Closed js2264 closed 2 years ago
Hi @js2264
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: HiContactsData
Title: HiContacts companion data package
Version: 0.99.0
Date: 2022-08-16
Authors@R:
person(given = "Jacques",
family = "Serizay",
role = c("aut", "cre"),
email = "jacquesserizay@gmail.com")
Description:
Provides a collection of Hi-C files (pairs and (m)cool). These datasets can
be read into R and further investigated and visualized with the HiContacts
package. Data includes yeast Hi-C data generated by the Koszul lab from
the Pasteur Institute.
License: MIT + file LICENSE
URL: https://github.com/js2264/HiContactsData
BugReports: https://github.com/js2264/HiContactsData/issues
Depends:
ExperimentHub
Imports:
BiocFileCache,
AnnotationHub
Suggests:
HiContacts,
testthat,
methods,
knitr,
rmarkdown
biocViews:
ExperimentHub,
ExperimentData,
SequencingData
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: false
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
FYI, I am planning on submitting HiContacts (https://github.com/js2264/HiContacts) as an AdditionalPackage, as soon as the data package has been assigned a reviewer (according to following guidelines: https://github.com/Bioconductor/Contributions/blob/master/CONTRIBUTING.md#submitting-related-packages).
Sorry for the delay
Hi @vjcitn no worries for the delay. I guess we're now waiting for a reviewer to be assigned? Is there anything else I can do to make things go smoothly?
@lshep ... @js2264 already noted
Do not submit an AdditionalPackage with the line shown in step 3 until a review in progress tag has been added to your package and your first package receives a build report
Submit additional packages to the same issue. Do this by posting a comment containing a line like:
AdditionalPackage: https://github.com/username/repositoryname
so you'll have to wait a bit until the ingestion occurs, often at week's end.
A reviewer has been assigned to your package. Learn what to expect during the review process.
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On one or more platforms, the build results were: "ERROR". This may mean there is a problem with the package that you need to fix. Or it may mean that there is a problem with the build system itself.
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AdditionalPackage: https://github.com/js2264/HiContacts
Hi @js2264, Thanks for submitting your additional package: https://github.com/js2264/HiContacts. We are taking a quick look at it and you will hear back from us soon.
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Hi Jaques @js2264
Thank you for your submission. Please see the review below for the data package. Feel free to respond via the comments.
Best, Marcel
BiocStyle
.HiContactsDataFiles
may not be necessary, see below.data.frame
. It can contain several columns, e.g., sample
, format
,
AHID
, genome
, condition
and description
.data.frame
and
get the AHID
.dry.run
argument to allow the user to see the data.frame
from HiContactsDataFiles
when it is FALSE
.rm -rf
command in the code. We cannot accept a package
that does this. You may not need the extension for the function that reads
it in, e.g. in rhdf5
.library(HiContactsData)
call in the vignette, you can remove
the noise with message=FALSE,warning=FALSE,include=TRUE,results="hide"
in the chunk options.Additional Package has been approved for building.
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Hi Marcel @LiNk-NY,
Thank you for your review. I have addressed your comments in the coming series of commits. The only thing I do not quite understand is your reference to using BiocStyle
for DESCRIPTION. Could you please clarify what changes you'd want me to do ? I have originally generated the DESCRIPTION from biocthis::use_bioc_description()
and added useful entries to it.
DESCRIPTION
- Looks good.
- Consider using
BiocStyle
.
Thanks again, J
Hi Jaques, @js2264
I mean using BiocStyle
for the vignette and adding it to the Suggests
field in the DESCRIPTION.
See here for more details.
Best,
Marcel
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Hi Jacques, @js2264
Thank you for your submission. Please see the review of the software package below.
Best regards, Marcel
You've put a lot of work into the package. It may be best to divide the package into two based on the functionality provided. One package could host all the visualization functionality and the other the computational work. This would allow users to choose the needed functionality and avoid the high number of dependencies. The design of the class is good but may need some pruning of slots and methods.
Suggests
field.pkgndep
analysis to reduce the number of dependencies in
the package..summary
. Objects that start with
a .
