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CEM-designer: design of custom expression microarrays in the post-ENCODE Era
Christian Arnold1, Fabian Externbrink2, Jörg Hackermüller3
1Bioinformatics Group, Department for Computer Science, University of Leipzig, Leipzig, Germany; RNomics Group, Department of Diagnostics, Fraunhofer Institute for Cell Therapy and Immunology - IZI, Leipzig, Germany.
Journal of Biotechnology
|September 30, 2014
Summary
Designing custom expression microarrays for complex transcriptomes is challenging. CEM-Designer is a new web server that helps create sensitive and specific probes for unique target sequences, simplifying microarray design.
Area of Science:
- Bioinformatics
- Genomics
- Molecular Biology
Background:
- Custom expression microarrays are essential for monitoring specific gene expression changes.
- Recent discoveries reveal transcriptome complexity, complicating traditional microarray design.
- Pervasive transcription and alternative splicing necessitate advanced probe design strategies.
Purpose of the Study:
- To develop a web server, CEM-Designer, for designing custom expression microarrays.
- To facilitate platform-independent microarray design for complex transcriptomes.
- To address the challenges posed by intricate transcriptomic data in probe selection.
Main Methods:
- Developed CEM-Designer, a web server for custom expression microarray design.
- Implemented target sequence collection and generation from diverse sources.
- Integrated sensitive and specific probe selection algorithms.
- Ensured platform independence for microarray design.
Main Results:
- CEM-Designer provides a streamlined approach to custom expression microarray design.
- The tool facilitates the selection of optimal probes for complex transcriptomes.
- It addresses the limitations of existing methods in handling pervasive transcription and alternative splicing.
Conclusions:
- CEM-Designer simplifies the design of custom expression microarrays for complex transcriptomes.
- The developed web server aids researchers in creating effective gene expression monitoring tools.
- This facilitates more accurate gene expression studies in the face of increasing transcriptomic complexity.

