see below..
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Last edited by moritz1; 02-25-2016, 05:45 AM. -
You can install a local instance of galaxy that way you don't have to load it onto their server. -
I have tried Bpipe and it seems to work well. It takes some time to learn and get used to its way of doing things.
You can also write a shell script and I find it to be easier to understand..
But if your users will be doctors who might not have any unix experience. Anything that has a web interface will be much easier to use than unix environment..Comment
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I realize you are likely done with your thesis, so this information is for those who may stumble upon this thread. I would suggest to take a look at the latest development: NextflowWorkbench. Here's a preprint that discusses this new workflow system:
NextflowWorkbench: Reproducible and Reusable Workflows for Beginners and Experts
Jason P Kurs, Manuele Simi, Fabien Campagne
bioRxiv doi: http://dx.doi.org/10.1101/041236Comment
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CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...07-31-2026, 11:01 AM -
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...07-20-2026, 11:48 AM -
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...07-09-2026, 11:10 AM
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