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Computational Immunology

ComputationalImmunology-01

Computational Immunology

Tuesday, June 13 at FOCIS 2017 
Hilton Chicago Hotel
Chicago, Illinois

You may add Computational Immunology to your FOCIS 2017 registration or attend the course only. Please choose the appropriate link below.

FOCIS 2017 & Course          Course Only

 


Course Faculty

MagnusFontes
Dr. Magnus Fontes
Centre for Mathematical Sciences
Lund University, Sweden

deRinaldis
Dr. Emanuele de Rinaldis
Division of Cancer Studies
King's College London

 

Purpose

The course is aimed at scientists involved or interested in the use of mulit-dimensional data generated by modern genomics and proteomics technologies such as mass/flow cytometry, next-generation sequencing and microarrays. The course will also provide a better basic understanding of modern statistical and mathematical concepts necessary for their analysis and interpretation.

Target Audience

The target audience includes clinical fellows in disciplines related to immunology and translational research; fellows doing basic research with an emphasis on computational data analysis; scientists and other research and development personnel from biotechnology and pharmaceutical companies who are involved in drug target and biomarker identification programs for immunological diseases; and academic or community physicians who wish to enhance their understanding of personalized medicine concepts and computational biology.

Course Objectives

Completion of this course, will allow participants to:

  • Discuss the opportunities opened up by the use of genomics and proteomics technologies in modern immunology.
  • Describe scientific reports on analysis of multidemensional data (NGS, microarray, mass/flow cytometry data analysis).
  • Discuss basic principles, challenges and applications of bioinformatics data analysis.
  • Describe the main components, tasks and challenges of genomics-based project in a grant proposal.
  • Describe dangers connected with overfitting, multiple hypothesis testing and bias.

Course Agenda 

Tuesday, June 13
8:00am - 8:10am Course Overview and Objectives
8:10am - 9:00am Introduction to Bioinformatics and Genomics
9:00am - 10:00am Bioinformatics Approaches in Immune and Translational Research
10:00am - 10:30am Break
10:30am - 12:00pm Big Data Driven Research
12:00pm - 1:00pm Lunch
1:00pm - 1:45pm Presentation of Scientific Scenarios
Research Objectives, experimental design, analytical strategies and working plan for Case Studies
1:45pm - 3:00pm Scientific Case Study's Analysis
3:00pm - 3:30pm Break
3:30pm - 4:30pm Moderated Discussion on a Scientific Pre-selected Paper
   
Continuing Medical Education (CME)
FOCIS will not offer CME credit for any course or session at FOCIS 2017. Certificates of attendance will be available upon request.
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