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The ITS2 Database
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Intelligent Access to Sequence and Structure Databases (IASSD) - an interface for accessing information from major

Sayak Ganguli1, Manoj Kumar Gupta1, Protip Basu1

  • 1DBT Centre for Bioinformatics, Presidency University, Kolkata - 73.

Bioinformation
|February 12, 2015
PubMed
Summary
This summary is machine-generated.

Intelligent Access to Sequence and Structure Databases (IASSD) is a desktop application that simplifies data retrieval from biological databases. It helps users interpret complex query results, improving the knowledge discovery process.

Keywords:
IASSDNCBIPDBWSDLconditional editing

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Big data and high-throughput technologies increase the importance of efficient data access.
  • Users struggle to interpret query results from biological databases, especially with non-specific keywords.
  • Intelligent Access to Sequence and Structure Databases (IASSD) addresses these challenges.

Purpose of the Study:

  • To develop a user-friendly desktop application for accessing biological sequence and structure databases.
  • To enhance the interpretation of query results for researchers.
  • To facilitate the knowledge discovery process in big data environments.

Main Methods:

  • IASSD is a Java-based desktop application for Windows.
  • It utilizes Web Service Description Language (WSDL) and JAR files for E-utilities.
  • Integrates with National Center for Biotechnology Information (NCBI) and Protein Data Bank (PDB) databases.
  • Incorporates JMOL for interactive protein structure visualization and conditional editing.

Main Results:

  • Provides an intuitive interface for querying biological databases.
  • Improves the deciphering of complex query results.
  • Enables direct visualization and manipulation of protein structures.

Conclusions:

  • IASSD enhances data accessibility and interpretation in bioinformatics.
  • The application supports efficient knowledge discovery from large biological datasets.
  • Facilitates a more streamlined workflow for researchers working with sequence and structure data.