Hi everyone,
just a short note for those of you who are working with NGS data and maybe feel that you would like to understand a bit better what is actually happening during the analysis.
At ecSeq we have been teaching practical NGS data analysis courses for quite a few years now, mostly for PhD students, postdocs and researchers from biology or medicine who generate sequencing data themselves, but do not necessarily have a strong bioinformatics background.
The courses are very hands-on. We work with real sequencing data and commonly used open-source tools, and usually spend quite a lot of time looking at what happens at the individual analysis steps, what can go wrong, and how you can actually decide whether a result makes sense.
Depending on the workshop, we cover topics such as:
What we try to teach is not just a list of commands that you can copy and run. Especially with NGS data, I think it is much more useful if you understand why a certain step is there, which assumptions are made, what the QC actually tells you, and when you should probably stop and have a closer look at the data.
Some of the courses start quite basic, so you don't need to be a bioinformatician to participate.
If this sounds useful for your own work, you can find the current workshops here: https://www.ecseq.com/ngs-workshops
just a short note for those of you who are working with NGS data and maybe feel that you would like to understand a bit better what is actually happening during the analysis.
At ecSeq we have been teaching practical NGS data analysis courses for quite a few years now, mostly for PhD students, postdocs and researchers from biology or medicine who generate sequencing data themselves, but do not necessarily have a strong bioinformatics background.
The courses are very hands-on. We work with real sequencing data and commonly used open-source tools, and usually spend quite a lot of time looking at what happens at the individual analysis steps, what can go wrong, and how you can actually decide whether a result makes sense.
Depending on the workshop, we cover topics such as:
- NGS data analysis and variant calling
- RNA-Seq
- Single-cell RNA-Seq
- NGS epigenomics
- Nextflow and bioinformatics pipeline development
- Linux and command-line basics for NGS analysis
What we try to teach is not just a list of commands that you can copy and run. Especially with NGS data, I think it is much more useful if you understand why a certain step is there, which assumptions are made, what the QC actually tells you, and when you should probably stop and have a closer look at the data.
Some of the courses start quite basic, so you don't need to be a bioinformatician to participate.
If this sounds useful for your own work, you can find the current workshops here: https://www.ecseq.com/ngs-workshops