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DAS writeback: a collaborative annotation system.

Gustavo A Salazar¹, Rafael C Jimenez, Alexander Garcia

¹Computer Sciences Department, University of Cape Town, South Africa. gsalazar@cs.uct.ac.za

BMC Bioinformatics

|May 17, 2011

Summary

This summary is machine-generated.

The new DAS Writeback system enables domain experts to directly contribute to protein annotation within centralized biological databases. This collaborative platform enhances data curation and ensures more accurate, community-driven biological information.

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Area of Science:

Bioinformatics
Computational Biology
Genomics and Proteomics

Background:

Centralized biological databases like GenBank and UniProt integrate vast amounts of information.
Existing systems lack mechanisms for direct community participation in data curation.
The Distributed Annotation System (DAS) facilitates data integration but not annotation editing.

Purpose of the Study:

To develop a system enabling domain experts to actively participate in the curation of biological annotations.
To extend the Distributed Annotation System (DAS) with collaborative functionalities.

Main Methods:

Designed and developed DAS Writeback, a protocol extension for DAS.
Implemented DAS Writeback as extensions for both DAS servers and clients.
Incorporated community feedback and usability experiments into the system's design.

Main Results:

Successfully created DAS Writeback, a protocol extension for adding, editing, and deleting annotations.
Developed functional DAS server and client extensions incorporating the new protocol.
Validated the system's usability through experiments simulating real annotation tasks.

Conclusions:

DAS Writeback provides an effective and usable environment for community-driven protein annotation.
The system facilitates the creation and ongoing evolution of biological annotations.
Enhances collaborative curation of biological data within existing infrastructure.