Very elaborate explanation of the data analysis pipeline in a very soothing voice, I don't feel it's a task to watch, but also an enjoyment. This is the best video I found so far on HiC data.
Hi! I am a current UC Berkeley undergraduate student who is interested in doing plant computational biology research. I am now having trouble with the coding process of generating Hi-C data graph. Could you please share a video that briefly covers the coding aspect of Hi-C analysis and data representation? That will be much appreciated!
For my samples, we can only run once for low input (patient), if shallow sequencing doesn't give enough long range and have high pcr duplication results. There is no ways to save samples right?
Very elaborate explanation of the data analysis pipeline in a very soothing voice, I don't feel it's a task to watch, but also an enjoyment. This is the best video I found so far on HiC data.
Wonderful presentation, very informative and helpful.
Fantastic presentation!!!
Wow!!! Great explanation. Thank you so much.
Hi! I am a current UC Berkeley undergraduate student who is interested in doing plant computational biology research. I am now having trouble with the coding process of generating Hi-C data graph. Could you please share a video that briefly covers the coding aspect of Hi-C analysis and data representation? That will be much appreciated!
Hello, we just published a genome assembly bioinformatics video that you might find interesting, enjoy! ua-cam.com/video/MDpkF5ixQ8I/v-deo.html
For my samples, we can only run once for low input (patient), if shallow sequencing doesn't give enough long range and have high pcr duplication results. There is no ways to save samples right?
It was great! I'm very interested in looking at code