News – ITN CONTRA

Barcelona June 2019 meeting has completed

2019-09-092019-09-09 webmaster

We thank all speakers and participants for a rewarding conference! See /online-lectures for recorded lectures and tutorials!

Lectures available from the Models of Evolution Workshop in Barcelona, 2019

2019-06-182019-06-18 webmaster

Mar Albà. De novo proteins in evolution and disease. Niko Beerenwinkel. The intra-tumor phylogeny problem. Francesca Ciccarelli. Systems biology to […]

Student projects from Agile Bioinformatics workshop now complete

2019-06-04 webmaster

Ardigen hosted the Agile Bioinformatics for Agile Science workshop in Krakow, Poland in February 2019. The training continued in collaborative […]

Cancer Biology and Treatment – Workshop in Cambridge, September 2-6, 2019

2019-05-28 webmaster

Registration for our workshop is open. Read more: https://itn-contra.org/cancer-biology-and-treatment-workshop-in-cambridge-2019/

Ewa Szczurek – Introduction to probabilistic graphical models part 2

2019-05-28 webmaster

Ewa Szczurek – Introduction to probabilistic graphical models part 1

2019-05-28 webmaster

Nicholas McGranahan – Lung Cancer Evolution and Immune Escape

2019-05-28 webmaster

Carlo Maley – Evolutionary Approaches to the Big Questions in Cancer

2019-01-032018-12-21 webmaster

Alexandra Chloé‐Villani – Unraveling new insights into human immune system landscape one cell at the time

2019-01-022018-12-21 webmaster

Jan Korbel – Single cell & big data approaches to understanding genome variation in normal individuals & disease

2018-12-312018-12-21 webmaster

About

CONTRA (Computational ONcology TRaining Alliance) is an EU funded Innovative Training Network consisting of 8 principal investigators from equally many major European universities as well as partners from pharmaceutical, biotech-start up, and software development companies.

CONTRA is training 15 PhD students in computational cancer research and professional software development, for analysis of novel types of experimental data, such as single-cell genomics data. Students and supervisors are located at the participating universities.