leekgroup / regionreport Goto Github PK
View Code? Open in Web Editor NEWGenerate HTML report for a set of genomic regions or DESeq2/edgeR results
Home Page: http://leekgroup.github.io/regionReport
Generate HTML report for a set of genomic regions or DESeq2/edgeR results
Home Page: http://leekgroup.github.io/regionReport
Hi,
When running regionReport
with the DESeq2Report
function, I get the below error:
Error in curl::curl_fetch_memory(url, handle = handle) :
Failed to connect to data.crossref.org port 80: No route to host
I think it's something related to the proxy or unavailability of the server.
Although the error seems to come from the dependency package curl
, is there a way to fix or bypass this in regionReport
?
How?
Just figuring out how to properly cite some dependencies for the derfinderReport
app note.
jimhester/knitrBootstrap#48
rstudio/rmarkdown#79
ramnathv/rCharts#408
Given Karthik's third point from http://f1000research.com/articles/4-105/v1, it sounds like a great idea for regionReport
to upload html files to a gh-pages
branch in GitHub if the directory is indeed a git repo and the repo exists in GitHub in a place where the user has access to.
This is somewhat similar to ropensci/git2r#18.
These are related to knitrBoostrap
1.0.0 issue jimhester/knitrBootstrap#40
Basically, we need more than 1 observation per chr to make the density plots. See tidyverse/ggplot2#957
I am using regionReport to create a report from my defined regions in the cattle genome (no annotation provided):
report <- renderReport(regions, "Example bumphunter", pvalueVars = NULL,
densityVars = c("Area" = "area", "Value" = "value", "Cluster Length" = "clusterL"
), significantVar = NULL, output = "report", outdir = "report", device = "png")
I got an error in the annotation part regarding sequence lengths. I checked my regions, and there are regions with 1 base, so I am assuming this can be the issue.
No annotationPackage supplied. Trying org.Hs.eg.db.
Getting TSS and TSE.
Getting CSS and CSE.
Getting exons.
Annotating genes.
Quitting from lines 187-196 (DMR_report.Rmd)
Error in mergeNamedAtomicVectors(seqlengths(x), seqlengths(y), what = c("sequence", :
sequences chr8, chr2, chr3, chr18, chr19, chr11, chr10, chr17, chr14, chr4, chrX, chr9, chr21, chr1, chr13, chr5, chr6, chr16, chr7, chr12, chr15, chr20, chr22 have incompatible seqlengths:
- in 'x': 113319770, 136231102, 121005158, 65820629, 63449741, 106982474, 103308737, 73167244, 82403003, 120000601, 139009144, 105454467, 69862954, 158534110, 83472345, 120089316, 117806340, 81013979, 110682743, 87216183, 85007780, 71974595, 60773035
- in 'y': 146364022, 243199373, 198022430, 78077248, 59128983, 135006516, 135534747, 81195210, 107349540, 191154276, 155270560, 141213431, 48129895, 249250621, 115169878, 180915260, 171115067, 90354753, 159138663, 133851895, 102531392, 63025520, 51304566
#input file used
regions
GRanges object with 9013 ranges and 5 metadata columns:
seqnames ranges strand | value area cluster L clusterL
<Rle> <IRanges> <Rle> | <numeric> <numeric> <numeric> <numeric> <integer>
[1] chr8 75774711 * | 2.949010 2.94901 15171 1 4
[2] chr2 51908666-51908808 * | 0.612535 2.45014 7016 27734 4
[3] chr3 45240960-45241205 * | -0.448404 3.58723 11459 29451 8
[4] chr18 18018893-18019002 * | 0.669870 1.33974 5206 15759 2
[5] chr3 52425936-52426038 * | -0.817302 1.63460 11511 6018 2
... ... ... ... . ... ... ... ... ...
[9009] chr22 50902400 * | -0.100129 0.100129 8774 1 1
[9010] chr24 22850168 * | -0.100121 0.100121 9363 1 8
[9011] chr4 27093075 * | -0.100118 0.100118 12293 1 2
[9012] chr11 41409299 * | -0.100041 0.100041 1774 1 3
[9013] chr2 73146781 * | -0.100036 0.100036 7167 1 3
-------
Thank you
Hello,
First, thanks a lot for this wonderful package!
I am getting an error when generating an HTML report passing a ggplot2 theme to the DESeq2Report
function. The source code (regionReport/R/DESeq2Report.R
) shows that the error is due to the verification in line 175. Should the function ggplot2::is.theme()
be used instead of is()
in this line?
I'll appreciate you taking a look into this issue.
