The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
TidyMultiqc Provides the means to convert ‘multiqc_data.json’ files, produced by the wonderful ‘MultiQC’ tool, into tidy data frames for downstream analysis in R.
Please visit the pkgdown website for a comprehensive tutorial and function documentation.
The latest stable version can be installed from CRAN:
install.packages("TidyMultiqc")You can also install the development version of TidyMultiqc from GitHub with:
# install.packages("devtools")
devtools::install_github("multimeric/TidyMultiqc")TidyMultiqc::load_multiqc(multiqc_data_path)
#> # A tibble: 6 × 165
#> metadata.sample_id general.total_reads general.mapped_reads general.percentag…
#> <chr> <dbl> <dbl> <dbl>
#> 1 P4107_1003 868204107 847562410 97.6
#> 2 P4107_1004 1002828927 985115356 98.2
#> 3 P4107_1005 974955793 955921317 98.0
#> 4 P4107_1002 865975844 847067526 97.8
#> 5 P4107_1006 912383669 894970438 98.1
#> 6 P4107_1001 772071557 751147332 97.3
#> # … with 161 more variables: general.median_coverage <int>,
#> # general.median_insert_size <int>, general.avg_gc <dbl>,
#> # general.1_x_pc <dbl>, general.5_x_pc <dbl>, general.10_x_pc <dbl>,
#> # general.30_x_pc <dbl>, general.50_x_pc <dbl>, general.genome <chr>,
#> # general.number_of_variants_before_filter <dbl>,
#> # general.number_of_known_variants_brie_non_empty_id <dbl>,
#> # general.number_of_known_variants_brie_non_empty_id_percent <dbl>, …These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.