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  • Course: Proteomics using R/Bioconductor

    Dear all,



    registrations are now open for our course "R/Bioconductor for Mass Spectrometry and Proteomics".



    Where: Free University (FU) Berlin (Germany)



    When: 17th-19th February 2020



    Instructor: Dr. Laurent Gatto (de Duve Institute, UCLouvain, Belgium)



    Course website: https://www.physalia-courses.org/cou...hops/course58/



    Registration deadline: 15th January 2020


    Overview



    This course will introduce participants to the analysis and exploration of mass spectrometry (MS) based proteomics data using R and Bioconductor. The course will cover all levels of MS data, from raw data to identification and quantitation data, up to the statistical interpretation of a typical shotgun MS experiment and will focus on hands-on tutorials. At the end of this course, the participants will be able to manipulate MS data in R and use existing packages for their exploratory and statistical proteomics data analysis.




    Target audience and assumed background



    The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R and Bioconductor to analyse proteomics data. Familiarity with MS or proteomics in general is desirable, but not essential as we will walk through and describe a typical MS data as part of learning about the tools. Participants need to have a working knowledge of R (R syntax, commonly used functions, basic data structures such as data frames, vectors, matrices and their manipulation). Familiarity with other Bioconductor omics data classes and the tidyverse syntax is useful, but not required.


    Program

    Monday - Classes from 9:30 to 17:30



    During the first day, we will focus on raw MS data, including how mass spectrometry works, how raw MS data looks like, MS data formats, and how to extract, manipulate and visualise raw data.





    Tuesday- Classes from 9:30 to 17:30



    The second day will focus in identification data, how to combine them with raw data, quantitation of MS data, and introduce data structure of quantitative proteomics data





    Wednesday- Classes from 9:30 to 17:30



    The last day will focus on quantitative proteomics, including data structures, data processing, visualisation statistical analysis to identify differentially expression proteins between two groups.





    For the full list of our courses and Workshops, please see: https://www.physalia-courses.org/courses-workshops/



    All the best,

    Carlo





    --------------------

    Carlo Pecoraro, Ph.D


    Physalia-courses DIRECTOR

    [email protected]

    Physalia-courses provides scientific training courses and Workshops in Bioinformatics, Genomics, and related fields, promoting the transfer of new methods and emerging techniques to a broad range of researchers. Our goal is to build a knowledge-sharing platform between highly qualified instructors and participants at various stages of their scientific and academic careers (e.g. Ph.D. students, post-doctoral researchers, PIs).


    Twitter: @physacourses

    mobile: +49 17645230846

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