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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Published on: February 8, 2017

Magallanes: a web services discovery and automatic workflow composition tool.

Javier Ríos1, Johan Karlsson, Oswaldo Trelles

  • 1Computer Architecture Department, University of Malaga, 29080, Malaga, Spain. jriosp@uma.es

BMC Bioinformatics
|October 17, 2009
PubMed
Summary
This summary is machine-generated.

Magallanes is a Java library that discovers and connects bioinformatics web services into workflows. It aids complex data analysis by integrating diverse tools for researchers.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Software Engineering

Background:

  • The increasing number of bioinformatics web applications complicates tool discovery and integration for complex data analysis.
  • Identifying compatible tools that can work together is a significant challenge in bioinformatics data processing.

Purpose of the Study:

  • To introduce Magallanes, a Java library designed to simplify the discovery and composition of bioinformatics web services.
  • To provide a versatile solution for creating automated workflows from disparate bioinformatics tools.

Main Methods:

  • Developed Magallanes as a platform-independent Java library.
  • Implemented algorithms for discovering bioinformatics web services and their data types.
  • Enabled the connection of compatible web services into sequential processing workflows.
  • Provided both an Application Programming Interface (API) and a graphical user interface (GUI).

Main Results:

  • Magallanes facilitates the discovery of bioinformatics web services and associated data types.
  • The library enables the creation of data processing workflows by connecting compatible web services.
  • Tested on MS-Windows and Unix-like operating systems, demonstrating versatility.
  • Available as a free API for academic use with comprehensive documentation.

Conclusions:

  • Magallanes demonstrates utility and versatility in real-world installations like the National Institute of Bioinformatics.
  • The software aids in the automatic discovery and composition of bioinformatics workflows.
  • Its implementation in various clients (web, desktop, web services) highlights its adaptability and potential for integrating novel tools.