Advanced Neurogenomics

Period of duration of course
Course info
Number of course hours
Number of hours of lecturers of reference
Number of hours of supplementary teaching

Type of exam

Oral exam


PhD students


  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.       Gene Ontology and Gene set enrichment
  7.       Network analysis and elements of machine learning
  8.       Applications of network analysis to the brain
  9.       Cell-specific transcriptome analysis in the brain
  10.       Single-cell RNA-seq, methods and analysis 
  11.       Single-cell RNA-seq, applications to the nervous system
  12.       Patch-seq and in situ sequencing
  13.       Analysis of microRNAs and RNA immunoprecipitation
  14.       Epigenetic analysis: techniques for DNA methylation
  15.       Epigenetic analysis: CHIP-seq 
  16.    ,  Proteome analysis by mass-spectroscopy 
  17.       Analysis of synaptic proteome
  18.       Analysis of nascent proteins and RNAs
  19.       Expression QTLs
  20.       Microbiome 

Educational aims

Aims of the course are: 1) to educate students in the critical reading of omics-based publication both for the experimental and data analysis parts 2) to illustrate how these technologies have provided novel insights into the functional organization of the nervous system and 3) to provide students with the knowledge necessary to design their own omics-based projects, perform initial data analysis and interact with bioinformaticians for more complex analysis 

Bibliographical references

Cellerino & Sanguanini "Transcriptome analysis" Ed. Scuola Normale