Mutation Miner

Printer-friendly version

Send to friend

PDF version

Table of Contents

1. Overview
2. Project Members
- 2.1. Project supervision
- 2.2. Current Group Members
3. Further Information

1. Overview

The Mutation Miner project was initiated in 2004 by Christopher J.O. Baker (UNB) and René Witte.
NLP-extracted textual annotations mapped onto a protein's structure
Mutation Miner targets users for a specific area in biology: protein engineers. Information about protein mutations described in full-text research papers is extracted through a text mining subsystem and mapped to protein databases using a sophisticated pipeline of bioinformatics tools. The end result is transferred to a 3D-visualization of a particular molecule, showing information extracted from documents in a spatial context meaningful to bio-engineers. Mutation Miner was one of the first systems that goes beyond simply delivering information extracts by integrating a complete natural language subsystem into a biologically relevant application, thereby combining text analysis with bioinformatics algorithms.