Computational and Quantitative Biology PhD

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    Raoul J.P. Bonnal - Single cell omics leverage Machine Learning to dissect tumor microenvironment and cancer immuno editing

    Seminars
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    12
    Date: Thursday, 2nd December 2021 10:30

    Venue: Hybrid

    ABSTRACT

    The development of a solid tumor is accompanied by the establishment of a peculiar environment which sustains the tumor grow, the so called “tumor micro-environment”. This environment is populated by many cell types such as cancer, immune, stromal and many other types which tightly communicate and interact. The single cell technologies offer unprecedented opportunities to extract omics and geographical information from the original tissue.

    Cutting edge bioinformatics tools embeds machine learning approaches to make it possible inferring relationships and discovering patterns from the ensembles of players represented in the tumor microenvironment.

    Exploitation of this information can provide new insights on cancer progression and ultimately lead to the development of novel therapeutic opportunities.

    The seminar will give an introduction on sequencing technologies, focusing on single-cell both at omics and spatial transcriptomic level. Will follow, a walkthrough a recently published paper from our group, showing how we exploited and interpreted single cell data and the actual analysis pipeline. During the seminar many tools, relying on machine learning approaches, are discussed to understand when to use them and why. At the end, the seminar will present the spatial transcriptomics technology showing how to integrate this layer of information with “traditional” RNA-seq data and extract pattern and interpret the

    results.

    The seminar is also an occasion to discuss about reproducibility and the challenges that arise when many people are collaborating to the the analytical process.

     

    SPEAKER

    Raoul J.P. Bonnal, is a senior staff bioinformatician and head of data science in the laboratory of Prof. Massimiliano Pagani in IFOM. Computer scientist, since 2005 expert in NGS technologies and data analysis generated with different "omics" technologies: genomics, epigenomics and transcriptomics. In recent years he has focused on the analysis of single cell data and in the use and customization of IT tools aimed at improving their interpretation and communication. He has been involved in several international initiatives aimed at promoting Open Source practices such as eg. Google Summer of Code.

    Recently he participates as software engineer in the project "The explorer of cancer cells ”, promoted by AIRC and Vodafone, hosted in the citizen-science platform DreamLab, recoding scientific algorithms so that they can work on Android and iOS mobile devices.

     

    FOR INFORMATION

    Prof. Anna Corazza DIETI, UniNA, tel. 081 679273 – This email address is being protected from spambots. You need JavaScript enabled to view it.

     

     

    WHERE

    “Aula L”, 2nd Floor, Piazzale Tecchio Building

    Teams code: qknzs5d

     

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    All Dates


    • Thursday, 2nd December 2021 10:30

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