Closed xiaosaiyao closed 1 year ago
Hi @xiaosaiyao
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: scMultiome
Title: Collection of Public Single-Cell Multiome (scATAC + scRNAseq) Datasets
Version: 0.99.5
Authors@R: c(
person(given = "Xiaosai", family ="Yao", email = "yao.xiaosai@gene.com", role = c("cre","aut"), comment = c(ORCID = "0000-0001-9729-0726")),
person(given = "Aleksander", family ="Chlebowski", email = "aleksander.chlebowski@contractors.roche.com", role = "aut"),
person(given = "Aaron", family ="Lun", email = "lun.aaron@gene.com", role = "aut"),
person(given = "Shiqi", family ="Xie", email = "xie.shiqi@gene.com", role = "ctb"),
person(given = "Tomasz", family = "Wlodarczyk", email = "tomasz.wlodarczyk@contractors", role = "aut"),
person(given = "Natalie", family = "Fox", email = "natalie.fox@roche.com", role = "aut")
)
Description: Single cell multiome data, containing chromatin accessibility
(scATAC-seq) and gene expression (scRNA-seq) information analyzed with
the ArchR package and presented as MultiAssayExperiment objects.
License: file LICENSE
Depends:
R (>= 4.3.0),
AnnotationHub,
ExperimentHub,
MultiAssayExperiment,
SingleCellExperiment,
SummarizedExperiment
Imports:
AzureStor,
DelayedArray,
GenomicRanges,
HDF5Array,
S4Vectors,
checkmate,
methods,
rhdf5
Suggests:
BiocGenerics,
IRanges,
Matrix,
knitr,
rmarkdown,
rstudioapi,
testthat (>= 3.0.0),
devtools,
BiocStyle,
ExperimentHubData
VignetteBuilder:
knitr
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
biocViews: PackageTypeData, ExperimentHub, SingleCellData, ExpressionData,
SequencingData, Homo_sapiens_Data, CellCulture, Tissue, GEO
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I still have a warning about unevaluated chunks. These chunks are for demonstrating how to upload new data and cannot be evaluated. Can we still proceed with the review?
I spotted this new submission, which looks really interesting and I'll look more into it. I just also wanted to point to SingleCellMultiModal, which seems to address similar needs. I would suggest @xiaosaiyao to cite SingleCellMultiModal in their vignette intro and highlight any commonalities and differences. Once scMultimodal makes it into Bioc, I would suggest to send a PR to SingleCellMultiModal to update that vignette accordingly (and I'm happy to be reminded to do so if I forget).
Thank you for the suggestion @lgatto. I will cite SingleCellMultiModal in my vignette
Hi @xiaosaiyao,
Thanks for submitting scMultiome. Can you please clarify what license is being used for the package? Based on the LICENSE file it looks like it's one of the Creative Commons licenses, but the file is not very clear about which one exactly. Also the file has many formatting issues, suggesting that maybe it's not the original version. It would be much better if the License
field could give the exact name of the license. See the list of all Creative Commons licenses here.
Also please be aware that using a Creative Commons license for software is unusual and not recommended. From the wikipedia article:
While software is also governed by copyright law and CC licenses are applicable, the CC recommends against using it in software specifically due to backward-compatibility limitations with existing commonly used software licenses.[17][18] Instead, developers may resort to use more software-friendly free and open-source software (FOSS) software licenses.
I'm going to take a closer look at the package now and will let you know if I have more feedback.
H.
Thank you @hpages. The reason for having the Creative Commons license is because one of the datasets in this package came from ChIP-Atlas whose data follows a Creative Commons license and after consulting with our legal team, we decided to follow their license. I will update the license to the exact name.
Hi @xiaosaiyao,
I noticed that the scMultiome relies a lot on the ArchR package to demonstrate some important operations, but unfortunately ArchR is not a Bioconductor or CRAN package. This leads to the following situation: ArchR is used in the vignette and in various man pages but none of the code that demonstrates its use is actually evaluated, with the consequence that this code cannot be validated via the standard R CMD build
and R CMD check
commands.
Note that we insist that new contributions to Bioconductor interact with the existing Bioconductor ecosystem, which means that they should not rely on R packages that are not part of it. Disabling all the code in the vignette and examples that use ArchR is not considered good practice, and also doesn't address the real problem that ArchR is not part of the ecosystem in the first place. Have you considered discussing the submission of the ArchR package to Bioconductor with its authors/maintainers?
Other than that, I spotted 2 minor issues:
In the vignette's introduction, I would suggest being more accurate about this (my proposed edits are in bold):
"The MultiAssayExperiment container (implemented in the `r Biocpkg("MultiAssayExperiment")`
package) provides a framework to package the various modalities into a single ~dataset~ object on a per cell basis."
