Teaching staff
Organizer:
Dr. Danilo Licastro, Laboratorio Genomica ed Epigenomica, Area Science Park, Trieste –
TRIM-NET Partner Organisation 3
Teachers:
Dr. Danilo Licastro, Laboratorio Genomica ed Epigenomica, Area Science Park, Trieste
Dr. Ilaria Primerano, University of Salerno, Italy
Dr. Faris Naji, CEO at Tercen Data Analytics
Dr. Eduardo M. Sommella, University of Salerno
Description
Data science is defined as an interdisciplinary field made up of processes and systems useful
to extract knowledge or insights from data, either structured or unstructured, which is at the
intersection of statistics, computer science and domain knowledge. During the course we’ll
provides participants with an insights into the methods used to generate large datasets using
‘omics’ technologies, and some bioinformatics tools required for analysis using R and
Bioconductor. Despite the power of genomic, transcriptomic, and proteomic technologies,
most researchers do not have the necessary computational expertise to analyze or interpret
high content datasets unaided. We’ll discuss experimental design challenges of ‘omics’
analyses, including a discussion of working with high dimensional datasets and how data
analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of
discovering useful information from the collected data.
Genomics Data Analyses
1. RNA-Seq Workflow and Practical Session
2. Gene Set-‐Enrichments and Practical Session
Metabolomics and Proteomics Data Analyses
1. Metabolomics: From peaks to potential biomarkers
2. Cytofluorimetry Data Analyses and Practical Session
