Closed LuyiTian closed 6 years ago
This is a resubmission of my package.
It now uses the SingleCellExperiment as the base class and works well with other packages like scater and scran. It also supports the recently released official bam tags for the UMI and cell barcode:https://github.com/samtools/hts-specs/pull/200#event-1221322336.
We have decided not to change the package name because we think it covers the main point of this package, which is a preprocessing pipeline of scRNA-seq. Apart from that, all other comments in the previous submission have been followed.
Dear @LuyiTian ,
You (or someone) has already posted that repository to our tracker.
See https://github.com/Bioconductor/Contributions/issues/489
You cannot post the same repository more than once. I am closing this issue.
Hi @LuyiTian
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: scPipe
Title: pipeline for single cell RNA-seq data analysis
Version: 0.99.20
Type: Package
Maintainer: Luyi Tian <tian.l@wehi.edu.au>
Author: Luyi Tian
Authors@R: c(person("Luyi", "Tian", role=c("aut", "cre"),
email="tian.l@wehi.edu.au"), person("Shian", "Su",
role=c("aut"), email="su.s@wehi.edu.au"), person("Matt",
"Ritchie", role=c("ctb"),
email="mritchie@wehi.edu.au"), person("Shalin",
"Naik", role=c("ctb"),
email="naik.s@wehi.edu.au"))
biocViews: Software, Sequencing, RNASeq, GeneExpression, SingleCell, Visualization,
SequenceMatching, Preprocessing, QualityControl, GenomeAnnotation
Description: to process single cell RNA-seq data from fastq to gene counting matrix. it can process data generated by CEL-seq, MARS-seq, Drop-seq and SMART-seq.
Depends: R (>= 3.4), ggplot2, methods, SingleCellExperiment
LinkingTo: Rcpp, Rhtslib, zlibbioc
Imports: Rhtslib, biomaRt, GGally, MASS, mclust, Rcpp (>= 0.11.3), reshape, BiocGenerics, robustbase, scales, utils, stats, S4Vectors, SummarizedExperiment
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: yes
URL: https://github.com/LuyiTian/scPipe
BugReports: https://github.com/LuyiTian/scPipe
Suggests: knitr, rmarkdown,
testthat, Rsubread
VignetteBuilder: knitr
Your package has been approved for building. Your package is now submitted to our queue.
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Received a valid push; starting a build. Commits are:
ac506d1 Update doc, fix warning Update doc to fix the war...
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Received a valid push; starting a build. Commits are:
0c757dd Update DESCRIPTION
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Your package has been built on Linux, Mac, and Windows.
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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Received a valid push; starting a build. Commits are:
592d502 fix win check error
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Hi @hpages I think all errors and warnings are fixed and it can be reviewed now. :)
Changing reviewer to vobencha since I reviewed of the original submission.
Hi,
The package looks much better. Thank you for reusing SingleCellExperiment. A few comments below.
1) man pages for datasets
Please describe the matrices. Are there column/row names and what do they mean? Were the data QC'd? The souce simply lists a person's name - better to have a web site or paper reference. Please include as many details as you can about the data.
Also add an \examples section where you show how to load and manipulate the data.
2) There are several typos in the vignette. You may want to run a spell checker.
3) Please remove LazyData = true. This rarely proves to be a good thing. In our experience it only slows down the loading of packages with large data.
Valerie
Received a valid push; starting a build. Commits are:
565ddb7 Update DESCRIPTION
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This is the automated single package builder at bioconductor.org.
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Congratulations! The package built without errors or warnings on all platforms.
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Received a valid push; starting a build. Commits are:
3570523 Final commit before second review
Hi, @vobencha I have made changes according to your review.
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