This course will give a quick revision of essential general concepts for using a cluster well followed by specific examples utilising slurm to run jobs on the cluster. 

This course provides an introduction to using the linux terminal. It is suitable for complete beginners who have never used the command line before.

This course will consolidate material presented in the beginner cluster course and expand on the concepts to be aware of when trying to optimize use of the cluster. 

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 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 course will give a quick revision of essential general concepts for using a cluster well followed by specific examples utilising slurm to run jobs on the cluster. 

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 course is an introduction to the cluster. It will explain the key concepts of a cluster and how to launch a simple job. Some general advice on best practice and practices to be avoided will be covered. 

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.

In this course you will learn: How to get access to articles Open access How to properly write affiliations & acknowledgments at CRG -

The CRG Introductory PhD course offers students a comprehensive overview of the Centre for Genomic Regulation (CRG) and its major research areas, including Genome Biology, Synthetic and Systems Biology, Computational Biology & Health Genomics, and Quantitative Cell Biology. The course features lectures designed to convey general principles rather than highly specialized information, often utilizing examples of research accomplishments by CRG groups to illustrate various approaches and the broader implications of their results. Additionally, students will acquire transferable skills essential for their academic and professional development. The course also covers important topics such as research ethics, best practices for scientific publications, and effective communication of research findings.

The CRG PhD course provides students with an overview of CRG and the major research topics in Genome Biology, Synthetic and Systems Biology, Computational Biology &Health Genomics, and Quantitative Cell Biology. The course includes lectures that provide general principles rather than highly specialized information and may use examples of research accomplishments by CRG groups to help illustrate the approaches and implications of the results.

The CRG PhD course provides students with an overview of CRG and the major research topics in Gene Regulation, Cell and Systems Biology, and Bioinformatics programmes. The course includes lectures that provide general principles rather than highly specialized information, and may use examples of research accomplishments by CRG groups to help illustrate the approaches and implications of the results.

The CRG PhD course provides students with an overview of CRG and the major research topics in Gene Regulation, Cell and Systems Biology, and Bioinformatics programmes. The course includes lectures that provide general principles rather than highly specialized information, and may use examples of research accomplishments by CRG groups to help illustrate the approaches and implications of the results.

The CRG PhD course provides students with an overview of CRG and the major research topics in Gene Regulation, Cell and Systems Biology, and Bioinformatics programmes. The course includes lectures that provide general principles rather than highly specialized information, and may use examples of research accomplishments by CRG groups to help illustrate the approaches and implications of the results.

This course will focus on the preparation of next generation sequencing libraries for sequencing on the Illumina platform. The course will include a theoretical part about sequencing technologies and a practical part scheduled in two modules to be chosen: ChIP seq library preparation (NEBNext) and mRNA seq stranded library preparation (Illumina). The course will be taught by experienced instructors from the core facility who use these protocols on a daily basis. The course will consist of a common theoretical part and two separate modules (mRNA seq and ChIP seq) which could be taken independently.

 A solution of Electronic Lab Notebook has been implemented in the CRG in order to replace the paper lab notebook and offer a new solution that improve the experimental data storage and boost the scientific collaborations and data exchange. The solution of ELN is based on Microsoft OneNote and OneDrive for Business / SharePoint. 3 levels of support are available in the CRG: - The ELN Group Master: located in every group, they are supposed to be the first level of support for all the scientists- The ELN Master: they are the second level of support and the main interface between the ELN Group Masters and the IT department- The IT department: they are providing the technical support to the ELN Master and are taking care of the maintenance of the ELN platform

This course will give a quick revision of essential general concepts for using a cluster well followed by specific examples utilising slurm to run jobs on the cluster. 

This course provides an introduction to using the linux terminal. It is suitable for complete beginners who have never used the command line before.

This course will consolidate material presented in the beginner cluster course and expand on the concepts to be aware of when trying to optimize use of the cluster. 

This course will give a quick revision of essential general concepts for using a cluster well followed by specific examples utilising slurm to run jobs on the cluster. 

This course will consolidate material presented in the beginner cluster course and expand on the concepts to be aware of when trying to optimize use of the cluster. The main message of the course is to embrace the parallelism available within the cluster and that pipelines should be made from lots of small independent pieces that are spread throughout the cluster rather than large monolithic long jobs that run on a single node. The course will show why this should be done and how to achieve it. 

