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Sequence alignment in molecular biology

A Apostolico1, R Giancarlo

  • 1Department of Computer Sciences, Purdue University, West Lafayette, IN 47907, USA. axa@art.dei.unipd.it

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|July 22, 1998
PubMed
Summary

This paper surveys essential criteria and solutions for sequence alignment and comparison in molecular biology. It addresses the growing need for computational tools to analyze vast bio-sequence datasets.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Genomics

Background:

  • Molecular biology research generates massive datasets, demanding advanced computational tools.
  • Effective identification, storage, comparison, and analysis of bio-sequences are critical for scientific advancement.

Framework:

  • This work surveys widely used criteria for sequence alignment and comparison.
  • It presents corresponding computational solutions for analyzing bio-sequences.

Implementation:

  • The survey is based on the Workshop on Sequence Alignment (November 1994).
  • Content draws from presentations and literature within the DIMACS Special Year on Mathematical Support for Molecular Biology.

Implications:

  • Improved bio-sequence analysis tools are crucial for understanding biological systems.
  • This survey provides a foundation for developing more efficient algorithms in bioinformatics.

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