The following list includes only slides and tutorials where the individual has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
This contributor has taken on additional responsibilities as an editor for the following topics. They are responsible for ensuring that the content is up to date, accurate, and follows GTN best practices.
| Author(s) |
Mehmet Tekman
|
| Editor(s) |
 
Helena Rasche |
| Infrastructure |
Mehmet Tekman |
Hey Galaxy admins! Have you ever wanted to administer your own instance from the luxury of your pocket?
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| Author(s) |
Mehmet Tekman
|
| Editor(s) |
Helena Rasche |
| Infrastructure |
Mehmet Tekman |
Hey Galaxy admins! Have you ever wanted to administer your own instance from the luxury of your pocket?
Full Story
| Author(s) |
Mehmet Tekman
Wendi Bacon
Pavankumar Videm
|
🚀Embarking on a cosmic journey, the Galaxy Single-cell Community has clustered together to unveil a constellation of tools, making strides in RNA-stellar discoveries and creating out-of-this-world workflows. With a commitment to battling work duplication across the multiverse, this community is boldly charting a course for global domination, proving that when it comes to bioinformatics, the Galaxy is the limit!✨
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| Author(s) |
Mehmet Tekman
|
| Editor(s) |
Helena Rasche |
| Infrastructure |
Mehmet Tekman
Helena Rasche |
🤖💬 Bleep bloop! Good news everyone! We have deployed some bots to enable our Matrix regulars to better engage with the contributions and questions of our users on the non-Matrix side of the Galaxy-verse.
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| Author(s) |
Mehmet Tekman
|
| Editor(s) |
Helena Rasche |
| Infrastructure |
Mehmet Tekman
Helena Rasche |
🤖💬 Bleep bloop! Good news everyone! We have deployed some bots to enable our Matrix regulars to better engage with the contributions and questions of our users on the non-Matrix side of the Galaxy-verse.
Full Story
| Author(s) |
Mehmet Tekman
Wendi Bacon
|
The still new and shiny single-cell analysis topic now boasts a deconvolution tutorial suite! What does deconvolution do you ask? Well, in this context, it infers cell proportions from bulk RNA-seq data. You heard that correctly - instead of expensive new single-cell experiments, you can re-analyse old bulk RNA-seq data and estimate cell proportions. All you need is a reasonably good single cell dataset to use as a reference and you’re good to go! The tutorial suite shows you how to build your reference from publicly available single cell data, and apply analysis to some publicly available bulk RNA-seq data.
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| Author(s) |
Wendi Bacon
Mehmet Tekman
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Single-cell analysis now has it’s own topic! These tutorials were previously part of the transcriptomics topic, but due to the amazing efforts by Wendi Bacon, Mehmet Tekmanand others, we now have so many single-cell analysis tutorials that they deserve their own dedicated topic! From introductory slides and practicals, to case study tutorials generating cell clusters and trajectories from raw sequencing files, and even a growing subtopic of smaller tips and tricks for adapting analysis to user needs, the single cell topic either has what you need or is working on it. Come learn or get involved!
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| Author(s) |
Mehmet Tekman
Beatriz Serrano-Solano
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Single cell RNA-seq analysis is a cornerstone of developmental research and provides a great level of detail in understanding the underlying dynamic processes within tissues. In the context of plants, this highlights some of the key differentiation pathways that root cells undergo.
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University of Freiburg
ELIXIR Europe
