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A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

iTools: a framework for classification, categorization and integration of computational biology resources.

Ivo D Dinov¹, Daniel Rubin, William Lorensen

¹Center for Computational Biology, University of California Los Angeles, Los Angeles, California, United States of America.

|May 30, 2008

Summary

Computational biology advancements require better resource management. iTools is a new infrastructure managing diverse computational biology resources, including data, software, and web services, to aid researchers.

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Area of Science:

Computational Biology
Bioinformatics
Informatics

Background:

Advancements in computational biology depend on algorithms, infrastructure, and tool interoperability.
The rapid growth of computational biology tools complicates resource discovery, comparison, and integration for biologists.

Purpose of the Study:

To introduce iTools, a novel infrastructure for managing, querying, traversing, and comparing diverse computational biology resources.
To provide a centralized system for classifying, categorizing, and integrating computational biology resources across various scales and domains.

Main Methods:

iTools stores metadata for data, software tools, and web services.
It offers human and machine interfaces for searching, comparing, and mining resource metadata.
Resource browsing and display utilize an ontology and hyperbolic projections.

Main Results:

iTools manages diverse computational biology resources, including data, software, and web services.
It provides interfaces for programmatic and human access to a growing repository of resource metadata.
Demonstrated applications showcase iTools as a framework for integrated bioinformatics.

Conclusions:

iTools offers a decentralized, scalable, and open-source framework for managing computational biology resources.
It facilitates resource integration and accessibility, supporting the advancement of computational biology research.
The iTools infrastructure is publicly available for community use and development.