B2SLab is currently studying the impact of intense running on the immune system through several Bioinformatics approaches. What makes it more exciting is that the research aims to identify which genes… Read more »
Sequence Information Gain based Motif Analysis (SIGMA) is a novel methodology based on information theoretic metrics for finding regulatory sequences in promoter regions. This new approach aims at a trade-off between… Read more »
The MAIT package for analysing LC/MS Metabolomic data, as discussed in a previous post, was published in a collaboration between the B2SLab and the Nutrimetabolomics lab in the Oxford Bioinformatics journal: Fernández-Albert F,… Read more »
The performance experienced by medicine in recent years could not be explained without the role of new technologies. Specifically, medical technologies have played an important role in understanding the mechanisms… Read more »