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Advanced Neurogenomics


Tuesday, 3 November 2020 to Thursday, 4 March 2021
Total hours: 40
Hours of lectures: 40

Examination procedure

  • 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
    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 Goals

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