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BioSeq-Analysis: a platform for DNA, RNA and protein sequence analysis based on machine learning approaches
Briefings in Bioinformatics
|December 23, 2017
Summary
BioSeq-Analysis is a new web server and standalone tool that automates biological sequence analysis. It integrates feature extraction, predictor construction, and performance evaluation, outperforming existing methods.
Area of Science:
- Bioinformatics
- Computational Biology
- Machine Learning in Biology
Background:
- The post-genomic era generates vast biological sequence data, necessitating efficient computational analysis of structures and functions.
- Machine learning (ML) is crucial for biological sequence analysis, typically involving feature extraction, predictor construction, and performance evaluation.
- Existing tools often focus on only one step, creating a need for integrated solutions.
Purpose of the Study:
- To develop a comprehensive web server and standalone tool, BioSeq-Analysis, for automated biological sequence analysis.
- To integrate the three core steps of predictor construction: feature extraction, predictor building, and performance evaluation.
- To provide a user-friendly platform for generating optimized predictors from benchmark datasets.
Main Methods:
- Development of the BioSeq-Analysis web server and its downloadable standalone program.
- Automation of the entire predictor construction pipeline, from data upload to performance reporting.
- Application of the tool to three distinct sequence analysis tasks.
Main Results:
- BioSeq-Analysis successfully automates the complete predictor construction process for biological sequences.
- The predictors generated by BioSeq-Analysis demonstrated superior performance compared to state-of-the-art methods in experimental evaluations.
- The tool is accessible via a web server and as a downloadable program for Windows, Linux, and UNIX.
Conclusions:
- BioSeq-Analysis offers a powerful and integrated solution for computational biological sequence analysis.
- The tool's ability to automate and optimize predictor generation makes it valuable for researchers.
- BioSeq-Analysis is expected to become an indispensable resource for the bioinformatics community.
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