Advanced Neurogenomics

Prova orale

PhD

1.       A primer on regulation of gene expression and statistical considerations
2.       RNA-seq: how it works
3.       Sequence quality control and mapping algorithms
4.       Detection of differential gene expression
5.       Clustering and other methods to reduce dimensionality
6.       Analysis of differential expression using DESeq2
7.       Gene Ontology and Gene Set Enrichment
8.       Analysis of GO terms and pathways using WebGestalt
9.       Network analysis
10.       Applications of network analysis to the brain
11.       Cell-specific transcriptome analysis in the brain
12.       Single-cell RNA-seq, methods and analysis 
13.       Single-cell RNA-seq, applications to the nervous system
14.       Methods for spatial transcriptomics
15.       Analysis of microRNAs and RNA immunoprecipitation 
16.    ,  Proteome analysis by mass-spectroscopy 
17.       Analysis of synaptic proteome
18.       Analysis of nascent proteins and RNAs
19.       Epigenetic analysis: DNA methylation and ChIP-seq
20.       Examples of epigenetic studies in the nervous system

Cellerino & Sanguanini "Transcriptome analysis" Ed. Scuola Normale