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Updated: May 10, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

GoSynthetic database tool to analyse natural and engineered molecular processes.

Chunguang Liang¹, Beate Krüger, Thomas Dandekar

¹Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, 97074 Würzburg, Germany.

Database : the Journal of Biological Databases and Curation

|July 2, 2013

Summary

GoSynthetic is a new database tool that simplifies the analysis of biological processes for synthetic biology. It integrates protein interactions and cross-links to various databases, aiding in experimental design.

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Area of Science:

Synthetic biology
Bioinformatics
Systems biology

Background:

Understanding biological processes and protein functions is crucial for synthetic biology.
Existing methods for collecting and presenting this information are often cumbersome.
Advancements in biological data require efficient analysis tools.

Purpose of the Study:

To introduce GoSynthetic, a novel database tool for analyzing biological processes.
To provide a fast and simple method for synthetic biologists to access and analyze data.
To facilitate the integration of biological and engineering concepts.

Main Methods:

Development of a hierarchical database for biological processes.
Implementation of four distinct search modes within the database.
Integration of protein interaction data, organism-specific databases (17 organisms), COG/KOG, Gene Ontology (GO), and IntAct.
Inclusion of cross-links between biological and technical/engineering terms.

Main Results:

GoSynthetic offers a user-friendly interface for analyzing biological processes.
The database currently encompasses over one million processes, proteins, COGs, and GOs.
It provides seamless switching between biological and engineering/technical terminology.
Protein interaction data and links to 17 organism-specific databases are integrated.

Conclusions:

GoSynthetic streamlines the analysis of biological processes for synthetic biologists.
The tool facilitates experimental design by integrating diverse biological and engineering data.
Its comprehensive data and search functionalities support research in synthetic biology and related fields.