macs3-project / macsr Goto Github PK
View Code? Open in Web Editor NEWMACS3 R/BioC wrapper
Home Page: https://macs3-project.github.io/MACSr/
License: BSD 3-Clause "New" or "Revised" License
MACS3 R/BioC wrapper
Home Page: https://macs3-project.github.io/MACSr/
License: BSD 3-Clause "New" or "Revised" License
@taoliu Please active github pages to master/docs/. Thanks!
Hello,
I was trying to install MACSr under R4.1.0, Win10. However, it failed with the following error. I am not experienced with R, and wonder if you can give me some advice? I have Rtools installed. Thank you very much!
The downloaded source packages are in
‘C:\Users\zhuyi\AppData\Local\Temp\Rtmp65W18b\downloaded_packages’
Warning message:
In .inet_warning(msg) :
installation of package ‘MACSr’ had non-zero exit status
Hi,
I tried calling callpeak on a BAM file:
callpeak("demux_testfastq_S1_L001_R1_001_aligned.bam")
Error in system2(python.cmd, c("-E", "-c", shQuote("print(1)")), stdout = TRUE, :
'"C:\Users\phily\AppData\Local\basilisk\1.3.6/0/python.exe"' not found
I'm using the R development version (4.1.0) and on Windows 10.
I've encountered an error when running callpeak
, both with my custom files and the example code included in the documentation:
eh <- ExperimentHub::ExperimentHub()
CHIP <- eh[["EH4558"]]
CTRL <- eh[["EH4563"]]
res <- callpeak(CHIP, CTRL, gsize = 5.2e7,
cutoff_analysis = TRUE,
outdir = tempdir(),
name = "callpeak_narrow0")
+ '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/0/bin/conda' 'create' '--yes' '--prefix' '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs' 'python=3.8.13' '--quiet' '-c' 'conda-forge'
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
## Package Plan ##
environment location: /Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs
added / updated specs:
- python=3.8.13
The following packages will be downloaded:
package | build
---------------------------|-----------------
bzip2-1.0.8 | h0d85af4_4 155 KB conda-forge
ca-certificates-2022.9.24 | h033912b_0 150 KB conda-forge
libffi-3.4.2 | h0d85af4_5 50 KB conda-forge
libsqlite-3.39.3 | ha978bb4_0 871 KB conda-forge
libzlib-1.2.12 | hfd90126_3 65 KB conda-forge
ncurses-6.3 | h96cf925_1 915 KB conda-forge
openssl-3.0.5 | hfd90126_2 2.5 MB conda-forge
pip-22.2.2 | pyhd8ed1ab_0 1.5 MB conda-forge
python-3.8.13 |h66c20e1_0_cpython 12.8 MB conda-forge
readline-8.1.2 | h3899abd_0 266 KB conda-forge
setuptools-65.4.0 | pyhd8ed1ab_0 731 KB conda-forge
sqlite-3.39.3 | h9ae0607_0 875 KB conda-forge
tk-8.6.12 | h5dbffcc_0 3.4 MB conda-forge
wheel-0.37.1 | pyhd8ed1ab_0 31 KB conda-forge
xz-5.2.6 | h775f41a_0 233 KB conda-forge
------------------------------------------------------------
Total: 24.4 MB
The following NEW packages will be INSTALLED:
bzip2 conda-forge/osx-64::bzip2-1.0.8-h0d85af4_4
ca-certificates conda-forge/osx-64::ca-certificates-2022.9.24-h033912b_0
libffi conda-forge/osx-64::libffi-3.4.2-h0d85af4_5
libsqlite conda-forge/osx-64::libsqlite-3.39.3-ha978bb4_0
libzlib conda-forge/osx-64::libzlib-1.2.12-hfd90126_3
ncurses conda-forge/osx-64::ncurses-6.3-h96cf925_1
openssl conda-forge/osx-64::openssl-3.0.5-hfd90126_2
pip conda-forge/noarch::pip-22.2.2-pyhd8ed1ab_0
python conda-forge/osx-64::python-3.8.13-h66c20e1_0_cpython
readline conda-forge/osx-64::readline-8.1.2-h3899abd_0
setuptools conda-forge/noarch::setuptools-65.4.0-pyhd8ed1ab_0
sqlite conda-forge/osx-64::sqlite-3.39.3-h9ae0607_0
tk conda-forge/osx-64::tk-8.6.12-h5dbffcc_0
wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
xz conda-forge/osx-64::xz-5.2.6-h775f41a_0
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
+ '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/0/bin/conda' 'install' '--yes' '--prefix' '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs' 'python=3.8.13'
