Training courses 2017: Elixir-IIB/NETTAB Tutorial on Biological Networks: data analysis, visualization and medical application

IMPORTANT DATES

Course date: 18-19 October 2017
Deadline for applications:
- early registration: September 23, 2017
- on-line registration: October 8, 2017

A maximum of 25 candidates will be accepted in the course. Priority will be given to NETTAB workshop participants on a first-come/first-served policy. For the participants ONLY to the tutorials, those with an adequate profile will be accepted immediately, especially if they come from other countries (to allow them to find reasonably cheap flight tickets).

PLEASE REGISTER HERE

VENUE: Istituto di Calcolo e Reti ad Alte Prestazioni (ICAR-CNR) of the Italian National Research Council, via Ugo La Malfa, 153, Palermo, Italy.

FEE: no fee

Instructors

Luana Licata - Bioinformatics and Computational Biology Unit - Molecular Genetics Laboratory - Dept. of Molecular Biology, University of Rome Tor Vergata, Italy.
Alberto Calderone - Bioinformatics and Computational Biology Unit - Molecular Genetics Laboratory - Dept. of Molecular Biology, University of Rome Tor Vergata, Italy.
Inna Kuperstein - Computational Systems Biology of Cancer group, Institut Curie, Paris, France.

Organisers

Luana Licata (ELIXIR-IIB Training Team and University of Rome Tor Vergata, Italy)
Alberto Calderone (University of Rome Tor Vergata, Italy)
Inna Kuperstein (Institut Curie, Paris, France)
Allegra Via (ELIXIR-IIB Training Coordinator, IBPM-CNR, Italy)

Course Description

Participants in the course will be introduced to protein-protein interactions, biochemical reactions and causal interactions field. During the course the participants will be exposed to the literature curation principles and methods. In addition, there will be a session dedicated to common standards and ontologies adopted to describe data retrieved from the literature in a formalized manner. A large number of molecular interaction resources and methodologies to analyze them will be introduced during hand-on sessions.

Participants will get a general understanding of network construction, data analysis and modelling in bio-medical research. In particular, participants will be involved in hands-on session where they will be asked to analyse a dataset in the context of network analysis and modelling. Students will develop an understanding not only on static networks but also on discrete and continuous dynamical networks and how to simulate basic systems in order to derive meaningful information related to cancer.

The opening and closing lectures will be open and free to everyone but require application. Practical sessions are limited to 25 participants.

Target audience

PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.

Learning objectives/outcomes

Participants will gain an understanding of:

protein interaction, biochemical reactions networks and pathway resources
tools and standards for literature curation and network construction
methods of network-based data analysis
different approaches of mathematical modeling of networks

They will also learn:

how to perform biological network reconstruction, visualization, and analysis
how to integrate and visualize multi -omics data
how to perform pathways enrichment
applications in bio-medical research

Course prerequisites

Knowledge of the following concepts: proteins, protein-protein interactions, pathways, ignaling data. Basic computer skills

Programme

Wednesday 18th Oct 2017
14:00-14:50	Course opening	Participants’ self-presentations
14:50-15:05	Opening lecture	L. Licata	Course Introduction
Session 1: Protein interaction networks and pathway resources
15:05-15:25	Lecture	L. Licata	IMEx Resources
15:25-15:45	Coffee break
15:45-16:15	Lecture	L. Licata	Pathways resources: SIGNOR and Reactome
16:15-16:45	Lecture	A. Calderone	Introduction to Biological networks
16:45-18:00	Practical	A. Calderone and L. Licata	How and where to collect data to build networks
Thursday 19th Oct 2017
Session 2: Analyzing biological networks to understand human disease
09:00-09:30	Lecture	A. Calderone	Modelling biological system: static, discrete and continuous
09:30-11:00	Practical	A. Calderone	Static Networks and Boolean Networks (Cytoscape and GINsim)
11:00-11:20	Coffee break
Session 3: From network construction to data analysis and interpretation in cancer
11:20-11:50	Lecture	I. Kuperstein	Tools and standards for network construction
11:50-13:00	Practical	I. Kuperstein	Network construction using standards: small example of texts from different papers on signalling that have to be represent in a form of network in CellDesigner
13:00-14:00	Lunch
14:00-14:20	Lecture	I. Kuperstein	ACSN as cancer signaling encyclopedia
14:20-14:40	Lecture	I. Kuperstein	RECON2 as metabolic pathways resource
14:40-15:00	Lecture	I. Kuperstein	NaviCell and NaviCom
15:00-15:30	Practical	I. Kuperstein	Data visualization and analysis in the context of network (ACSN and RECON2): perform enrichment test in NaviCell, visualize multi-level omic data, compare samples, groups, retrieve deregulated processes
15:30-15:50	Coffee Break
15:50-16:10	Lecture	I. Kuperstein	Tools for network manipulation (BiNoM)
16:10-16:50	Practical	I. Kuperstein	Structural analysis of network in BiNoM: perform path analysis, model reduction, network of modules, network merging using small example network
16:50-17:10	Closing Lecture	I. Kuperstein	Networks applications in cancer medicine
17:10-17:30	Wrap-up and feedback