Omics

Doelstellingen van dit vak

The learning objectives of this course are: • To know and understand commonly used technologies for genomics applications: o DNA/cDNA microarrays o Next generation sequencing/ Massive parallel sequencing § Whole-genome and whole-exome § RNA § Bisulfite-based § In combination with immunoprecipitation • To know and understand commonly used applications of high- throughput biological profiling, including o Genetics / Genetic variation o Comparative genomics o Transcriptomics o Epigenomics o Metabolomics o Proteomics o Microbiomics • To understand and be able to apply the initial processing steps required to prepare high-throughput data for statistical or biological analysis • To understand and apply the statistical methods used for analysis of high-throughput data • To be able to apply and understand the results of overrepresentation analysis methods, including: o Pathway analysis o Gene Ontology analysis • To know other methods used for further data processing: o Clustering-based methods o Correlation-based methods o Classification-based methods o Network analysis-based methods • To be able to describe how multiple types of omics data can be brought together and commonly analysed to increase biological understanding • To be able to find repositories for omics data and to use retrieved data and meta-data for integrative or comparative analysis • To be able to give the possibilities and limitations and the advantages and disadvantages of: o Genomics technologies o Applications of high-throughput biological profiling o Pre-processing and statistical methods for processing of high- throughput data o Analysis methods for further processes and biological interpretation of the results • To be able to describe real use cases for each of the applications studied • To be able to design an experiment tuned to answer a specific biological question, using –omics technologies