Event information

Information

Title	The eLearning course for Food Microbial Bioinformatician - Module 2: Bioinformatics pathway (FULL)
Type	Fad e-learning (FAD)
Provider	IZS dell'Abruzzo e del Molise "G. Caporale"
Edition	1
ECM event	No

Municipality / foreign state of development	-
Place of delivery	-
Starting date	29/03/2021
Ending date	15/12/2021
Participation fee	-

Course introduction

This module provides with an introduction to programming languages and to WGS data, deals with the various phases of the Dry Lab, as WGS data and comparative analysis, and related bioinformatic tools. Units: 2.1 Priming on Linux 2.2 WGS data 2.3 Data analysis 2.4 Visualization tools Duration: 300 hours

Learning objectives

Learning objectives	Acquisire competenze per l'analisi e la risoluzione dei problemi nei vari contesti Acquisire conoscenze teoriche e aggiornamenti

Job profiles

Veterinario - Tutte le discipline
Biologo - Biologo
Medico chirurgo - Tutte le discipline
Tecnico sanitario di laboratorio biomedico - Tecnico sanitario di laboratorio biomedico

Scientific coordinators

Surname and Name	Qualifications	Job Profile
Pomilio Francesco	Reparto Igiene e Tecnologie degli Alimenti	Veterinario Dirigente Responsabile

Tutors' panel

Surname and Name	Role	Job Profile	Discipline (or qualification)	Substitute
Di Pasquale Adriano	Docente / Esperto di contenuto FAD e-learning	Altre professioni	Not specified	N/A
Mangone Iolanda	Docente / Esperto di contenuto FAD e-learning	Biologo	Biologo	N/A
Rinaldi Antonio	Docente / Esperto di contenuto FAD e-learning	Altre professioni	Not specified	N/A
chiaverini alexandra	Docente / Esperto di contenuto FAD e-learning	Veterinario	Igiene, prod, trasf, commercializ conserv e trasporto alimenti di origine animale e derivati	N/A
Radomski Nicolas	Docente / Esperto di contenuto FAD e-learning	Altre professioni	Not specified	N/A
DI MARCANTONIO LISA	Docente / Esperto di contenuto FAD e-learning	Biologo	Biologo	N/A
Garofolo Giuliano	Docente / Esperto di contenuto FAD e-learning	Veterinario	Sanità animale	N/A
Torresi Marina	Docente / Esperto di contenuto FAD e-learning	Biologo	Biologo	N/A
KRASTEVA IVANKA MARINOVA	Docente / Esperto di contenuto FAD e-learning	Altre professioni	Not specified	N/A
LUCIANI MIRELLA	Docente / Esperto di contenuto FAD e-learning	Biologo	Biologo	N/A

Summary of the programme

Unit	Contents
Unit 2.1	Priming on Linux
Learning objectives	At the end of the unit, the student will know: Linux computing environment and programminglanguages how to use existing tools to solve common bioinformaticsproblems how to reformat data with regularexpressions how to use program like grep and cat to handle text files through Unix commandlines how to carry out combining and automatinganalyses how to install software on own pc and relativedependancies how to work on remotecomputers basic programming with UNIX andPython how to manage adatabase
Topics	Index Intro Introduction to Linux information system Introduction to Shell Text files management Installing software Working on remote computers Programming with Unix and Python

	Database management system. Basic concepts In depth contents Summary Test
Unit 2.2	WGS data
Learning objectives	At the end of the unit, the student will know: several outputs and formats of the WGSdata how to manipulate information anddata how to download a sequence from publicdatabases
Topics	Index Intro Data format Data storage Access to public databases In depth contents Summary Test
Unit 2.3	Data analysis
Learning objectives	At the end of the unit, the student will know principles and tools: for quality assessment andtrimming forassembly for alignment or sequencesearching formapping for assemblyrefinement for assembly statistics and qualityassessment for species and subtypingidentification forannotation for virulence geneprediction for antimicrobial resistancegenes for variantcalling for phylogeneticanalysis

	for comparative genomictools for 16S dataanalysis for shotgun dataanalysis for trascriptomics dataanalysis for proteomics dataanalysis
Topics	Index Intro WGS Data analysis Comparative analysis Metagenomics Data analysis Transcriptomics data analysis Proteomics data analysis In depth contents Summary Test
Unit 2.4	Visualization tools
Learning objectives	At the end of the unit, the student will be able to use several programs for visualisation of analysis outputs
Topics	Index Intro Several programs for visualization of analysis outputs In depth contents Summary Test

Detailed information

Language	English
Simultaneous translation	No
Learning materials	Nessuno
Learning assessment procedures	Questionario con quesiti a scelta quadrupla con singola risposta esatta
Total training length (hh:mm)	300:00
Minimum attendance	90%