Change here to match sample description. I.e:
Breast cancer tumor biopsies from study “XX” 2021.
RNAseq protocol: XX
NovaSeq6000 output, processed by dragen v.3.8.
Directory searched for *fastqc_metrics.csv files:
## [1] "Novaseq_RNA_0012"
Aggregated output saved as “Dragen_FastQC_aggregate_RunID.csv”
Total number of reads. Each average Phred-scale quality value is rounded to the nearest integer.
Average Phred-scale quality value of bases with a specific nucleotide at a given location in the read. Locations are listed first and can be either specific positions or ranges. The nucleotide is listed second and can be A, C, G, or T. N or ambiguous bases are assumed to have the system default value, usually QV2.
Number of bases of each specific nucleotide at given locations in the read. Locations are given first and can be either specific positions or ranges. The nucleotide is listed second and can be A, C, G, T, N.
Per-Position Sequence Content heatmap and Per-Position N Content
Total number of reads with each observed length.
Total number of reads with each GC content percentile between 0% and 100%.
Average Phred-scale read mean quality for reads with each GC content percentile between 0% and 100%.
Number of times an adapter or other kmer sequence is found, starting at a given position in the input reads. Sequences are listed first in the metric description in quotes. Locations are listed second and can be either specific positions or ranges.
From the Illumina Dragen manual:
“DRAGEN contains a novel lossless soft-trimming mode. In soft-trimming mode, reads are mapped as though they had been trimmed, but no bases are removed. The intention of soft trimming is to suppress systematic mismapping of reads containing trimmable artifacts, such as Poly-G artifacts, from getting mapped to reference G homopolymers or adapter sequences getting mapped to matching reference loci, without actually losing the trimmed bases in aligned output.”
Phred-scale quality value for bases at a given location and a given quantile of the distribution. Locations are listed first and can be either specific positions or ranges. Quantiles are listed second and can be any whole integer 0–100.
This plot represent the same type of plot as the Box and Whisker plot generated by fastQC. The major difference is that here we plot all values from fastqc output and not just min, max and the interquartile range. For samples with low phred score, the plot will become darker. The brighter the plot, the better the overall score.
sessionInfo()
## R version 4.1.2 (2021-11-01)
## Platform: x86_64-apple-darwin17.0 (64-bit)
## Running under: macOS Big Sur 10.16
##
## Matrix products: default
## BLAS: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.0.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] plotly_4.10.0 forcats_0.5.1 stringr_1.4.0 dplyr_1.0.8
## [5] purrr_0.3.4 readr_2.1.2 tidyr_1.2.0 tibble_3.1.6
## [9] ggplot2_3.3.5 tidyverse_1.3.1
##
## loaded via a namespace (and not attached):
## [1] Rcpp_1.0.8 lubridate_1.8.0 assertthat_0.2.1 digest_0.6.29
## [5] utf8_1.2.2 R6_2.5.1 cellranger_1.1.0 backports_1.4.1
## [9] reprex_2.0.1 evaluate_0.14 highr_0.9 httr_1.4.2
## [13] pillar_1.7.0 rlang_1.0.1 lazyeval_0.2.2 readxl_1.3.1
## [17] rstudioapi_0.13 data.table_1.14.2 jquerylib_0.1.4 rmarkdown_2.11
## [21] labeling_0.4.2 htmlwidgets_1.5.4 bit_4.0.4 munsell_0.5.0
## [25] broom_0.7.12 compiler_4.1.2 modelr_0.1.8 xfun_0.29
## [29] pkgconfig_2.0.3 htmltools_0.5.2 tidyselect_1.1.1 fansi_1.0.2
## [33] viridisLite_0.4.0 crayon_1.4.2 tzdb_0.2.0 dbplyr_2.1.1
## [37] withr_2.4.3 grid_4.1.2 jsonlite_1.7.3 gtable_0.3.0
## [41] lifecycle_1.0.1 DBI_1.1.2 magrittr_2.0.2 scales_1.1.1
## [45] cli_3.1.1 stringi_1.7.6 vroom_1.5.7 farver_2.1.0
## [49] fs_1.5.2 xml2_1.3.3 bslib_0.3.1 ellipsis_0.3.2
## [53] generics_0.1.2 vctrs_0.3.8 tools_4.1.2 bit64_4.0.5
## [57] glue_1.6.1 crosstalk_1.2.0 hms_1.1.1 parallel_4.1.2
## [61] fastmap_1.1.0 yaml_2.2.2 colorspace_2.0-2 rvest_1.0.2
## [65] knitr_1.37 haven_2.4.3 sass_0.4.0