I see a lot of path constructions with things like paste0(outdir,"/", genome, "/", TF.list[i],".bed")
or paste0(dir, "chipatlas/", genome, "/", chipatlas.TFs[i])
where the path separator /
is hardcoded. This is not considered good practice because it's not portable. It's always better to build file paths with file.path()
or system.file()
. This also has the extra benefit of making the code more readable.
Thanks
Thank you so much for your comments @hpages. I will correct the minor issues.
Indeed, the integration between scMultiome and ArchR was intended to be seamless but was made challenging by the fact that ArchR is part of the BioC ecosystem. In fact, I am actively collaborating with @rcorces, the maintainer of ArchR. I have spoken with @rcorces on this and the issue is that many of ArchR's dependencies are not in BioC/CRAN. @rcorces can chime in more. In situations like this, what do you recommend @hpages ?
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... but was made challenging by the fact that ArchR is part of the BioC ecosystem.
You mean "by the fact that ArchR is NOT part of the BioC ecosystem".
In situations like this, what do you recommend?
I would recommend focusing on getting ArchR's dependencies on CRAN or Bioconductor. Then on getting ArchR itself on Bioconductor. Then finally on getting scMultiome in Bioconductor. This is the logical order. I'm afraid that trying to start with scMultiome is like trying to put the cart before the horse, unfortunately.
Best, H.
Thank you for your suggestions, @hpages
Combining input from @rcorces, here is my reply:
ArchR has 3 dependencies not currently in BioC/CRAN and this includes Monocle3. At this point, it's really beyond us to convince the other folks to get their packages into CRAN/BioC
I still believe scMultiome should be in BioC because it is an ExperimentHub data package and contains standalone functions independent from ArchR
We have 2 sections called ArchR Multiome Workflow and Conversion to MAE in the vignette. These sections may have created some confusion and misled the reader into thinking that scMultiome requires these 2 steps to function. This is not the case since scMultiome contains multimodal datasets with raw counts that are compatible with other downstream packages. I suggest to remove these 2 sections from the vignette. Our plan is to release a separate package to address ArchR-MAE integration.
I have already incorporated the other changes suggested by you and @lgatto
file.path
to construct paths rather than paste0
I hope the changes are acceptable
ArchR has 3 dependencies not currently in BioC/CRAN.
It's less than that. Strictly speaking all ArchR dependencies, i.e. all the packages listed in its Depends
field, are already in BioC/CRAN. Now it seems that ArchR also relies on some additional packages that can be installed with ArchR::installExtraPackages()
, and only one of them, presto, is not in BioC/CRAN at the moment. It's worth noting that presto's README.md file says that the package can be installed with install.packages('presto')
, even though that's not actually the case, but might be an indication that the authors intend to have the package on CRAN soon.
Note that for some reason ArchR::installExtraPackages()
installs harmony from GitHub even though the package is available on CRAN.
As for monocle3, I don't see it as a dependency, direct or indirect. But it's still worth noting that the DESCRIPTION file in the package has a biocViews
field, which suggests that the authors intend to submit the package to Bioconductor soon.
Anyways, the good news is that the situation is not as bad as you might think. In the end, only presto is not on BioC/CRAN yet, but it's not inconceivable that this could change soon :wink:
I suggest to remove these 2 sections from the vignette. Our plan is to release a separate package to address ArchR-MAE integration.
Sounds like a reasonable thing to do.
Thanks for the latest changes. I'll take another look ASAP.
H.
Hi @hpages, ArchR does depend on monocle3 in its trajectory analysis. ArchR does not state Monocle3 as a dependency in the DESCRIPTION file but it installs Monocle3 through the .requirePackage
function.
I will proceed to remove the two sections from the vignette
Two further changes:
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@xiaosaiyao @hpages - just to clarify about ArchR's dependencies.
Some of the things that are being discussed had previously been changed on the dev
branch of ArchR. In particular, the DESCRIPTION
file was inaccurate in previous versions and I updated it a few months ago but those updates are still sitting on dev
(https://github.com/GreenleafLab/ArchR/blob/dev/DESCRIPTION). In particular, monocle3 is now Suggested by ArchR.
@hpages Could you please comment on whether the package is good to go with all the latest changes? Thank you!
he's away for a few days. he'll be back next week
Just checking in on this submission...
Hi @xiaosaiyao ,
Sorry for the delay. Package looks good and is ready for inclusion to Bioconductor. Please delete the HTML vignette located in scMultiome/vignettes/
. The HTML vignette will be automatically generated by R CMD build
and placed in the resulting source tarball, so it should not be precomputed and placed in the package git repo.
Thanks, H.
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Sorry for the late reply @hpages as I was away for a conference. I have removed the html file and I saw that you have accepted the package. Thank you very much for your invaluable feedback!
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