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
# All requested packages already installed.
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
+ '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/0/bin/conda' 'install' '--yes' '--prefix' '/Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs' '-c' 'conda-forge' 'python=3.8.13' 'numpy=1.17'
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
## Package Plan ##
environment location: /Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs
added / updated specs:
- numpy=1.17
- python=3.8.13
The following packages will be downloaded:
package | build
---------------------------|-----------------
libblas-3.9.0 |16_osx64_openblas 13 KB conda-forge
libcblas-3.9.0 |16_osx64_openblas 13 KB conda-forge
libgfortran-5.0.0 |10_4_0_h97931a8_25 146 KB conda-forge
libgfortran5-11.3.0 | h082f757_25 1.9 MB conda-forge
liblapack-3.9.0 |16_osx64_openblas 13 KB conda-forge
libopenblas-0.3.21 |openmp_h429af6e_3 9.6 MB conda-forge
llvm-openmp-14.0.4 | ha654fa7_0 329 KB conda-forge
numpy-1.17.5 | py38h6ced74f_1 5.0 MB conda-forge
python_abi-3.8 | 2_cp38 4 KB conda-forge
------------------------------------------------------------
Total: 17.0 MB
The following NEW packages will be INSTALLED:
libblas conda-forge/osx-64::libblas-3.9.0-16_osx64_openblas
libcblas conda-forge/osx-64::libcblas-3.9.0-16_osx64_openblas
libgfortran conda-forge/osx-64::libgfortran-5.0.0-10_4_0_h97931a8_25
libgfortran5 conda-forge/osx-64::libgfortran5-11.3.0-h082f757_25
liblapack conda-forge/osx-64::liblapack-3.9.0-16_osx64_openblas
libopenblas conda-forge/osx-64::libopenblas-0.3.21-openmp_h429af6e_3
llvm-openmp conda-forge/osx-64::llvm-openmp-14.0.4-ha654fa7_0
numpy conda-forge/osx-64::numpy-1.17.5-py38h6ced74f_1
python_abi conda-forge/osx-64::python_abi-3.8-2_cp38
Downloading and Extracting Packages
libgfortran5-11.3.0 | 1.9 MB | ########## | 100%
libgfortran-5.0.0 | 146 KB | ########## | 100%
libopenblas-0.3.21 | 9.6 MB | ########## | 100%
libblas-3.9.0 | 13 KB | ########## | 100%
numpy-1.17.5 | 5.0 MB | ########## | 100%
llvm-openmp-14.0.4 | 329 KB | ########## | 100%
python_abi-3.8 | 4 KB | ########## | 100%
liblapack-3.9.0 | 13 KB | ########## | 100%
libcblas-3.9.0 | 13 KB | ########## | 100%
Preparing transaction: ...working... done
Verifying transaction: ...working... done
Executing transaction: ...working... done
==> WARNING: A newer version of conda exists. <==
current version: 4.12.0
latest version: 22.9.0
Please update conda by running
$ conda update -n base -c defaults conda
Collecting macs3==3.0.0a6
Using cached MACS3-3.0.0a6.tar.gz (606 kB)
Installing build dependencies: started
Installing build dependencies: finished with status 'done'
Getting requirements to build wheel: started
Getting requirements to build wheel: finished with status 'done'
Preparing metadata (pyproject.toml): started
Preparing metadata (pyproject.toml): finished with status 'done'
Collecting cykhash>=1.0.2
Using cached cykhash-2.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Requirement already satisfied: numpy>=1.17 in /Users/schilder/Library/Caches/org.R-project.R/R/basilisk/1.9.11/MACSr/0.99.15/env_macs/lib/python3.8/site-packages (from macs3==3.0.0a6) (1.17.5)
Collecting Cython>=0.29
Using cached Cython-0.29.32-py2.py3-none-any.whl (986 kB)
Building wheels for collected packages: macs3
Building wheel for macs3 (pyproject.toml): started
Building wheel for macs3 (pyproject.toml): still running...
