Dashboard

This five-day comprehensive and intensive course covers the entire spectrum of bioimaging, starting from the fundamental basics of optical microscopy, instrumentation, specimen preparation, molecular markers, right up to the most recent and revolutionary development in bioimaging and bioimage data analysis, including Artificial Intelligence (AI) based analysis. The course is designed for both novice researchers and as well as those having some previous experience with microscopy and its applications.  The course is composed of interactive lecture series to cover the theory of optical microscopy and its different modalities and applications. During the hands-on practical sessions, participants will have the opportunity to exercise on different types of light microscopes provided by the sponsors, CRG Training & Academic office. The advanced fluorescence and super-resolution microscopy hands-on practicals will be held at the Advanced Light Microscopy Unit (ALMU). Samples will be provided by ALMU and Argolight. Participants would also be able to bring their own samples if they wished to do so, following prior arrangement with the course organizers. Following the bioimage data management and analysis block, participants will have the opportunity to practice bioimaging processing and analysis, including AI-based bioimage analysis tools. At the end of each day, participants will have the chance to put their knowledge to the test with a quiz covering the day's lessons. Prizes will be awarded to the top three scorers, adding an exciting incentive to engage fully in the learning experience.

he Open Microscopy Environment (OME) is an open-source software project that develops tools to enable access, analysis, visualization, sharing and publishing microscopy data. OMERO, a component of OME, is a client-server software, designed to efficiently manage, visualize and analyze microscopy images and associated metadata.

This hands-on course is designed for bioinformatitians who want to start using containers and Nextflow pipelines to achieve reproducibility of data analysis. Linux containers allow the storage of code and applications in an host-independent lightweight environment. They became a fast and popular way to share and deploy applications in different environments. Nextflow is a powerful polyglot workflow language that, coupled with Docker and Singularity containers, provides a robust, scalable and reproducible way to run computational pipelines.

Different targeted proteomics strategies have emerged in the field of proteomics that enable the detection and quantification of subsets of proteins with a high degree of sensitivity and reproducibility across many samples. This EMBO Practical Course aims to fill in the gap between theory and the actual implementation of the targeted proteomics workflow, so that by the end of the week the students have the necessary know-how to implement different targeted proteomics workflows in their own research laboratories. The course will offer a daily keynote talk, followed by lectures and practical demonstrations, as well as practical work and exercises that will cover the complete workflow for experimental design and data analysis of targeted proteomics assays (i.e. targeted method design, optimization of instrument settings, manual and automated quantitative analysis, and statistical analysis of the data). Moreover, the course will host virtual poster sessions and social events to introduce informal discussion and adapt the technology to each participant's particular interests.

 

Different targeted proteomics strategies have emerged in the field of proteomics that enable the detection and quantification of subsets of proteins with a high degree of sensitivity and reproducibility across many samples. This EMBO Practical Course aims to fill in the gap between theory and the actual implementation of the targeted proteomics workflow, so that by the end of the week the students have the necessary know-how to implement different targeted proteomics workflows in their own research laboratories. The course will offer a daily keynote talk, followed by lectures and practical demonstrations, as well as practical work and exercises that will cover the complete workflow for experimental design and data analysis of targeted proteomics assays (i.e. targeted method design, optimization of instrument settings, manual and automated quantitative analysis, and statistical analysis of the data). Moreover, the course will host virtual poster sessions and social events to introduce informal discussion and adapt the technology to each participant's particular interests.

Different targeted proteomics strategies have emerged in the field of proteomics that enable the detection and quantification of subsets of proteins with a high degree of sensitivity and reproducibility across many samples. This EMBO Practical Course aims to fill in the gap between theory and the actual implementation of the targeted proteomics workflow, so that by the end of the week the students have the necessary know-how to implement different targeted proteomics workflows in their own research laboratories. The course will offer a daily keynote talk, followed by lectures and practical demonstrations, as well as practical work and exercises that will cover the complete workflow for experimental design and data analysis of targeted proteomics assays (i.e. targeted method design, optimization of instrument settings, manual and automated quantitative analysis, and statistical analysis of the data). Moreover, the course will host virtual poster sessions and social events to introduce informal discussion and adapt the technology to each participant's particular interests.

This slow-paced hands-on course is designed for absolute beginners who want to start using containers and Nextflow pipelines to achieve reproducibility of data analysis. Linux containers allow the storage of code and applications in an host-independent lightweight environment. They became a fast and popular way to share and deploy applications in different environments. Nextflow is a powerful polyglot workflow language that, coupled with Docker and Singularity containers, provides a robust, scalable and reproducible way to run computational pipelines.

Different targeted proteomics strategies have emerged in the field of proteomics that enable the detection and quantification of subsets of proteins with a high degree of sensitivity and reproducibility across many samples. This EMBO Practical Course aims to fill in the gap between theory and the actual implementation of the targeted proteomics workflow, so that by the end of the week the students have the necessary know-how to implement different targeted proteomics workflows in their own research laboratories. The course will offer a daily keynote talk, followed by lectures and practical demonstrations, as well as practical work and exercises that will cover the complete workflow for experimental design and data analysis of targeted proteomics assays (i.e. targeted method design, optimization of instrument settings, manual and automated quantitative analysis, and statistical analysis of the data). Moreover, the course will host virtual poster sessions and social events to introduce informal discussion and adapt the technology to each participant's particular interests.

New flow cytometry strategies allow researchers to address the study of biological nano-particles (BNP) up to the single-particle level. Currently, viruses and extracellular vesicles are BNPs of interest both environmentally and ecologically, but also in biomedicine to find biomarkers in human diseases. Consequently, the scientific community is working hard to properly identify and isolate BNPs. The proposed course will introduce these current new applications to address the study of BNPs of interest using flow cytometry as the main technology for its subsequent multiomics analysis. The main aim of the course is to provide tools to study BNPs of interest in the human and global microbiome and interactions between different types of BNP in biotechnology, as well as the environmental and public health perspective.

This slow-paced hands-on course is designed for absolute beginners who want to start using containers and Nextflow pipelines to achieve reproducibility of data analysis. Linux containers allow the storage of code and applications in an host-independent lightweight environment. They became a fast and popular way to share and deploy applications in different environments. Nextflow is a powerful polyglot workflow language that, coupled with Docker and Singularity containers, provides a robust, scalable and reproducible way to run computational pipelines.

The Andorra Innovation Hub and the Centre for Genomic Regulation (CRG) are organizing a joint online introductory course on Omics technologies (with a focus on genomics and proteomics) and Bioinformatics for research and relevant applications, with a strong focus on applications in the clinic. This course is addressed to medical and health professionals and researchers from different areas (life sciences, biodiversity, and others) who want to learn about the fundamentals and the potential of omics technologies and bioinformatics for their areas of activity.  Multiple educational lectures from experts in genomics, proteomics and computational analysis will provide an overview on these technologies, available tools and their applications as well as major ongoing local and international initiatives. Participants will also learn about relevant related aspects of Omics technologies, such as research data management and ethical issues.