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BioInt: an integrative biological object-oriented application framework and interpreter.

Sanket Desai¹, Prasad Burra²

¹1 School of Biotechnology, IGNOU - International Institute of Information Technology, Center of Excellence for Advanced Research and Education, P-14, Rajiv Gandhi Infotech Park, Phase-1, Hinjewadi, Pune, India.

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|November 13, 2015

Summary

This summary is machine-generated.

BioInt is a biological programming framework enabling researchers to integrate, extract, and analyze biological data efficiently. This framework simplifies complex workflows, saving significant research time.

Keywords:

#43 &amp C&amp abstract data type annotation application framework bioinformatics biological algorithms biological programming biological scripting curation data mining interpreter object-oriented design software ecosystem software engineering workflow system

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Area of Science:

Bioinformatics
Computational Biology
Software Engineering

Background:

Biological data analysis requires specialized tools for integration and extraction.
Existing frameworks may lack flexibility and comprehensive functionalities for diverse biological research needs.
Efficient data analysis is crucial for accelerating biological discoveries.

Purpose of the Study:

To develop BioInt, a biological programming application framework and interpreter.
To provide researchers with seamless integration, efficient data extraction, and effortless analysis capabilities.
To create a flexible, integrative, and comprehensive software ecosystem for biological research.

Main Methods:

Developed a biology-specific framework with nine modules based on data types, algorithms, and functionalities.
Integrated over 450 reusable biological data abstraction and data types (BioADTs) into the framework.
Designed BioInt with a C++-like syntax for scripting and interactive execution, similar to Python.

Main Results:

BioInt offers seamless integration and efficient extraction/analysis of biological data.
The framework's nine modules and extensive BioADTs provide a flexible and comprehensive ecosystem.
Eliminates compilation and linking steps, significantly reducing research time.
Supports automation, extension with new BioADTs/libraries, and deployment of complex workflows.

Conclusions:

BioInt empowers researchers by simplifying complex biological data analysis and workflow management.
The framework's design enhances research efficiency and accelerates the pace of biological discovery.
BioInt represents a significant advancement in biological programming application frameworks.