This course is an introduction to the cluster. It will explain the key concepts of a cluster and how to launch a simple job. Some general advice on best practice and practices to be avoided will be covered. 

This course aims to provide basic notions of R programming to people that have NEVER worked with R and that want to learn how to use it for data analysis and visualization.  The Introduction to R course starts from the very basics of R language, all the way through learning how to create scripts, read and write files, manipulate different data structures and plot the results, which will allow you to learn how to do some basic analysis and visualization of your own data by the end of the course. In this course we will combine explanations and examples with lots of hands-on that will allow you to get familiar with basic programming concepts and explore the different possibilities that R offers.

This crash course was born to spread the word on the existence of R packages that offer great functions to quickly explore, present, and communicate our results.  During the sessions, we will use data visualization to try to answer questions and create new hypotheses by exploring the sample datasets and your own.

The aim of this course is to give a general overview on Nextflow, focusing on the execution, configuration and deployment of local and publicly available pipelines.

The course will guide you to setup a development environment using VS Code together with Gitlab and creating a personal Git repository for the course. Afterwards, it will provide Python programming concepts, covering variables, functions, loops, lists, dictionaries, among others. During the process we will show you tools to help you keep the code clean and to enforce proper Python syntax and styling.  Later, we will cover the basics of file handling in Python, gaining the ability to read/write files and to manipulate data. Finally, we will visualize data by using the packages matplotlib and seaborn by using practical examples.

This course introduces vim and provides resources for jump-starting your vim journey to learn the motions and to start customising your environment.  

This course provides an introduction to using the Linux terminal. It is suitable for complete beginners who have never used the command line before. Anybody who intends to use the cluster for data analysis and is not confident in the terminal should take this course.

This course is designed to teach the basics of everyday Linux Containers usage. Participants will learn what Linux Containers are and why they are relevant to today's scientific practice. They will learn hands-on Docker, the most popular container technology, and by the end of the course, they should be able to build simple container images by themselves. They will also be introduced to Singularity/Apptainer, a more suitable container software for HPC environments.

This course is designed to teach the fundamental concepts and practical guidelines for ensuring that everyday data generation and management tasks fit into reproducible scientific workflows. The course emphasizes the importance of open data formats, and recommends using Markdown for documentation. Participants will also learn how to use Gitlab and Github, two data collaboration platforms, for tracking and managing data and documentation across different interfaces such as command line, IDEs and web browser. Git's underlying version control capabilities will be covered in detail during the hands-on sessions. 

This course will introduce using the cluster and to highlight the way to think and strategise about running jobs on the cluster. The course will give a refresher on Linux skills before switching to discuss clusters in general and then focusing on how to use the resources at CRG.

This course will give an introduction to cluster computing in general, the basics of using Linux and using the computer clusters available at CRG and CNAG. The course will consist of 3 sessions each of 3 hours.The first 2 will be online and will cover introductory material, the third will be in the training room and will be a hands-on workshop using the cluster and expanding on material covered in the first 2 sessions.

This crash course was born to spread the word on the existence of R packages that offer great functions to quickly explore, present, and communicate our results.  During the sessions, we will use data visualization to try to answer questions and create new hypotheses by exploring the sample datasets and your own.

This course will give an introduction to cluster computing in general, the basics of using Linux and using the computer clusters available at CRG and CNAG. The course will consist of 3 sessions each of 3 hours.The first 2 will be online and will cover introductory material, the third will be in the training room and will be a hands-on workshop using the cluster and expanding on material covered in the first 2 sessions.

This crash course was born to spread the word on the existence of R packages that offer great functions to quickly explore, present, and communicate our results.  During the sessions, we will use data visualization to try to answer questions and create new hypotheses by exploring the sample datasets and your own.

