Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing
This course is available on FutureLearn and developed by St George's University of London.
This postgraduate-level course will help you understand these new and established genetic technologies, and their application to clinical practice.
Scientific topics: Rare diseases
Keywords: Rare Diseases & Research
Resource type: e-learning
Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing
https://www.futurelearn.com/courses/next-generation-sequencing
http://tess.elixir-uk.org/materials/genomic-technologies-in-clinical-diagnostics-next-generation-sequencing
This course is available on FutureLearn and developed by St George's University of London.
This postgraduate-level course will help you understand these new and established genetic technologies, and their application to clinical practice.
Rare diseases
Rare Diseases & Research
postgrad
Scientists
Healthcare
Genomic Technologies in Clinical Diagnostics: Molecular Techniques
This course is available on FutureLearn and developed by St George’s, University of London.
This postgraduate-level course, in combination with Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing Technologies, will help you understand these new and established genetic...
Scientific topics: Rare diseases
Keywords: Rare Diseases & Research
Resource type: e-learning
Genomic Technologies in Clinical Diagnostics: Molecular Techniques
https://www.futurelearn.com/courses/molecular-techniques
http://tess.elixir-uk.org/materials/genomic-technologies-in-clinical-diagnostics-molecular-techniques
This course is available on FutureLearn and developed by St George’s, University of London.
This postgraduate-level course, in combination with Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing Technologies, will help you understand these new and established genetic technologies, and their application to clinical practice. This course focuses on molecular techniques.
Rare diseases
Rare Diseases & Research
Scientists
healthcare professionals
Genomics in Healthcare
Online course available on FutureLearn and developed by St George’s, University of London on genomic technologies.
Scientific topics: Rare diseases
Keywords: Rare Diseases & Research
Resource type: e-learning
Genomics in Healthcare
https://www.futurelearn.com/programs/genomics-in-healthcare
http://tess.elixir-uk.org/materials/genomics-in-healthcare
Online course available on FutureLearn and developed by St George’s, University of London on genomic technologies.
Rare diseases
Rare Diseases & Research
healthcare professionals
Scientists
WheatIS DataDiscovery webinar
The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is...
Scientific topics: Data management
Keywords: wheat, information system, data discovery
Resource type: Webinar, Slides, Video
WheatIS DataDiscovery webinar
https://wheat-urgi.versailles.inrae.fr/About-us/News/WheatIS-webinar-replay
http://tess.elixir-uk.org/materials/wheatis-datadiscovery-webinar
The [WheatIS project](http://www.wheatis.org/) aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the [Wheat Initiative](https://www.wheatinitiative.org/).
The [WheatIS DataDiscovery tool](https://urgi.versailles.inrae.fr/wheatis/) allows to search data in all the wheat resources around the world.
This Webinar described how to use the tool, what data are available, how to join, etc.
The replay is available on [Youtube](https://youtu.be/FoVXBhO8arY).
Raphaël Flores
Cyril Pommier
Nicolas Francillonne
Hadi Quesneville
Anne-Françoise Adam-Blondon
Michael Alaux
Taner Sen
Data management
wheat, information system, data discovery
Researchers
Scientists
Extracting gene-disease evidence from literature, genetics, genomics and more
Do you want to identify and prioritise new therapeutic targets? Are you looking for associations of your gene of interest with a specific disease? Do you work in the area of drug repurposing? Are you interested in disease biology? If you said yes to any of these questions, this webinar is for...
Keywords: Europe PMC, Open Targets, gene-disease relationship, Text mining
Resource type: Webinar
Extracting gene-disease evidence from literature, genetics, genomics and more
https://www.ebi.ac.uk/training/online/course/extracting-gene-disease-evidence-literature-genetics-genomics-and-more
http://tess.elixir-uk.org/materials/extracting-gene-disease-evidence-from-literature-genetics-genomics-and-more
Do you want to identify and prioritise new therapeutic targets? Are you looking for associations of your gene of interest with a specific disease? Do you work in the area of drug repurposing? Are you interested in disease biology? If you said yes to any of these questions, this webinar is for you. Watch to explore gene-disease relations using freely available tools from Europe PMC and Open Targets. Maria and Denise will show you how to access evidence from research literature, genetics, genomics and chemical data to obtain information at drug targets and disease levels.
This webinar was recorded on 7th June 2018. It is best viewed in full screen mode using Google Chrome. The slides from this webinar can be downloaded below.
Denise Carvalho-Silva
Maria Levchenko
Europe PMC, Open Targets, gene-disease relationship, Text mining
Scientists
FAIR Data Stewardship - Data sharing, archiving and publishing
The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities...
Keywords: Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication
Resource type: Slides, Training materials
FAIR Data Stewardship - Data sharing, archiving and publishing
https://doi.org/10.5281/zenodo.3066870
http://tess.elixir-uk.org/materials/fair-data-stewardship-data-sharing-archiving-and-publishing
The workshop introduces the concepts and gives hands-on experience with tools which allow safe data sharing, archiving and publishing on example services. Moreover, participants of the workshop explore together different roles which are defined around data publication and how responsibilities towards data are distributed. The course does not require any prior knowledge.
Christine Staiger
Jasmin Karoline Böhmer
Data Life Cycle, FAIR, data management, data stewardship, data repositories, data sharing, data publication
General Interest
Scientists
Researchers
data stewards
Simple plotting in R
This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...
Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation
Simple plotting in R
https://www.mygoblet.org/training-portal/materials/simple-plotting-r
http://tess.elixir-uk.org/materials/simple-plotting-in-r
This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software.
the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with different pins. Also, both channels Cy5 and Cy3 were spotted identically, and so the fold ratio for all spots should be 1 - this helps us see bias in the data
Mick Watson
Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation
Beginners
PhD students
Researchers
Scientists
2014-01-14
2017-10-09