functional or some other relevance, and numerous methods have been developed to detect and analyze them. These methods often depend on the wealth of information already collected. The explosion in the number of newly available sequences calls for novel methods to explore local sequence similarity. We have developed a high sensitivity web-based iterative local similarity scanner, that finds sequence patterns similar to a submitted query.