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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

MyMiner: a web application for computer-assisted biocuration and text annotation.

David Salgado¹, Martin Krallinger, Marc Depaule

¹Australian Regenerative Medicine Institute (ARMI), Monash University, Clayton, Victoria 3800, Australia. david.salgado@monash.edu

Bioinformatics (Oxford, England)

|July 14, 2012

Summary

MyMiner is a free text annotation tool that simplifies biocuration tasks. It provides labeled data for text mining systems, aiding bioinformatics analysis of scientific literature.

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Area of Science:

Bioinformatics
Computational Biology
Text Mining

Background:

Scientific literature is growing exponentially, creating vast amounts of unstructured text data.
Bioinformatics tools require structured data, often obtained through manual, time-consuming literature curation.
Existing methods for data extraction from scientific literature are often inefficient.

Purpose of the Study:

To introduce MyMiner, a user-friendly text annotation tool.
To assist researchers in biocuration tasks and generate labeled data for text mining.
To streamline the process of converting unstructured scientific text into usable data for bioinformatics.

Main Methods:

MyMiner enables classification and labeling of textual data.
Users can define custom classes or utilize predefined biological entities.
The tool is designed for ease of use in annotating scientific literature.

Main Results:

MyMiner facilitates efficient biocuration and data labeling.
The tool supports the development of text mining systems by providing structured data.
Demonstrated usefulness across various real-life annotation scenarios and research topics.

Conclusions:

MyMiner effectively addresses the challenge of handling unstructured scientific literature.
The tool enhances the efficiency of biocuration and supports text mining development.
MyMiner is a valuable resource for bioinformatics and computational biology research.