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Updated: Mar 5, 2026
09:40
Novel Sequence Discovery by Subtractive Genomics
Published on: January 25, 2019
9.2K
Shetti, a simple tool to parse, manipulate and search large datasets of sequences
1Dalian Institute of Chemical Physics, CAS, Dalian, PR China.
Microbial Genomics
|March 29, 2017
Summary
Shetti is a user-friendly bioinformatics tool designed to help biologists parse, search, and manipulate large protein and gene sequence datasets. It simplifies complex data analysis for researchers without extensive programming experience.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
- Proteomics
Background:
- Experimental biologists and microbiologists often face challenges processing extensive protein or gene sequence data.
- A lack of bioinformatics and programming expertise can hinder the analysis of large sequence datasets.
Purpose of the Study:
- To introduce Shetti, a versatile and user-friendly tool for parsing, manipulating, and searching large datasets of protein and gene sequences.
- To provide a solution for researchers needing to analyze sequence data without advanced computational skills.
Main Methods:
- The Shetti tool parses UniProt Knowledgebase and NCBI GenBank flat files.
- It enables searching for specific sequences, species, proteins/genes, or patterns/motifs.
- The tool can construct universal consensus sequences or molecular signatures based on protein physical characteristics.
Main Results:
- Shetti offers a simple and efficient method for handling large volumes of long and multiple sequences.
- It facilitates data visualization by presenting parsed information in a table format.
- The tool supports diverse search functionalities within sequence datasets.
Conclusions:
- Shetti empowers biologists and microbiologists by simplifying complex sequence data analysis.
- The tool enhances research efficiency and accessibility in genomics and proteomics.
- It serves as a valuable resource for researchers seeking to extract meaningful information from large sequence databases.
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