Introduktion till Bioconductor i R
Paula Andrea Martinez, PhD.
Data Scientist
library(Rqc)
Biostrings, IRanges, methods, S4vectorsRsamtools, GenomicAlignments, GenomicFiles, BiocParallelKnitr, dplyr, markdown, ggplot2, digest, shiny och Rcpplibrary(Rqc) files <- # ange den fullständiga sökvägen till filerna du vill analysera qaRqc <- rqcQA(files)# utforska qaRqc class(qaRqc) # "list" names(qaRqc) # namn på indatafilerna# för varje fil qaRqc[1] # resultatet har klassen RqcResultSet
library(Rqc) # ange sökvägen till filerna du vill analysera files <- "data/seq1.fq" "data/seq2.fq" "data/seq3.fq" "data/se4.fq" qaRqc <- rqcQA(files, workers = 4)# urval av sekvenser set.seed(1111) qaRqc_sample <- rqcQA(files, workers = 4, sample = TRUE, n = 500))# parade endefiler pfiles <- "data/seq_11.fq" "data/seq1_2.fq" "data/seq2_1.fq" "data/seq2_2.fq" qaRqc_paired <- rqcQA(pfiles, workers = 4, pair = c(1, 1, 2, 2)))
# skapa en rapport reportFile <- rqcReport(qaRqc, templateFile = "myReport.Rmd")browseURL(reportFile)# klassen för qaRqc är rqcResultSet methods(class = "RqcResultSet")
qaRqc <- rqcQA(files, workers = 4))
perFileInformation(qaRqc)
filename pair format group reads total.reads path
SRR7760274.fastq 1 FASTQ None 1e+06 2404795 ./data
SRR7760275.fastq 2 FASTQ None 1e+06 1508139 ./data
SRR7760276.fastq 3 FASTQ None 1e+06 1950463 ./data
SRR7760277.fastq 4 FASTQ None 1e+06 2629588 ./data
| rqc-plotfunktioner | rqc-plotfunktioner |
|---|---|
rqcCycleAverageQualityPcaPlot() |
rqcGroupCycleAverageQualityPlot() |
rqcCycleAverageQualityPlot() |
rqcReadQualityBoxPlot() |
rqcCycleBaseCallsLinePlot() |
rqcReadQualityPlot() |
rqcCycleBaseCallsPlot() |
rqcReadWidthPlot() |
rqcCycleGCPlot() |
rqcReadFrequencyPlot() |
rqcCycleQualityBoxPlot() |
rqcCycleQualityPlot() |


Introduktion till Bioconductor i R