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Related Experiment Video

Updated: Jul 2, 2026

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

PathCase: pathways database system.

Brendan Elliott¹, Mustafa Kirac, Ali Cakmak

¹Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH 44106, USA.

Bioinformatics (Oxford, England)

|August 30, 2008

Summary

This summary is machine-generated.

PathCase is a web-based system for storing, querying, visualizing, and analyzing metabolic pathways. It offers new features for scalability, interactive visualization, and advanced pathway analysis for biological research.

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Area of Science:

Bioinformatics
Systems Biology
Computational Biology

Background:

Biological pathways are crucial for understanding cellular mechanisms and genomic entity roles.
Web accessibility and queriability of pathway data are essential for advancing biological research.

Purpose of the Study:

To introduce the enhanced features of PathCase, a system for metabolic pathway management.
To provide a scalable, interactive, and user-friendly platform for pathway analysis.

Main Methods:

Development of a new scalable web-based architecture with server-side and client-side components.
Implementation of an interactive client-side visualization tool with integrated gene and organism viewers.
Integration of advanced and built-in querying capabilities for pathway data.
Inclusion of a pathway functionality analysis tool.

Main Results:

PathCase now offers a scalable, adaptable web system for diverse pathway databases.
An interactive visualization tool with gene and organism viewers is available.
Dual querying interfaces cater to both expert and novice users.
Pathway functionality analysis is integrated into the system.
PathCase supports KEGG, literature, and BioCyc human pathway datasets.

Conclusions:

PathCase provides a comprehensive solution for storing, querying, visualizing, and analyzing metabolic pathways.
The enhanced features facilitate biological research by improving data accessibility and analytical capabilities.
The system's flexibility and user-friendly design support a wide range of users and datasets.