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Updated: Nov 18, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
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Research on Components Assembly Platform of Biological Sequences Alignment Algorithm.

Haihe Shi1, Gang Wu1, Xuchu Zhang1

  • 1School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China.

Frontiers in Genetics
|February 8, 2021
PubMed
Summary
This summary is machine-generated.

Software components improve biological sequence alignment algorithm development. A component assembly platform with a visual interface simplifies creating and optimizing these complex algorithms for direct use.

Keywords:
B/S architecturebiological sequence alignment algorithmcomponentcomponent assembly platformcomponent model

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Area of Science:

  • Bioinformatics
  • Software Engineering

Background:

  • Biological sequence alignment algorithms are becoming increasingly complex.
  • Lack of high-level domain research hinders algorithm development and improvement.

Purpose of the Study:

  • To enhance the development efficiency and reliability of biological sequence alignment algorithms.
  • To simplify the process of creating and optimizing these algorithms.

Main Methods:

  • Applying software component principles to algorithm design.
  • Utilizing a component assembly platform with assembly technology.
  • Employing a user-friendly visual interface for component integration.

Main Results:

  • Improved development efficiency and reliability of biological sequence alignment algorithms.
  • Simplified operation for component assembly and algorithm maintenance.
  • Directly executable sequence alignment programs generated through intuitive assembly.

Conclusions:

  • Software component-based approach effectively addresses the complexity of biological sequence alignment.
  • The component assembly platform facilitates easier development, maintenance, and optimization of alignment algorithms.