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fasta2speclib feature requests #188
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Dear Juergen, thanks for your interest in fasta2speclib! We are currently working on optimizing fasta2speclib, so we should be able to implement your suggestions in the next version. |
fasta2speclib feature requests:
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@JB91451, @willems533, All requested features are now available in MS²PIP v3.11.0. Please let us know if everything works as expected. If you would run into any issues, let us know and we'll be happy to help. Best, |
Dear Ralf, Thank you and the entire MS2PIP team for this really fast implementation! I will test it as soon as possible. Unfortunately, this week I am buisy with some lab courses. Best, |
Hey Ralf, Thanks! I will also test it soon in one of the coming days, Patrick |
Hi Ralf, I tried the new features today and they seem to work. However, when I set more than one cpu in the config file, the process seems to get stuck in the multiprocessing step at the very beginning. For the tests I used a VM-Server with win10 and python 3.7 (I can not change the version there due to access restrictions). Even with only one cpu the process seems to stop at a step "generated new fontManager". On the computer where the process does not finish, I also have to use a virtual environment in order to call fasta2speclib while on my desktop I installed ms2pip globally and could run both commands directly. Best, |
Moved to new issue: #195 |
Dear ms2pip developers,
Thank you for the new version of your tool. It works really well.
I have rather a question than an issue: Is there any way to include semi-specific or even unspecific enzymatically cleaved peptides in the fasta2speclib tool?
In the earlier versions of ms2pip I bypassed fasta2speclib for this purpose by using a script to generate the peptide list via generate-peptides from crux (btw. this did allow to filter peptides also by m/z which was a huge advantage -> I agree with issue #187 that this would be a nice option in the future) and modifying this list to obtain suitable peprec files including a 'max variable modifications per peptide' option. However, it would be nice if it is possible to use the offical way.
Best regards,
Juergen
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