On 23/08/2021 17:05, Fabricio de Almeida wrote:
Thank you for the suggestions, Hervé.

Indeed, the best thing to do is to document everything. I was considering using {basilisk} or {herper} to keep a conda environment for functions that depend on external software, but I think they are made for Python code only via reticulate.

Is there a fast way to see all software installed in the Bioc build system?

No, but this should not matter. What you state in SystemRequirements doesn't depend on what's already installed on our build machines. Developers are often too focused on our build system. What about the end user machine? Ultimately this is where your software will get installed and used, and we don't know what's on their machine either. So you want to make sure that your SystemRequirements field + INSTALL file contain all the information that the end users will need in order to install and use your package. If the process is well documented for the end user, then it's well documented for us when we need to take care of the build machines.

To improve user-friendliness your code should display a useful error message if a system command that your code depends on (e.g. salmon) is not found in the PATH.

Hope this helps,

H.



Best,

/=========================/

/
/

/Fabrício de Almeida Silva/

/Undergraduate degree in Biological Sciences (UENF)/

/MSc. candidate in Plant Biotechnology (PGBV/UENF - RJ/Brazil)/

/Laboratório de Química e Função de Proteínas e Peptídeos (LQFPP/CBB/UENF - RJ/Brazil)/

/Personal website: /https://almeidasilvaf.github.io


------------------------------------------------------------------------
*De:* Hervé Pagès <hpages.on.git...@gmail.com>
*Enviado:* segunda-feira, 23 de agosto de 2021 18:53
*Para:* Fabricio de Almeida <fabricio_almeidasi...@hotmail.com>; bioc-devel@r-project.org <bioc-devel@r-project.org> *Assunto:* Re: [Bioc-devel] External dependencies and reproducibility in all platforms
On 23/08/2021 16:35, Fabricio de Almeida wrote:
Hi, Hervé.


Thank you for making this clear to me. I will try to think of an optimal solution for this. The issue here is that my package works as the pipeline itself, similarly to how ORFik works.

Out of curiosity, I just checked how ORFik and KnowSeq handle this situation:

   * for STAR, for instance, ORFik simply comments the function that runs
     STAR in @examples
     (https://github.com/Roleren/ORFik/blob/master/R/STAR.R
     <https://github.com/Roleren/ORFik/blob/master/R/STAR.R
<https://github.com/Roleren/ORFik/blob/master/R/STAR.R>>). Quite a
     hacky solution to avoid the overuse of \donttest{}.
   * KnowSeq includes a function to download all external software
     
(https://github.com/CasedUgr/KnowSeq/blob/75d5d9f526f5b4ac561455a46884fe0a1860ffa0/R/sraToFastq.R
     <https://github.com/CasedUgr/KnowSeq/blob/75d5d9f526f5b4ac561455a46884fe0a1860ffa0/R/sraToFastq.R
<https://github.com/CasedUgr/KnowSeq/blob/75d5d9f526f5b4ac561455a46884fe0a1860ffa0/R/sraToFastq.R>>),
     and it includes \donttest{} in some functions.

I will see if I can include \donttest{} in as many functions with external dependencies as I can and add some other dependencies in SystemRequirements to satisfy the 80% testable code in @examples.

We discourage this approach because it generally hurts reproducibility
and reliability of the software. It's unfortunate that other packages
are doing this.

A better approach is to make sure that all the steps in your pipeline
are automatically tested on a regular basis, even if that means that we
must install more things on the build machines. As long as these things
are easy to install (e.g. a simple 'apt-get install mafft' on Ubuntu) we
should be fine. Things might be a little bit more complicated on other
platforms, in which case you may need to consider disabling some
examples and/or tests on these platforms. But that should be the last
resort.

Hope this makes sense.

Thanks,
H.