Building wheel for macs3 (pyproject.toml): finished with status 'done'
Created wheel for macs3: filename=MACS3-3.0.0a6-cp38-cp38-macosx_10_9_x86_64.whl size=1853285 sha256=aadfab20998542cff254344b0efef4878c8aa63ea308f711570f8c3fec3659ae
Stored in directory: /Users/schilder/Library/Caches/pip/wheels/95/4f/28/2ee87a153a82277a0adb1a1ab81ea9c97161e1f4eb1d9a0059
Successfully built macs3
Installing collected packages: cykhash, Cython, macs3
Successfully installed Cython-0.29.32 cykhash-2.0.0 macs3-3.0.0a6
Error in py_module_import(module, convert = convert) :
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 96 from C header, got 80 from PyObject
Matrix products: default
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] MACSr_0.99.15 MACSdata_1.5.0 dplyr_1.0.10 TIPseeker_0.99.0
loaded via a namespace (and not attached):
[1] ica_1.0-3 RcppRoll_0.3.0
[3] class_7.3-20 Rsamtools_2.13.4
[5] lmtest_0.9-40 rprojroot_2.0.3
[7] crayon_1.5.1 spatstat.core_2.4-4
[9] MASS_7.3-58.1 nlme_3.1-159
[11] impute_1.71.0 basilisk_1.9.11
[13] GOSemSim_2.23.0 rlang_1.0.6
[15] XVector_0.37.1 ROCR_1.0-11
[17] readxl_1.4.1 irlba_2.3.5
[19] filelock_1.0.2 BiocParallel_1.31.12
[21] rjson_0.2.21 bit64_4.0.5
[23] glue_1.6.2 scKirby_0.1.0
[25] sctransform_0.3.5 parallel_4.2.1
[27] spatstat.sparse_2.1-1 AnnotationDbi_1.59.1
[29] BiocGenerics_0.43.4 DOSE_3.23.2
[31] spatstat.geom_2.4-0 tidyselect_1.1.2
[33] SummarizedExperiment_1.27.3 SeuratObject_4.1.2
[35] fitdistrplus_1.1-8 XML_3.99-0.10
[37] tidyr_1.2.1 zoo_1.8-11
[39] GenomicAlignments_1.33.1 xtable_1.8-4
[41] magrittr_2.0.3 evaluate_0.16
[43] ggplot2_3.3.6 cli_3.4.1
[45] zlibbioc_1.43.0 rstudioapi_0.14
[47] miniUI_0.1.1.1 sp_1.5-0
[49] rpart_4.1.16 fastmatch_1.1-3
[51] treeio_1.21.2 seqPattern_1.29.0
[53] EpiCompare_1.1.1 shiny_1.7.2
[55] xfun_0.33 ArchR_1.0.2
[57] cluster_2.1.4 genomation_1.29.0
[59] caTools_1.18.2 tidygraph_1.2.2
[61] KEGGREST_1.37.3 tibble_3.1.8
[63] interactiveDisplayBase_1.35.0 expm_0.999-6
[65] ggrepel_0.9.1 ape_5.6-2
[67] listenv_0.8.0 xlsxjars_0.6.1
[69] Biostrings_2.65.6 png_0.1-7
[71] future_1.28.0 withr_2.5.0
[73] bitops_1.0-7 ggforce_0.3.4
[75] aws.signature_0.6.0 plyr_1.8.7
[77] cellranger_1.1.0 e1071_1.7-11
[79] pillar_1.8.1 gplots_3.1.3
[81] cachem_1.0.6 GenomicFeatures_1.49.7
[83] vctrs_0.4.1 ellipsis_0.3.2
[85] generics_0.1.3 tools_4.2.1
[87] munsell_0.5.0 tweenr_2.0.2
[89] fgsea_1.23.2 aws.s3_0.3.21
[91] proxy_0.4-27 DelayedArray_0.23.2
[93] fastmap_1.1.0 compiler_4.2.1
[95] pkgload_1.3.0 abind_1.4-5
[97] httpuv_1.6.6 rtracklayer_1.57.0