(dot) are usually meant to be unexported.HiContactsData
.GenomicRanges
thoughout
(virtual4C
). The tibble
may be useful for plotting but other tools might
make more use of a GRanges
object.APA
).@
in code (e.g., APA
). Create a standard interface with
replacement methods.APA
, e.g., APA_
, APA2
. It is not clear
what their purpose is.%>% <- tidyr::%>%
, use the native |>
pipe.contacts_list[[1]]
and
use more robust named indices.
Minor:R/checks.R
by removing
conditions that are redundant for example, grepl(' x ', focus(contacts))
already returns TRUE
and FALSE
in is_centered
.metadata = list()
, features = SimpleList()
, etc.path
generic clashes with the path
generic in BiocIO
consider
using a different name. Avoid relying on an element in the metadata as the
metadata usually does not have a structure or checks and create a more formal
slot for the class.scores
is too similar to score
in BiocGenerics
, consider using the
latter.features
usually refers to row wise annotations, to avoid confusion either
use a different name or consider using something like rowData
/rowRanges
.
The extractor returns a SimpleList
but the replacement method accepts
GRangesOrGInteractions
? This is not consistent.HiContactsData
package.getCounts2
. Is there a
getCounts1
?FALSE
by default.It's good that you have tests. Consider adding tests for those with 0%.
covr::package_coverage()
HiContacts Coverage: 38.11%
R/APA.R: 0.00%
R/scalogram.R: 0.00%
R/parse.R: 4.62%
R/utils.R: 7.75%
R/contacts.R: 21.83%
R/checks.R: 40.00%
R/plotMatrix.R: 48.26%
R/ggthemes.R: 50.00%
R/Ps.R: 78.57%
R/arithmetics.R: 78.79%
R/cistrans.R: 95.65%
R/4C.R: 100.00%
Hi Marcel @LiNk-NY
Thank you for your thorough review and useful comments. I have turned your comments into a check list. The items that are still unticked have further explanations below. Let me know if anything is not clear and what I should do (including additional required changes ?).
## DESCRIPTION
Suggests
field.pkgndep
analysis to reduce the number of dependencies in the package.I used pkgndep
and dstr
to identify as many packages as possible to remove. I got rid of purrr
, dropped BiocParallel
(since it was only used in APA
function which is not ready yet and requires significant work to finish it, so I'm currently developing it in another branch). I also rewrote a bit my code to remove zeallot
. I believe all the other dependencies are definitely required.
## NAMESPACE
.summary
. Objects that start with a .
(dot) are usually meant to be unexported.HiContactsData
.## Vignettes
I've corrected most of it, except for the internal check functions. I usually have check function names as snake_make to differentiate them from other functions. These check functions systematically return boolean values and are mostly used internally, at the beginning of functions. Is it ok to keep them in snake_make? Otherwise I can change them to camelCase, just let me know.
## R
GenomicRanges
thoughout (virtual4C
). The tibble
may be useful for plotting but other tools might make more use of a GRanges
object.APA
).@
in code (e.g., APA
). Create a standard interface with replacement methods.APA
, e.g., `APA,
APA2`. It is not clear what their purpose is._%>% <- tidyr::%>%
, use the native |>
pipe.contacts_list[[1]]
and use more robust named indices._I have made some changes when possible (e.g. in anchors(x)[[1]]
-> anchors(x)[['first']]
). But regarding contacts_list[[1]]
, I am not sure how to change that to something else. I've added a check to make sure that at least 2 elements are contained in the contacts_list
argument. Do you think that is enough, or would you want additional changes?
## Minor:
R/checks.R
by removing conditions that are redundant for example, grepl(' x ', focus(contacts))
already returns TRUE
and FALSE
in is_centered
._metadata = list()
, features = SimpleList()
, etc.path
generic clashes with the path
generic in BiocIO
consider using a different name. Avoid relying on an element in the metadata as the metadata usually does not have a structure or checks and create a more formal slot for the class.scores
is too similar to score
in BiocGenerics
, consider using the latter.I thought about using score
name. However, AFAIK, score
in BiocGenerics
generally returns a vector. In HiContacts
, scores
returns a GInteractions
object with, for each interaction, an associated score. All the functions in the package are built on scores()
and it would be a lot of work to modify it to behave in a similar way to score()
. I can make that change, of course, if you think it is a requirement, but since this was in your minor comments I thought I'd ask before starting all of this.