This is a new course for the beginners at HPC. Following topics will be addressed:  Introduction to HPC and Computing Clusters  Connecting to the CRG and CNAG clusters  Use of bash and the command line (linux primer)  Using the batch systems to submit jobs including use of job arrays and job dependencies  Efficient use of storage on the cluster  Use of git and terminal editors to improve productivity 

Teachers: CRG Bioinformatics core facilityDuration: 8 interactive sessions Fridays 10:00-11:30 - CRG Training CenterStart date: 24th January 2020End Date: 13th March 2020Level: Beginners/ non bioinformaticiansMaximum nº students: 19 Topics covered: DNA, gene, and protein sequences: Protein and gene databases Sequence comparison Genome sequences and annotations Gene and protein function Protein-DNA interactions Gene expression Functional annotation and gens sets

Advanced linux course for biologists and genomics data formats Instructors: Luca Cozzuto Julia Ponomarenko Sarah Bonnin Learning objectives To be able to: Access genomics data from public repositories Know different data formats used in genomics Be able to use the Linux commands to parse and convert those formats

Topics that will cover the course: Introduction to R and R Studio. Basics of R: syntax, objects, simple arithmetic. Data types and data structures. How to use functions. Reading and writing files. Installing and using packages. Getting help. Plots in R: base plotting and introduction to ggplot2 package. Introduction to data analysis with R. INSTRUCTORS (CRG Bioinformatics Core Facility): Sarah Bonnin (Module 1, 2, 3) Julia Ponomarenko (Module 4)

This course will allow any CRG student to perform basic bioinformatics and use the most common tools for their projects. Each topic includes 1-4 short assignments (15’ videos or short readings) that the students must undertake during the week before the actual session (of 1h) on Fridays. During the interactive session, the teachers answers questions and explains the next topic. 1st February 2018 - 26th March 2018

Welcome to the “Essential mathematics for biological research” course organised by Eleonora Tulumello and Jorge Carneiro for the CRG. The course is structured in two phases. In the first phase, we will recapitulate essential elements of algebra, geometry and calculus and will ask students to develop quantitative skills using only “paper & pencil”. In the second phase we will work out more advanced topics with the help of a computational tool. The idea is to overcome the aversive reaction towards maths, formalisms and computation. Researchers that participated in the course are expected to: 1) be able to progress on their own into more advanced mathematical topics necessary for their research ; 2) be able to read and understand equations in an article instead of jumping to the discussion section or dropping the paper altogether; 3) be capable of dialoguing with colleagues who do research in mathematics, statistics, physics or computation and thus engage in interdisciplinary research. The course will run from mid October until the end of November. Students will interact with Jorge during collective (in)formal classes on Tuesday and Friday mornings and during two additional hours ad libitum. In between, students will do practical exercises aiming at building and/or maintaining their “quantitative muscle”.

Modern Biology is becoming an increasingly quantitative discipline that requires a high degree of interdisciplinary interactions among scientists. Biologists usually face the most difficult part of interdisciplinary collaborations since the level of mathematics needed to develop a fruitful discussion is relatively high. The goal of this course is to introduce biologists to the most basic concepts of mathematics that are needed for the study of Calculus and to acquire a basic understanding of the language of mathematics to ease interdisciplinary communication. Teacher: Juanjo Fraire Zamora

The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.

The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.

The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.

The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.

The course will give an overview of important concepts and methods used to analyse “Biomedical data”. The emphasis will be on the understanding of statistical concepts and their interpretation in a research framework. After a general introduction on probability theory and statistical inference, an emphasis will be made on common statistical methods. Particular cases will be used as illustrative examples.

Course descriptionIn this course you will learn how to create an eye-catching, engaging and effective scientific poster. First we will cover the contents of a poster and elements of design, and then discuss relevant software and tools to construct your poster. Finally we will give a crash course on how to use Google Drawings, BioRender, Servier Medical Art, Canva, Illustrator and Inkscape.Closer to the CRG PhD Symposium date, we will offer small, hands-on practical sessions with the trainers where you can get advice, feedback and help with technical questions.       Format The course will be online and sessions will be recorded and uploaded to CRG Moodle.Workshops will be groups of 4-5 attendees and will be in person. We ask that students attend the course before signing up for workshops as it should follow on from what is taught during the course.    Date Online course: Thursday, October 20th 2022 (09:30-17:00)Presential small group workshops: between 1-18 November 2022, dates and times will be decided later. Course schedule Morning session:9:30 - 10:30 Creating a scientific poster: from content to design - Morghan Lucas10:30 - 10:45 What software/tool is right for me? - Morghan Lucas11:00 - 12:00 How to present a poster and flashtalk - Ritobrata Ghose Afternoon session:2:00 - 2:20 Intro to Google Drawings - Jorge Herrero 2:20 - 2:40 Intro to BioRender and Servier Medical Art - Anna Oncins Sunol and Agostina Bianchi2:40 - 3:00 Intro to Canva - Morghan Lucas3:20 - 5:00 Intro to Illustrator - Ivan Milenkovic & Morghan Lucas 3:20 - 5:00 Intro to Inkscape - Vasilis Ntasis 

