Results about: computational biology
An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.
The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.
p38α is a protein involved in chronic inflammatory diseases and cancer, among other pathological conditions.
Published in the journal eLife, the study provides a deeper understanding of the structure of this protein, thereby paving the way for the development of more effective inhibitors.
These findings are the result of combining fundamental biological data using computational techniques.
Registrations are open for the Barcelona International Youth Science Challenge, to take place 11-22 July.
Young scientific talent will work with IRB Barcelona scientists to learn about computational biology, big data and computer drug design.
A study, published today in the journal Nature, marks a milestone in the understanding of chronic lymphocytic leukemia (CLL)
CLL is the most frequent leukemia with more than 12,000 new cases diagnosed in Europe every year
IRB Barcelona group leader Modesto Orozco participated in the study as he is involved with the International Cancer Genome Consortium (ICGC)