Last updated: 2022-11-01

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Knit directory: locust-phase-transition-RNAseq/

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This document was written in R Markdown, and translated into html using the R package knitr. Press the buttons labelled Code to show or hide the R code used to produce each table, plot or statistical result. You can also select Show all code at the top of the page.

Load R libraries (install first from CRAN or Bioconductor)

library("knitr")
library("rmdformats")
library("tidyverse")
library("DT")  # for making interactive search table
library("plotly") # for interactive plots
library("ggthemes") # for theme_calc
library("reshape2")

## Global options
options(max.print="10000")
knitr::opts_chunk$set(
    echo = TRUE,
    message = FALSE,
    warning = FALSE,
    cache = FALSE,
    comment = FALSE,
    prompt = FALSE,
    tidy = TRUE
)
opts_knit$set(width=75)

Short Reads mapping and Gene Quantification

STAR mapping to own species

# Load our SRA metadata table
metaseq <- read_table("data/metadata/RNAseq_modified_METADATA2022.txt", col_names = TRUE,
    guess_max = 5000)

## Create an interactive search table
metaseq %>%
    datatable(extensions = "Buttons", options = list(dom = "Blfrtip", buttons = c("copy",
        "csv", "excel"), lengthMenu = list(c(10, 20, 50, 100, 200, -1), c(10, 20,
        50, 100, 200, "All"))))
mycol_species <- c("green", "deeppink", "orange", "orange2", "blue2", "red2", "yellow2")

## READS AVERAGE colored by STATUS
eren <- ggplot(metaseq, aes(x = Map_SUM, y = Inputtrim_reads, color = Species, label = SampleID))
eren <- eren + geom_point(size = 2, alpha = 0.7)
eren <- eren + scale_color_manual(values = mycol_species)
eren <- eren + theme_calc()
eren <- eren + geom_hline(yintercept = 3e+07, linetype = "dotted", color = "green3")
eren <- eren + geom_hline(yintercept = 5e+07, linetype = "dotted", color = "green3")
eren <- eren + geom_vline(xintercept = 80, linetype = "dotted", color = "blue2")
eren <- eren + xlim(0, 100)
options(scipen = 20)  #to remove the scientific annotation of the axis

## make an interactive version of the scatter plot
attacktitan <- ggplotly(eren)
attacktitan

Figure XX: Interactive plot of the mapping rate success of each sample against their respective reference genome.

We added the green thresholds to indicate how many reads are recommended by Illumina (lower end and optimal). The blue line demonstrates where the mapping ratio could be considered not contaminated.

STAR mapping to alternate species

To gregaria

## READS AVERAGE colored by STATUS
mikasa <- ggplot(metaseq, aes(x = Map_SUM, y = Inputtrim_reads, color = Species,
    label = SampleID))
mikasa <- mikasa + geom_point(size = 2, alpha = 0.7)
mikasa <- mikasa + scale_color_manual(values = mycol_species)
mikasa <- mikasa + theme_calc()
mikasa <- mikasa + geom_hline(yintercept = 30000000, linetype = "dotted", color = "green3")
mikasa <- mikasa + geom_hline(yintercept = 50000000, linetype = "dotted", color = "green3")
mikasa <- mikasa + geom_vline(xintercept = 80, linetype = "dotted", color = "blue2")
mikasa <- mikasa + xlim(0, 100)
options(scipen = 20)  #to remove the scientific annotation of the axis

## make an interactive version of the scatter plot
attacktitan <- ggplotly(eren)
attacktitan

Figure XX: Interactive plot of the mapping rate success of each sample against gregaria genome.

We added the green thresholds to indicate how many reads are recommended by Illumina (lower end and optimal). The blue line demonstrates where the mapping ratio could be considered not contaminated.

To piceifrons

To cancellata

To americana

To cubense

To nitens


sessionInfo()
FALSE R version 4.2.1 (2022-06-23)
FALSE Platform: x86_64-apple-darwin17.0 (64-bit)
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