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Interested in helping shape R-genomics? #89

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naupaka opened this issue Sep 20, 2020 · 20 comments
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Interested in helping shape R-genomics? #89

naupaka opened this issue Sep 20, 2020 · 20 comments
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help wanted Looking for Contributors

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@naupaka
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naupaka commented Sep 20, 2020

These lessons are still in alpha and are being actively developed. Since things are still in a state of flux, we don't have specific issues that need help at the moment, but if you are interested in participating, comment on this issue.

@naupaka naupaka added the help wanted Looking for Contributors label Sep 20, 2020
@ewallace
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Hi! I'm interested in helping. We are teaching using some of this material in Edinburgh over the next couple of weeks. We forked the material to put some Edinburgh-specific information such as our local RStudio server.

I'm particularly interested in helping with the ggplot material, as I will be adding to that to teach next week anyway, and I delivered some more R material based on this a while ago. Is there a roadmap for the ggplot2 lesson, or who should I talk to about it?

Thanks all for putting this great resource together!

@naupaka
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naupaka commented Nov 30, 2020

@ewallace thanks for your interest! We're making slow and steady progress getting these polished. We'll get some more details posted soon here on GH.

@yonathantilahun
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Will you be producing any lessons on using Qiime2? If so I would like to contribute to the lesson on using R and R-studio for Qiime2.

@jananiravi
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@naupaka I'm interested in contributing, especially with integrating tidyverse with the genomics lessons.

@naupaka
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naupaka commented Feb 22, 2021

@yonathantilahun no plans to incorporate QIIME at this time, unfortunately.

@jananiravi great! We're working through the alpha version, but once we get that in place I'm sure there will be lots of ways to plug in to the development.

@mxiang1
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mxiang1 commented Mar 29, 2021

Hi, I'd like to contribute to content related to RNA sequencing (bulk, single-cell), statistics and data visualization (ggplot2). The current genomics curriculum is a good start but needs additional lessons in quantitative and comparative analysis to make it more complete.

@chechoid
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Hi @naupaka, my name is Sergio. Today I finished my Data Carpentry Instructor certification and I did my demo using this lesson. I'd love to help in the development of this lesson.

@naupaka
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naupaka commented Aug 28, 2021

@chechoid thanks for the interest! The lessons are almost ready for a beta release, and at that point we'll have a number of issues needing attention.

@chechoid
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ok @naupaka, that's great news! I cheris this lesson because it's the one I used for my Data Carpentry certification, so I'll do everything I can to develop it.

@ytakemon ytakemon assigned ytakemon and unassigned ytakemon Nov 10, 2021
@ntsotakos
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Hi @naupaka, how close are these lessons to the beta release? I had my Instructor Training recently, and I currently teach Bioinformatics, so I am willing to help any way I can (and can field test in my class).

@naupaka
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naupaka commented Mar 25, 2022

@ntsotakos I believe the next formal step is for them to be piloted with one or more of the maintainers in attendance, then any revisions made, etc. The maintainers are working on adding content to the knitr and ggplot lessons at the moment. If you look through the lessons as they are and add any issues you spot, that would likely be helpful and we work though this phase!

@vhmcck
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vhmcck commented Nov 21, 2022

Hi @naupaka, I recently completed my Instructor Training and I am interested in participating if you still need a hand with this. What is the status of the lesson? How can I help?

@naupaka
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naupaka commented Nov 21, 2022

It's mostly through the beta phase; been piloted formally once and they're aiming for another one soonish. We're in the midst of a big overhaul (see #142) so perhaps it would be easiest (e.g. to avoid merge conflicts) to hold off on any PRs for now. General issues or suggestions are always welcome though!

@vhmcck
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vhmcck commented Nov 21, 2022

Thanks for the update - I can see there is a lot to go through. Is epidodes_rmd the best way to check the lesson?

@naupaka
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naupaka commented Nov 21, 2022

Yes those are the files. You can also check the rendered version datacarpentry.org/genomics-r-intro/

@vhmcck
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vhmcck commented Nov 21, 2022

Oh, that is much better. THANK YOU! I will take a look.

@vhmcck
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vhmcck commented Dec 6, 2022

Hi @naupaka,

First of all, congratulations! A beautiful lesson, with heaps of content - the challenge will be covering as much as possible in the allocated time, as usual. My comments on the Producing Reports With knitr episode are below.

  • It would be good to provide further information on what Markdown is when defined under Literate programming. I suggest The Markdown Guide.

  • Missing image of the dialog box under Creating an R Markdown file.

  • I could not find the Markdown Quick Reference - there is no "little question mark" next to "Knit HTML" in my version of R studio (2022.02.3).

  • The example for section headers is missing how these should look like. The same applies to the examples for hyperlinks, images, subscripts, and equations later on.

  • For images under A bit more Markdown, learners may need instructions on how to get URLs for images created in a local environment (e.g., their Desktop folder).

  • It would be useful to provide a link to the documentation when introducing R Markdown under R code chunks, so learners have it handy.

  • The How things get compiled scheme may be misleading. After saving, I can only see the .Rmd and .html files - where should I find .md and figs/?

  • The explanation for fig.path is not clear - what is the "standard place"?

  • The challenge for In-line R code (note the typo) is a bit too general. I suggest something along the lines: "Try out a bit of in-line R code by defining a variable "average" of the numbers from 0 to 10, inclusive. Then round the result to a value with 3 decimals and show only this number after the sentence: 'The 0-10 average is value'".

  • All challenges are missing solutions.

  • The R Markdown cheat sheet (PDF) under Resources does not work. I believe this is the one you are after:
    https://www.rstudio.com/wp-content/uploads/2015/02/rmarkdown-cheatsheet.pdf

  • It would be great to add something about the Publish Document option and comment on (possibly additional?) packages/updates that R may need to operate knitr. I got a few new ones when playing with Markdown in my local environment.

I am interested in helping with the Beta release. I have used R to analyse microbiome data and produce publication-quality graphs. Please keep me in the loop!

Cheers,
Valentina

@naupaka
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naupaka commented Dec 13, 2022

@vhmcck thanks! This is great. Can I ask you to take the content you just posted and add it as a new issue on its own so we don't lose it here under the broader thread? Name it something like "Suggestions for improvements to the knitr lesson".

@vhmcck
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vhmcck commented Dec 17, 2022

No worries, @naupaka. Happy to help! I just did it. Let me know if you see the issue.

@naupaka
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naupaka commented Jan 19, 2024

Thanks everyone for your help and suggestions -- I'm closing this issue for now but you should feel welcome to add new issues as you find them, or to help address existing issues with a PR.

@naupaka naupaka closed this as completed Jan 19, 2024
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