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[PRE REVIEW]: The Pep Genie: a Django Application for Swift Automation of Peptide Array Data Analysis #6085
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Five most similar historical JOSS papers: Genotify: Fast, lightweight gene lookup and summarization CutePeaks: A modern viewer for Sanger trace file SpmImage Tycoon: Organize and analyze scanning probe microscopy data genomepy: download genomes the easy way Pynteny: a Python package to perform synteny-aware, profile HMM-based searches in sequence databases |
@thomas-wright-bioinformatics thanks for this submission. I am the AEiC and here to help process initial steps. I have just flagged this work with the |
Thank you for processing my submission. May I ask, what about the project may be out of scope? Thank you again. |
@thomas-wright-bioinformatics I have triggered the scope review because the core functionality seems to be captured by around 1148 lines of Python, which is rather small. Furthermore, being a "website application" it may be that this is seen as a "utility tool", rather than pure research software. Hence, I need some help to determine if this work is in scope. Essentially the team, especially those in the bioinformatics space (which is not me), will need to judge if this work is substantial enough and is more than a utility tool in terms of scientific research functionality (For more on this see our: substantial scholarly effort criteria). Hope this answers your question. |
Thank you for letting me know. This may not be relevant to the editorial board's decision, but in case this is information is helpful, I'd like to comment about the criteria of significant scholarly effort.
I hope that gives more context for your decision. Thank you very much for your consideration. |
Hi @Kevin-Mattheus-Moermann and editors, Thank you in advance for your time spent reviewing my submission. In regard to the size of the application, I'd like to mention that the core functionality of 'grid drawing' to obtain grid coordinates by user input makes use of a combination of html and javascript for div positioning and measurement. This information is then passed to the python code in the back end. Because of this, a considerable proportion of the html and javascript code is also part of the functionality, and not just the python files. Thanks again. |
@thomas-wright-bioinformatics apologies for the delays so far. With the holidays (and the start of semester for many) things have been slower than usual. We hope to conclude the scope review within a week. |
Hi @Kevin-Mattheus-Moerman, no worries, thank you for the update! |
@thomas-wright-bioinformatics thanks for your patience. The editorial board has concluded the scope review. Unfortunately this work is not deemed in scope as it stands. The main conclusion was that it is out of scope due to its relatively small size. In additional the functionality seems largely confined to visualisation. Given this work is not deemed in scope we will now proceed to reject this submission. Note that this conclusion does not mean the work is of a poor quality, or not useful, it merely means that based on size and functionality it is currently out of scope. We hope you will consider JOSS for any future (re)submission that are of a more substantial nature (in addition we would recommend that any such future submissions should include extensive testing as well). |
@editorialbot reject |
Paper rejected. |
Submitting author: @thomas-wright-bioinformatics (Thomas Wright)
Repository: https://github.com/thomas-wright-bioinformatics/pep_genie.git
Branch with paper.md (empty if default branch):
Version: v4.3
Editor: Pending
Reviewers: Pending
Managing EiC: Kevin M. Moerman
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