Course descriptionIn this course you will learn how to create an eye-catching, engaging and effective scientific poster. First we will cover the contents of a poster and elements of design, and then discuss relevant software and tools to construct your poster. Finally we will give a crash course on how to use Google Drawings, BioRender, Servier Medical Art, Canva, Illustrator and Inkscape.Closer to the CRG PhD Symposium date, we will offer small, hands-on practical sessions with the trainers where you can get advice, feedback and help with technical questions.       Format The course will be online and sessions will be recorded and uploaded to CRG Moodle.Workshops will be groups of 4-5 attendees and will be in person. We ask that students attend the course before signing up for workshops as it should follow on from what is taught during the course.    Date Online course: Thursday, October 20th 2022 (09:30-17:00)Presential small group workshops: between 1-18 November 2022, dates and times will be decided later. Course schedule Morning session:9:30 - 10:30 Creating a scientific poster: from content to design - Morghan Lucas10:30 - 10:45 What software/tool is right for me? - Morghan Lucas11:00 - 12:00 How to present a poster and flashtalk - Ritobrata Ghose Afternoon session:2:00 - 2:20 Intro to Google Drawings - Jorge Herrero 2:20 - 2:40 Intro to BioRender and Servier Medical Art - Anna Oncins Sunol and Agostina Bianchi2:40 - 3:00 Intro to Canva - Morghan Lucas3:20 - 5:00 Intro to Illustrator - Ivan Milenkovic & Morghan Lucas 3:20 - 5:00 Intro to Inkscape - Vasilis Ntasis 

We created this page to be able to make an objective assessment between three different brands of electronic pipettes. This comparison will help CRG staff who work with pipettes to choose the electronic pipette that best suits their professional needs. With electronic pipettes we avoid straining the muscles of the wrist, we increase the precision and effectiveness of the experiments, and for all these benefits, the CRG will give you the electronic pipette of your choice.

Welcome to the Courses@CRG: Advanced Proteomics Course at the Center for Genomic Regulation in beautiful Barcelona! We are thrilled to have you as part of our community, and we extend our warmest greetings to you. At Courses@CRG, we are committed to providing you with an exceptional learning experience, and we are excited to announce that we will be covering a comprehensive range of topics during this program. Throughout the course, we will delve into the main concepts of mass spectrometry-based proteomics, equipping you with a solid foundation in this field. Our curriculum will include an exploration of the principles of mass spectrometry, enabling you to understand the underlying technology and its application to proteomic analysis. We will guide you in the interpretation of spectra and results, helping you extract valuable information from complex data sets, and we will delve into methods for sample preparation, quantitative proteomics, and targeted proteomics, among others. By the end of this course, you will have acquired a solid understanding of the proteomics techniques and be equipped with valuable skills to propel your research and career forward. We are confident that your time with us will be intellectually stimulating and professionally enriching.

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.  

The European Genome-phenome Archive (EGA) is a resource for archiving of all types of potentially identifiable genetic, phenotypic, and clinical data resulting from biomedical research projects. Its mission is to foster hosted data reuse, enable reproducibility, and accelerate biomedical and translational research. To promote the use and interaction with professionals in research and teaching, we invite you to attend our first online workshop on the EGA and its ecosystem of tools. The goal of this training would be to present EGA repositories and tools so that they can be incorporated into your research or teaching. The content and agenda of the workshop is the following: Part 1: The EGA and introduction to human data and sharing sensitive data. Part 2: Tools for exploring data: EGA has a number of tools in relation to GA4GH such as Beacon, htsget will be presented. There will also be introduction to other repositories for exploring sensitive human data, including GPAP (the RD-Connect Genome-Phenome Analysis Platform for diagnosis and gene discovery in rare disease research) and DisGeNET (a discovery platform designed to address a variety of questions concerning the genetic underpinning of human diseases).

Principles of reproducibility in bioinformatics research Best practices for managing scientific projects Strategies for effective science communication

This Moodle collects all the materials related to the EMERALD Summer School 2024 at MDC Berlin.

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

English course level B1 and B2. Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications

English course level B1 and B2. Here teachers, organizers, and students can share resources that you can access while you are part of this group. It will also be the communications channel in case of incidents and notifications