expression analysis

Jun
22
Jun/22 09:15 - Jun/26 17:00
Erasmus MC, OWC-22 (Computerroom 22, Onderwijscentrum) Rotterdam, The Netherlands

Gene expression data analysis using R: How to make sense out of your RNA-Seq/microarray data

Five days hands-on computer course for biological and clinical researchers whose research involves experiments that generate gene expression data. The course focuses on microarray and next-generation sequencing gene expression data, but some concepts may be applicable to other types of genomics data. Most of the speakers (and therefore examples) have a biomedical background. Software packages used are freeware, including the statistical software R, Bioconductor, Cytoscape and web tools. The total number of participants is limited to 40.

MAM-pipeline

Monoallelic gene expression is typically initiated early in the development of an organism. Dysregulation of monoallelic gene expression has already been linked to several non-Mendelian inherited genetic disorders. In humans, monoallelic DNA-methylation (MAM) is deemed to be an important regulator of monoallelic gene expression, but only few examples are known. One important reason is that current, cost-affordable truly genome-wide methods to assess DNA-methylation are based on sequencing post enrichment.

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