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Updated: Jun 23, 2026
09:37
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
ANNIE: integrated de novo protein sequence annotation.
Hong Sain Ooi1, Chia Yee Kwo, Michael Wildpaner
1Bioinformatics Institute, A*Star, Singapore.
Nucleic Acids Research
|April 25, 2009
Summary
ANNIE integrates over 20 protein function prediction tools, simplifying computational sequence analysis. This tool provides researchers with a quick, integrated overview of potential functional assignments for protein sequences.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Protein function prediction is complex, relying on numerous tools with disparate formats.
- Researchers struggle to integrate data from various prediction tools for a comprehensive analysis.
- A unified approach is needed to streamline the interpretation of protein sequence data.
Purpose of the Study:
- To develop an automated system for integrating multiple protein function prediction tools.
- To provide researchers with a consolidated view of potential functional assignments for protein sequences.
- To simplify and accelerate the process of computational sequence analysis.
Main Methods:
- Integration of over 20 reliable protein function prediction algorithms.
- Development of an automated workflow for sequence analysis.
- Implementation of an AJAX-based sequence viewer for integrated results display.
Main Results:
- ANNIE successfully combines multiple prediction tools into a single platform.
- The system offers an integrated overview of functional assignments for protein sequence segments.
- An innovative AJAX-based viewer enhances the visualization of prediction results.
Conclusions:
- ANNIE significantly simplifies protein function prediction by automating data integration.
- The tool provides a valuable overview for researchers in computational biology and genomics.
- ANNIE is freely accessible online, facilitating broader adoption in scientific research.
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