The aim of this project is to study the dynamics of epitranscriptomic modifications in the mouse brain, in particular the wide-spread m6A modification, by analyzing various m6A experimental data. Different experimental techniques exist to measure changes in m6A modifications across the transcriptome, and the data analysis part typically creates a computational challenge.
The de.NBI cloud service enables me to analyze this data effortlessly. During data analysis, especially when working with specific types of data for the first time, you frequently encounter computational bottlenecks. This was true for me as well when starting the m6A data analysis. I quickly found out that the RAM available to me locally (64GB) simply was not enough. Looking for ways to continue my analysis, I encountered the de.NBI cloud service, and I must say I am really impressed with how fast I was able to get the resources needed for my project, and how well their help desk support service works. From the beginning, they helped me with setting up instances, and when I found out that 128GB are still not enough, in no time I got access to even more powerful high memory flavor (256 GB), which finally enabled me to run all the necessary m6A workflow steps. In conclusion, the de.NBI cloud service makes it possible for me to analyze data which I would otherwise simply not be able to. It goes without saying that I am extremely thankful and happy that this service exists, and I strongly recommend it without hesitation. I am looking forward to analyzing new data for our project in the upcoming months, and thanks to the de.NBI cloud service, I am confident that I can accomplish all upcoming tasks.
