Yu Li

Agree on your point that this is not a formal review paper. But shall we include some interesting applications of deep learning in biology in the introduction part? Just like:...

Hi, I just found this interesting project by chance and thank you very much for your interest in our review paper! The idea of writing an article collaboratively is very...

@agitter Got it! Thank you very much! I will review the current draft, the issues, and the pull requests, seeing the chance of contributing to this project.

@Benjamin-Lee Thank you very much for such a warm welcome! I will try my best to contribute to the project!

Hi, Hurley, thank you very much for your interest! Since this project is still an undergoing project, we haven't released the training code yet. In fact, in the main script,...

Hi, thank you very much for your interest! One advantage of our method is modulization. We can direct plug-in the newest basecaller into our simulator although some minor coding would...

Hi, thank you very much for pointing out that! Yes, in fact, the 'a' parameter was preserved. You can check the pore_model/src/kmer_simulator.py file. But we did not include that in...

It's possible to do that. You can change the parameter "repeat_more". By varying that, you can change the repeat times. But the distribution may not fit the real data well....

Hi, Thank you very much for your interest! Yes, each read can be identified with a "uuid". Alternatively, you can also use minimap to map the reads. Sincerely, Yu

Hi, thank you very much for your interest and reminder! Yes, we accept PRs and look forward to any kind of contribution in any form. It would be great if...