Best,

/=========================/

/
/

/Fabrício de Almeida Silva/

/Undergraduate degree in Biological Sciences (UENF)/

/MSc. candidate in Plant Biotechnology (PGBV/UENF - RJ/Brazil)/

/Laboratório de Química e Função de Proteínas e Peptídeos (LQFPP/CBB/UENF - RJ/Brazil)/

/Personal website: /https://almeidasilvaf.github.io


------------------------------------------------------------------------
*De:* Hervé Pagès <hpages.on.git...@gmail.com>
*Enviado:* segunda-feira, 23 de agosto de 2021 16:57
*Para:* Fabricio de Almeida <fabricio_almeidasi...@hotmail.com>; bioc-devel@r-project.org <bioc-devel@r-project.org> *Assunto:* Re: [Bioc-devel] External dependencies and reproducibility in all platforms
Hi Fabricio,

If your package requires external software/libraries/tools in order to
pass 'R CMD build' and 'R CMD check', then please list them in the
SystemRequirements field of your DESCRIPTION file. In addition, we
kindly ask you to provide an INSTALL file in the top-level folder of
your package source tree that documents how to install these external
deps on all the supported platforms.

BTW I'm not sure that KnowSeq or ORFik have external system
requirements. I don't see that they have a SystemRequirements field.
Only openPrimeR has one but it's not clear to me that the package
actually needs all the things listed there e.g. for example MAFFT is
listed but we don't have it on the build machines.

FWIW most packages avoid having to depend on external tools like
SRAtoolkit, STAR or salmon by assuming that this step of the analysis
was already taken care of, and by focusing on the downstream analysis.
These packages often include the output of the upstream analysis as a
small dataset and start from there.

Hope this helps,

Best,
H.


On 23/08/2021 07:10, Fabricio de Almeida wrote:
Dear Bioc developers,

I am writing a package that contains external dependencies, and I'd like to 
know what are the best practices to submit this kind of package to Bioconductor.

The external dependencies are standard RNA-seq analysis algorithms, such as 
SRAtoolkit, STAR and salmon. I have seen other Bioc packages with external 
dependencies, such as KnowSeq 
(https://bioconductor.org/packages/release/bioc/html/KnowSeq.html
<https://bioconductor.org/packages/release/bioc/html/KnowSeq.html
<https://bioconductor.org/packages/release/bioc/html/KnowSeq.html>>),
ORFik (https://www.bioconductor.org/packages/release/bioc/html/ORFik.html <https://www.bioconductor.org/packages/release/bioc/html/ORFik.html
<https://www.bioconductor.org/packages/release/bioc/html/ORFik.html>>),
and openPrimeR (https://bioconductor.org/packages/release/bioc/html/openPrimeR.html <https://bioconductor.org/packages/release/bioc/html/openPrimeR.html
<https://bioconductor.org/packages/release/bioc/html/openPrimeR.html>>),
but it is not clear how they handle the dependencies in the Bioconductor build system.

I have a conda environment containing all the dependencies + R 4.1.0, which 
works fine. However, conda is not the best option, as some dependencies may not 
exist in all OS, particularly in Windows.

Perhaps a Docker container with the dependencies in an Ubuntu OS would ensure 
reproducibility in all platforms, but what should I do for the package to pass 
all checks in the Bioc build system?

Any help is appreciated.

Best,


=========================


Fabr�cio de Almeida Silva

Undergraduate degree in Biological Sciences (UENF)

MSc. candidate in Plant Biotechnology (PGBV/UENF - RJ/Brazil)

Laborat�rio de Qu�mica e Fun��o de Prote�nas e Pept�deos (LQFPP/CBB/UENF - 
RJ/Brazil)

Personal website: https://almeidasilvaf.github.io <https://almeidasilvaf.github.io>
<https://almeidasilvaf.github.io <https://almeidasilvaf.github.io>>


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--
Hervé Pagès

Bioconductor Core Team
hpages.on.git...@gmail.com

--
Hervé Pagès

Bioconductor Core Team
hpages.on.git...@gmail.com

--
Hervé Pagès

Bioconductor Core Team
hpages.on.git...@gmail.com

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