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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

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Excemplify: a flexible template based solution, parsing and managing data in spreadsheets for experimentalists.

Lei Shi¹, Lenneke Jong, Ulrike Wittig

¹Heidelberg Institute for Theoretical Studies (HITS), Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany. lei.shi@h-its.org

Journal of Integrative Bioinformatics

|April 4, 2013

Summary

Excemplify streamlines systems biology data sharing by enabling custom templates for experimental data. This web application reduces manual effort and errors, improving data consistency for modelers and experimentalists.

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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:

Systems biology
Computational biology
Bioinformatics

Background:

Quantitative experimental data is crucial for building mathematical models in systems biology.
Current data storage in local Excel files and manual submission processes limit public database contributions.
Manual data handling increases the risk of errors and data inconsistencies.

Purpose of the Study:

To address the limitations of manual data handling and submission in systems biology databases.
To introduce Excemplify, a web-based application for flexible and adaptable template-based data management.
To improve the collection, retrieval, and citation of experimental raw data and conditions.

Main Methods:

Development of Excemplify, a web-based application utilizing a template-based approach.
Allowing users to create experiment-specific content templates for different experimental stages.
Building corresponding knowledge bases for parsing experimental data.
Automatic generation of spreadsheets for subsequent stages using embedded template knowledge.

Main Results:

Standardization of data flow aligned with experimental procedures.
Significant reduction in manual effort and errors associated with data handling.
Enhanced data consistency and maintenance of meta-data context from initial manuscripts.
Interoperability with existing platforms like RightField and SEEK.

Conclusions:

Excemplify offers a flexible and adaptable solution to overcome challenges in experimental data sharing for systems biology.
The template-based approach standardizes data management, reduces errors, and improves data consistency.
Excemplify facilitates greater contribution to public databases, benefiting both experimentalists and modelers.