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> > You just need to untar the pre-trained model, and specify the directory and prefix to -c option. > > Could you update the readme example to include this...

Hey @zhanghaoyu9931 I would highly recommend you to train your own model and use the trained profiles to simulate reads. The README file is very informative and it will guide...

Hi Chris @cjwoodruff50 As @kmnip mentioned, the `requirements.txt` file is overly restrictive and that might be the reason for your package dependency issue. We will update it to make it...

With the first case, obviously it is not logical to set `min` and `max` length equal to each other. With your second case scenario, I suspect that the reference genome...

Hi @XavierGrand, As @kmnip correctly noted, `--min_len` and `--max_len` arguments are not used when simulating `aligned` transcriptome reads. There are however used in simulating `unaligned` read sets. Due to the...

Hey Ragnar, It is known issue with scikit-learn version incompatibility. Please refer to #131 for some tips from @kmnip and myself. If you install from bioconda, it is less likely...

Hi @DafniG Thanks for your interest in our tool. To answer your second question, I should say that you can definitely play with those numbers in the _tsv_ file you...

Dear @yhg926 , In the characterization phase, NanoSim records the relative length of nanopore reads over the reference transcripts they are aligned to (It creates a two dimensional kernal density...

Hey Tony @2tony2 , Thanks a lot for reporting this. I really appreciate it. I will definitely look into it with my colleagues and we will get back to you....

Hi @molleraj Thanks for using NanoSim. So when you say you used the full genome as a template, do you mean you used it for training? Basically, how NanoSim works...