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Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

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Published on: August 5, 2022

DASMiner: discovering and integrating data from DAS sources.

Diogo F T Veiga¹, Helena F Deus, Caner Akdemir

¹Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd Houston, TX 77030, USA. dveiga@mdanderson.org

BMC Systems Biology

|November 19, 2009

Summary

DASMiner is a new Matlab toolkit that simplifies querying biological databases. It enables integrated biological model creation by accessing distributed data sources through the Data Access Protocol (DAS).

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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

Area of Science:

Bioinformatics
Computational Biology
Data Integration

Background:

The Data Access Protocol (DAS) facilitates syntactic interoperability among biological databases via RESTful interfaces.
The increasing number of DAS services necessitates advanced data discovery and integration methods.
Exploring the DAS protocol can enhance data access and analysis for molecular biology resources.

Purpose of the Study:

To develop a toolkit for querying DAS data sources.
To enable the creation of integrated biological models from distributed data.
To simplify data gathering and analysis from multiple DAS-compliant repositories.

Main Methods:

Development of DASMiner, a Matlab toolkit comprising a browser application and an API.
The browser allows intuitive query formulation and navigation of DAS sources, adapting to source-specific metadata.
The API facilitates programmatic access to DAS sources within Matlab applications.

Main Results:

DASMiner enables users to query diverse DAS sources without needing specific syntax knowledge.
The toolkit facilitates the creation of enriched datasets by integrating information from multiple sources.
Illustrative examples include the creation of integrative models for histone modification maps and protein-protein interaction networks.

Conclusions:

The DAS protocol unifies numerous molecular biology databases into a federated online resource.
DASMiner provides comprehensive exploration capabilities for these resources.
The toolkit supports application deployment and the creation of integrated biological system views.