CONTENTS
Brief review of molecular biology (DNA, RNA, proteins, metabolites, regulations, genetics and evolution (human genome, inheritance, polymorphisms, evolution), cell biology, physiology and diseases (cells, tissues, organs, diseases)
DNA technologies and high throughput measurements (milestones, Next generation sequencing technologies and their mechanisms, how platforms work)*
Brief introduction of Bioinformatics and statistics
Computational analysis of gene expression (Array and RNA-seq data, DEG – MAQC/SEQC, supervised and unsupervised analysis, ontology and pathway analysis, probably 2-3 sessions)*
Computational analysis of polymorphisms (GWAS)
Computational analysis of genome sequencing data*, including
- de novo sequencing and assembling for genome（case study with bacterial genome & virus）
- Genome resequencing and data analysis (with case study, i.g. CNV)
Computation in clinical research (nature vs nurture, correlation vs causal effect, diagnostics and treatments, exposome, integration of multi-dimensional measurements, etc)*
RNA-Seq and data analysis (including transcriptome, microRNA, small RNA discovery and screening、alternative splicing detection、gene fusion、ncRNA，etc)
Gene regulation (ENCODE, Epigenomics, 1000 Genomes)
Pharmacogenomics (PharmGKB, DMET, drug repurposing, case studies for clinical applications)
Proteomics and metabolomics
Systems biology
Practice sessions with real datasets, we will have computers for all the participating students to practice the related projects.