features
usually refers to row wise annotations, to avoid confusion either use a different name or consider using something like rowData
/rowRanges
. The extractor returns a SimpleList
but the replacement method accepts GRangesOrGInteractions
? This is not consistent.I don't think changing features
to rowData
/rowRanges
would be appropriate. In this package, features
really refers to genomic features (could be chromatin loops, TSSs, compartment borders, whatever the user wants). A user might be interested in analysing a contact matrix in the light of these features and the features
slot is a way to "enrich" the contacts
object with these. These genomic features are not necessarily related to the interactions themselves, and there is no direct correspondance between "rows" (i.e. interactions, here) and features, as it is the case in SummarizedExperiments
and co. Finally, AFAIK, I can only see 2 contexts in which "features" is frequently used in Bioconductor: either GenomicFeatures
package or "feature selection" (typically in scRNAseq); these are very specific contexts and I believe people studying chromatin architecture would not be mistaken. With that said, do let me know if you think "features" still needs to be renamed and I'll happily find something else!
HiContactsData
package.The data.R
documentation describes contacts
objects shipped with HiContacts
(see data
folder). I thought I would put these objects in HiContacts
rather than HiContactsData
since they are contacts
objects and thus require HiContacts
. Should I move them to HiContactsData
?
getCounts2
. Is there a getCounts1
?FALSE
by default.Hi Marcel @LiNk-NY Just to let you know I have made some comments in the post above, there are few points that would need an input from you when you have a minute. Many thanks again!
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Another point to mention is that generating the vignette with BiocStyle
leads to the package tarball exceeding the size requirements. BiocCheck has been running on my GHAs: in commit 702819c the vignette was generated with BiocStyle
(BiocCheck results: here) and in the next commit (a8390e5), I only changed the vignette style back to default rmarkdown::html_output
(BiocCheck results: here).
I have tried with BiocStyle::pdf_document
and tarball is still too big. I have tried reducing the number and resolution of the images displayed in the vignette, but still not small enough. How do people usually deal with such limitations?
Thanks for your advices!
- [ ] There is a mix of camelCase and snakecase use. Is there a difference between uses? Otherwise, it's best to keep the function names consistently named.
I've corrected most of it, except for the internal check functions. I usually have check function names as snake_make to differentiate them from other functions. These check functions systematically return boolean values and are mostly used internally, at the beginning of functions. Is it ok to keep them in snake_make? Otherwise I can change them to camelCase, just let me know.
Yes, that's okay to keep them as snake_case. Usually non-exported functions start with a .
by convention.
- [ ] _Where possible avoid using numeric indices, e.g.,
contacts_list[[1]]
and use more robust named indices._I have made some changes when possible (e.g. in
anchors(x)[[1]]
->anchors(x)[['first']]
). But regardingcontacts_list[[1]]
, I am not sure how to change that to something else. I've added a check to make sure that at least 2 elements are contained in thecontacts_list
argument. Do you think that is enough, or would you want additional changes?
That would be good. Ideally, these elements would be named but it is not always possible.
- [ ]
scores
is too similar toscore
inBiocGenerics
, consider using the latter.I thought about using
score
name. However, AFAIK,score
inBiocGenerics
generally returns a vector. InHiContacts
,scores
returns aGInteractions
object with, for each interaction, an associated score. All the functions in the package are built onscores()
and it would be a lot of work to modify it to behave in a similar way toscore()
. I can make that change, of course, if you think it is a requirement, but since this was in your minor comments I thought I'd ask before starting all of this.
It may be better to use a different name. One would expect the scores
function to return a vector of values.
- [ ]
features
usually refers to row wise annotations, to avoid confusion either use a different name or consider using something likerowData
/rowRanges
. The extractor returns aSimpleList
but the replacement method acceptsGRangesOrGInteractions
? This is not consistent.I don't think changing
features
torowData
/rowRanges
would be appropriate. In this package,features
really refers to genomic features (could be chromatin loops, TSSs, compartment borders, whatever the user wants). A user might be interested in analysing a contact matrix in the light of these features and thefeatures
slot is a way to "enrich" thecontacts
object with these. These genomic features are not necessarily related to the interactions themselves, and there is no direct correspondance between "rows" (i.e. interactions, here) and features, as it is the case inSummarizedExperiments
and co. Finally, AFAIK, I can only see 2 contexts in which "features" is frequently used in Bioconductor: eitherGenomicFeatures
package or "feature selection" (typically in scRNAseq); these are very specific contexts and I believe people studying chromatin architecture would not be mistaken. With that said, do let me know if you think "features" still needs to be renamed and I'll happily find something else!
features
is quite a vague term to begin with. It would be good to think of another name that more accurately represents the data.
