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Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
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ISHAN: sequence homology analysis package.

Pratip Shil1, Niraj Dudani, Pandit B Vidyasagar

  • 1Biophysics Laboratory, Department of Physics, University of Pune, Pune- 411007, India.

In Silico Biology
|February 6, 2007
PubMed
Summary

ISHAN is a new JAVA application that speeds up protein homology analysis by integrating multiple sequence analysis tools. This tool aids in evolutionary tracing and classification, reducing manual intervention for large datasets.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Sequence-based homology studies are crucial for evolutionary tracing and protein classification.
  • The proteomics era demands rapid analysis of vast biological sequence data.
  • Existing methods often require significant manual intervention and time.

Purpose of the Study:

  • To develop a fast and efficient homology analysis package for biological sequences.
  • To integrate multiple established sequence analysis tools into a single user-friendly application.
  • To reduce manual intervention in analyzing large-scale biological sequence data.

Main Methods:

  • Developed ISHAN, a JAVA-based homology analysis package.
  • Integrated tools include FASTA, ALIGN, CLUSTALW, PHYLIP, and CODONW.
  • Applied ISHAN to phylogenetic analysis of Caspase 3 DNA and NF-kappaB p105 amino acid sequences.

Main Results:

  • ISHAN significantly accelerates homology analysis.
  • The integrated approach reduces the need for manual intervention.
  • Phylogenetic analysis of Caspase 3 and NF-kappaB p105 sequences was successfully performed.

Conclusions:

  • ISHAN provides a speedy and efficient solution for homology analysis in the proteomics era.
  • The integrated platform streamlines evolutionary tracing and protein classification.
  • This tool is valuable for researchers dealing with large biological sequence datasets.