MIMOmics has developed several methods for the analysis of (multiple) omics datasets. For many methods code has been made available our MIMOmics github (https://github.com/mimomics). For some methods user-friendly R packages, Java interfaces, Python libraries or programs in C++ have been developed. For other methods just code has been made available (see here).
How methods for data analysis improve the lives of John and Suzy. This animation shows why multiple datasets should be used together to predict outcomes. The MIMOmics consortium develops the necessary methods.
The Volume 1 of the MIMOmics serie of ebooks now available for download here
We are organizing the Research MIMOmics Summer School in Cambridge (20th -27th August).
For information and application see here.
The summer school consists of 3 parts:
• A set of introductory lectures will guide the students in omics and statistical technologies.
• State of the art epidemiology methods and bioinformatics applications will be given by scientists during the Dissemination Workshop of MIMOmics.
• Hands-on training and research projects will be provided for small groups of students (2-4). Students will be able to choose from a series of research projects.
It is intended to train a new generation of statistical omics scientists of the biological and technological background for data measurements and for data analysis methodologies. The target group of applicant is from last year of Bachelor to 1st-2nd year of PhD.
Georgios Bartzis (PhD student, LUMC) won the “Best Student Paper Award” at 9th EMR-IBS and Italian Region conference, Thessaloniki, 8-12 May 2017. The title was: “Estimating metabolite networks subject to dietary preference in the longitudinal setting”. Congratulations!