- [ ] The data documentation belongs in the
HiContactsData
package.The
data.R
documentation describescontacts
objects shipped withHiContacts
(seedata
folder). I thought I would put these objects inHiContacts
rather thanHiContactsData
since they arecontacts
objects and thus requireHiContacts
. Should I move them toHiContactsData
?
Perhaps I misunderstood this part of the package because I saw the @source HiContactsData
tag. It seems to be duplicated data and the only difference is that contacts
is run on the data. I would opt for only providing the code to run the contacts
function on the data in the documentation somewhere rather than re-saving a different version of the original data, if I understand this correctly.
Best, Marcel
Another point to mention is that generating the vignette with
BiocStyle
leads to the package tarball exceeding the size requirements. BiocCheck has been running on my GHAs: in commit 702819c the vignette was generated withBiocStyle
(BiocCheck results: here) and in the next commit (a8390e5), I only changed the vignette style back to defaultrmarkdown::html_output
(BiocCheck results: here). I have tried withBiocStyle::pdf_document
and tarball is still too big. I have tried reducing the number and resolution of the images displayed in the vignette, but still not small enough. How do people usually deal with such limitations? Thanks for your advices!
Hi Jacques, @js2264
This is likely due to the re-saving data step above. Remove the data duplicated from HiContactsData
and only provide the code to run the contacts
dataset (possibly showing this in the vignette is sufficient). This should reduce the size of the package tarball.
Hi Marcel @LiNk-NY ,
Thanks for your input. I'll try to solve as many of the unticked boxes. For now:
features
slot (a SimpleList): I have several suggestions: TopologicalFeatures
, annotations
, GenomicAnnotations
? To recap, the features
slot is a SimpleList containing GRanges and/or GInteractions, and is meant to be used to conveniently store coordinates of topological features (chromatin loops, domain borders) or viewpoint (loci of interest). scores
: I've updated the scores
method so that it consistently returns a numeric vector. I really can't think of any other name that would not be already suggestive of something else. BTW, I cannot use score
, as the score
method only takes a single element in the signature, and I need two (signature(x = "contacts", name = "character")
). Would scores
be good enough, with the changes I described? (I need to check all of this before pushing to BBS)I think topologicalFeatures
sounds good. Note that functions / names that start with capital letters usually denote classes.
The method should follow the contract set forth by the generic. The score
generic is an extractor for the "scores"
column in the object, wherever that may be, e.g., in mcols
or in a slot.
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Hi Marcel @LiNk-NY
I have pushed several commits to HiContacts package. To address your comments, I have:
scores
so that it consistently output numeric vectors. contacts
. contacts
objects, I have created functions to fetch toy (m)cool files from HiContactsData
and parse them into toy contacts
objectsBiocStyle
vignettes (and tarball size looks ok :) )Let me know if something remains to be re-worked.
Hi Jacques, @js2264
.globalEnv
with functions such as full_contacts_yeast
. new.env(parent = emptyenv())
and use data()
with the envir
argument.Consider separating the plotting functionality from the computational one. It would lower the number of dependencies for those that only want to use the non-plotting functions.
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Hi Marcel @LiNk-NY
HiContactsData
DESCRIPTION;full_contacts_yeast
from globals;data()
to run in a new.env
;Regarding splitting package in two,GenomicInteractions
already imports ggplot2
, so this is not really an extra dependency, as it will have to be installed anyway. For this reason, I believe that it is ok having HiContacts
including plotting functions. Also, in my research experience, operations such as computing distance laws, 4C profiles, cis-trans ratios and other arithmetics of Hi-C experiments are never done without displaying corresponding Hi-C contact maps , which is why I strongly think this functionality should remain a part of HiContacts
package.
What do you think? Thanks for your advices!
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