Best,
Hector
All the Bioconductor packages (including regionReport
) were installed via BiocManager::install()
using R (v4.3.1) installed via Homebrew.
library('pasilla')
#> Loading required package: DEXSeq
#> Loading required package: BiocParallel
#> Loading required package: Biobase
#> Loading required package: BiocGenerics
#>
#> Attaching package: 'BiocGenerics'
#> The following objects are masked from 'package:stats':
#>
#> IQR, mad, sd, var, xtabs
#> The following objects are masked from 'package:base':
#>
#> anyDuplicated, aperm, append, as.data.frame, basename, cbind,
#> colnames, dirname, do.call, duplicated, eval, evalq, Filter, Find,
#> get, grep, grepl, intersect, is.unsorted, lapply, Map, mapply,
#> match, mget, order, paste, pmax, pmax.int, pmin, pmin.int,
#> Position, rank, rbind, Reduce, rownames, sapply, setdiff, sort,
#> table, tapply, union, unique, unsplit, which.max, which.min
#> Welcome to Bioconductor
#>
#> Vignettes contain introductory material; view with
#> 'browseVignettes()'. To cite Bioconductor, see
#> 'citation("Biobase")', and for packages 'citation("pkgname")'.
#> Loading required package: SummarizedExperiment
#> Loading required package: MatrixGenerics
#> Loading required package: matrixStats
#>
#> Attaching package: 'matrixStats'
#> The following objects are masked from 'package:Biobase':
#>
#> anyMissing, rowMedians
#>
#> Attaching package: 'MatrixGenerics'
#> The following objects are masked from 'package:matrixStats':
#>
#> colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse,
#> colCounts, colCummaxs, colCummins, colCumprods, colCumsums,
#> colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs,
#> colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats,
#> colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds,
#> colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads,
#> colWeightedMeans, colWeightedMedians, colWeightedSds,
#> colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet,
#> rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods,
#> rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps,
#> rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins,
#> rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks,
#> rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars,
#> rowWeightedMads, rowWeightedMeans, rowWeightedMedians,
#> rowWeightedSds, rowWeightedVars
#> The following object is masked from 'package:Biobase':
#>
#> rowMedians
#> Loading required package: GenomicRanges
#> Loading required package: stats4
#> Loading required package: S4Vectors
#>
#> Attaching package: 'S4Vectors'
#> The following object is masked from 'package:utils':
#>
#> findMatches
#> The following objects are masked from 'package:base':
#>
#> expand.grid, I, unname
#> Loading required package: IRanges
#> Loading required package: GenomeInfoDb
#> Loading required package: DESeq2
#> Loading required package: AnnotationDbi
#> Loading required package: RColorBrewer
library('DESeq2')
library('ggplot2')
library('regionReport')
data("pasillaDEXSeqDataSet")
countData <- counts(dxd)
colData <- colData(dxd)[, c('condition', 'type')]
# Create DESeqDataSet object from the pasilla package
dds <- DESeqDataSetFromMatrix(countData = countData,
colData = colData,
design = ~ condition)
# Perform the differential expression analysis
dds <- DESeq(dds)
#> estimating size factors
#> estimating dispersions
#> gene-wise dispersion estimates
#> mean-dispersion relationship
#> final dispersion estimates
#> fitting model and testing
#> -- replacing outliers and refitting for 1 genes
#> -- DESeq argument 'minReplicatesForReplace' = 7
#> -- original counts are preserved in counts(dds)
#> estimating dispersions
#> fitting model and testing
dir.create('DESeq2-example', showWarnings = FALSE, recursive = TRUE)
# Create the HTML report
report <- DESeq2Report(dds, project = 'DESeq2 HTML report',
intgroup = c('condition', 'type'), outdir = 'DESeq2-example',
output = 'index', theme = theme_bw())
#> Error in is(theme, c("theme", "gg")): length(class2) == 1L is not TRUE
sessionInfo()
#> R version 4.3.1 (2023-06-16)
#> Platform: x86_64-apple-darwin22.4.0 (64-bit)
#> Running under: macOS Ventura 13.4.1
#>
#> Matrix products: default
#> BLAS: /usr/local/Cellar/openblas/0.3.23/lib/libopenblasp-r0.3.23.dylib
#> LAPACK: /usr/local/Cellar/r/4.3.1/lib/R/lib/libRlapack.dylib; LAPACK version 3.11.0
#>
#> locale:
#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#>
#> time zone: America/Chicago
#> tzcode source: internal
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> loaded via a namespace (and not attached):
#> [1] digest_0.6.33 fastmap_1.1.1 xfun_0.39 glue_1.6.2
#> [5] knitr_1.43 htmltools_0.5.5 rmarkdown_2.23 lifecycle_1.0.3
#> [9] cli_3.6.1 reprex_2.0.2 withr_2.5.0 compiler_4.3.1
#> [13] rstudioapi_0.15.0 tools_4.3.1 evaluate_0.21 yaml_2.3.7
#> [17] rlang_1.1.1 fs_1.6.2
example('renderReport', 'regionReport', ask=FALSE)
fails when using knitrBootstrap version 0.9.0. That's because knitrBootstrap::knit_bootstrap() returns NULL instead of the character vector with the name of the resulting HTML file. This problem is easily solvable, but first I need to make sure the bioc-git-svn bridge is working properly now that the repo lives in leekgroup. I also have to push the fix to the release branch.
Thanks to Peter Andrews for the bug report.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.