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Education: Bioinformatics for gene expression analysis
Submitted by Heather Vincent; posted on Tuesday, February 22, 2011
Submitter New developments in the high-throughput methods bring new challenges in data analysis and management. Error models for microarray data have been well studied, but more work is needed on appropriate methods for short-read sequence data.

Moving beyond the pre-processing steps, biological understanding requires the integration of expression data with other types of data, such as GO categories and KEGG pathways.

The University of Manchester's distance course in microarray data analysis ([link]), which runs again in March, provides practical experience in both pre-processing and in data integration. Participants will study microarray data in depth, and will also be introduced to the most recent methods for transcriptome analysis.

For those interested in learning about data integration in more depth, the microarray course is designed to link to our sister course in network analysis, Bioinformatics for Systems Biology ([link]). Bioinformatics for Systems Biology will run again in October 2011.

If you need further information, or would like to book a place on a course, please contact our office for Advanced Professional Education (ape[at]cs.man.ac.uk).

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