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[PRE REVIEW]: Genetic code finder: Determine CUG codon usage in yeasts #3363
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. For a list of things I can do to help you, just type:
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@smuehlh - Thanks for your submission. Due to the relatively small amount of code, the editors will now discuss if it meets the substantial scholarly effort criterion for review by JOSS. You should hear back in a week or so. I also ask that the editors look at the packaging. |
@whedon query scope |
Submission flagged for editorial review. |
@smuehlh – many thanks for your submission to JOSS. After a review by our editorial team we have determined that this submission is out of scope for JOSS. The primary reason for this is that this code currently feels like a collection of standalone scripts, rather than software packaged in a way that is designed for others to easily reuse. JOSS' submission guidelines state that your software must be designed for "maintainable extension" and it is our assessment that this repository currently falls well below this standard for Ruby. Please take a look at this guide on how to package software in Ruby as a Rubygem. If you are able to make these changes, we'd welcome a resubmission. |
@whedon reject |
Paper rejected. |
@arfon – many thanks for your assessment. Let me briefly comment on your main concerns. First – on the code feeling like a collection of standalone scripts. Well, yes, the code is a collection of two (currently three, but I agree that there is no benefit in keeping scripts 2 and 3 separate and thus plan on merging those two) connected scripts. This design is on purpose, as the nature of the task requires a separation into two parts: First, a database for the mass spectrometry software MaxQuant needs to be generated. Then, this MaxQuant software needs to process experimental measurements against the precomputed database. Lastly, the vast MaxQuant output needs to be parsed for measurements of interest. We have proposed and published this workflow as part of our original publications on yeast genetic codes. Others (see, for example, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5951914/) have picked up this suggestion and written their own set of custom scripts closely following our workflow. Thus, without any doubt others have found our workflow useful and would have benefitted from our scripts. While this group already has their own set of custom scripts, other groups might yet benefit from ours. Besides the actual standalone scripts, our code contains a library for interaction with MaxQuant output that can easily be used for mass spectrometry analysis beyond CUG usage in yeasts. Second – on design for maintainable extension. I agree on Ruby Gems being generally the way to go for maintainable extensions. I could envision turning parts of the library this code comes with (namely those classes parsing MaxQuant output) into a Ruby Gem. However, I fail to see the advantage of turning the whole code base into a Ruby Gem. Given the nature of the task, i.e. the need to call an external, computationally intensive software in between, the Ruby Gem would still have to have two executables. The only difference to the current code would be calling the executables as Would you reconsider your decision given I follow through with the changes proposed above? |
Submitting author: @smuehlh (Stefanie Mühlhausen)
Repository: https://github.com/smuehlh/genetic-code-finder
Version: v1.0.0
Editor: Pending
Reviewer: Pending
Managing EiC: Daniel S. Katz
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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