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You should be able to clone this repo and retrieve the code. With regards to file size, do you have a specific error code? How are you accessing Microbiome Explorer when uploading the file, i.e. is it hosted somewhere or are you running it locally? |
Thanks for you response.
How do you "clone this repo"
No I do not have a specific error code - it just shuts down
I am accessing and running locally
Senu
On Monday, November 27, 2023 at 11:59:10 AM EST, Janina Reeder ***@***.***> wrote:
You should be able to clone this repo and retrieve the code.
With regards to file size, do you have a specific error code? How are you accessing Microbiome Explorer when uploading the file, i.e. is it hosted somewhere or are you running it locally?
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In the main page of this repository, there is a green "Code" button. This opens text you can copy to clone with git or an option to download the code in zip format. Or of course you can just browse through the repository to see the code. I haven't encountered any issues loading larger files. There are certainly limits, but 16S data tends to not get that large. How big is the file you are trying to load and what format are you using? If the file is public data that I can access, let me know and I can take a look. |
Sorry I should have been clearer . I think you misunderstood the question - what I meant was when the software is run through the GUI for analysis - is there a way to retrieve the code that was run by the GUI ?
On Monday, November 27, 2023 at 04:33:38 PM EST, Janina Reeder ***@***.***> wrote:
In the main page of this repository, there is a green "Code" button. This opens text you can copy to clone with git or an option to download the code in zip format. Or of course you can just browse through the repository to see the code.
I haven't encountered any issues loading larger files. There are certainly limits, but 16S data tends to not get that large. How big is the file you are trying to load and what format are you using? If the file is public data that I can access, let me know and I can take a look.
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Ah, I see. Yes, you can click the Report button for each analysis you would like to preserve and then go to the report section of the app. You will see the code in text boxes in case that is sufficient. Otherwise, you can then generate the report as HTML, and you will receive both an html file and a Rmarkdown document. The latter contains the R code used to run the analyses. |
Thanks for this pipeline . I love it . 2 questions
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