[99] ExperimentHub_2.5.0 TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
[101] DescTools_0.99.46 plotly_4.10.0
[103] rgeos_0.5-9 rJava_1.0-6
[105] GenomeInfoDbData_1.2.8 gridExtra_2.3
[107] lattice_0.20-45 dir.expiry_1.5.1
[109] deldir_1.0-6 utf8_1.2.2
[111] later_1.3.0 BiocFileCache_2.5.0
[113] jsonlite_1.8.0 scales_1.2.1
[115] gld_2.6.5 tidytree_0.4.1
[117] pbapply_1.5-0 genefilter_1.79.0
[119] lazyeval_0.2.2 promises_1.2.0.1
[121] goftest_1.2-3 spatstat.utils_2.3-1
[123] reticulate_1.26 rmarkdown_2.16
[125] cowplot_1.1.1 Rtsne_0.16
[127] BSgenome_1.65.2 Biobase_2.57.1
[129] uwot_0.1.14 igraph_1.3.5
[131] survival_3.4-0 yaml_2.3.5
[133] plotrix_3.8-2 htmltools_0.5.3
[135] memoise_2.0.1 BiocIO_1.7.1
[137] Seurat_4.2.0 locfit_1.5-9.6
[139] graphlayouts_0.8.1 IRanges_2.31.2
[141] here_1.0.1 viridisLite_0.4.1
[143] digest_0.6.29 assertthat_0.2.1
[145] mime_0.12 rappdirs_0.3.3
[147] RSQLite_2.2.17 xlsx_0.6.5
[149] yulab.utils_0.0.5 future.apply_1.9.1
[151] Exact_3.2 data.table_1.14.2
[153] blob_1.2.3 S4Vectors_0.35.4
[155] splines_4.2.1 AnnotationHub_3.5.1
[157] RCurl_1.98-1.8 hms_1.1.2
[159] colorspace_2.0-3 BRGenomics_1.9.0
[161] base64enc_0.1-3 BiocManager_1.30.18
[163] GenomicRanges_1.49.1 aplot_0.1.7
[165] Signac_1.8.0 Rcpp_1.0.9
[167] RANN_2.6.1 mvtnorm_1.1-3
[169] enrichplot_1.17.2 fansi_1.0.3
[171] tzdb_0.3.0 parallelly_1.32.1
[173] ChIPseeker_1.33.2 R6_2.5.1
[175] grid_4.2.1 ggridges_0.5.4
[177] lifecycle_1.0.2 rootSolve_1.8.2.3
[179] curl_4.3.2 leiden_0.4.3
[181] DO.db_2.9 Matrix_1.5-1
[183] qvalue_2.29.0 RcppAnnoy_0.0.19
[185] RColorBrewer_1.1-3 stringr_1.4.1
[187] htmlwidgets_1.5.4 polyclip_1.10-0
[189] biomaRt_2.53.2 purrr_0.3.4
[191] shadowtext_0.1.2 gridGraphics_0.5-1
[193] mgcv_1.8-40 globals_0.16.1
[195] lmom_2.9 patchwork_1.1.2
[197] spatstat.random_2.2-0 progressr_0.11.0
[199] codetools_0.2-18 matrixStats_0.62.0
[201] GO.db_3.15.0 gtools_3.9.3
[203] prettyunits_1.1.1 dbplyr_2.2.1
[205] basilisk.utils_1.9.4 gridBase_0.4-7
[207] GenomeInfoDb_1.33.7 gtable_0.3.1
[209] DBI_1.1.3 stats4_4.2.1
[211] ggfun_0.0.7 tensor_1.5
[213] httr_1.4.4 KernSmooth_2.23-20
[215] stringi_1.7.8 progress_1.2.2
[217] reshape2_1.4.4 farver_2.1.1
[219] annotate_1.75.0 viridis_0.6.2
[221] ggtree_3.5.3 xml2_1.3.3
[223] boot_1.3-28 restfulr_0.0.15
[225] readr_2.1.2 geneplotter_1.75.0
[227] ggplotify_0.1.0 scattermore_0.8
[229] BiocVersion_3.16.0 DESeq2_1.37.6
[231] bit_4.0.4 scatterpie_0.1.8
[233] MatrixGenerics_1.9.1 spatstat.data_2.2-0
[235] ggraph_2.0.6 pkgconfig_2.0.3
[237] knitr_1.40
</details>
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.