Last updated: 2022-07-13

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Knit directory: 20180328_Atkins_RatFracture/

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knitr::opts_chunk$set(
    message = FALSE, warning = FALSE,
    fig.height = 8, fig.width = 10
)
library(tidyverse)
library(pander)
suffix <- "_L001_R1.fastq.gz"
samples <- read_csv(
    here::here("data/targets.csv")
) %>% 
  mutate(File = paste0(File, suffix))

Introduction

This is a simple analysis of Single-End, Total RNA-Seq data associated with bone fractures in the Zucker Diabetic Fatty (ZDF) rat model. Samples are as follows.

pander(
    samples,
    justify = "lll",
    caption = "Samples included for RNA-Seq analysis."
)
Samples included for RNA-Seq analysis.
Rat group File
179_F Diabetic 179_F_CB2YGANXX_ATCACG_L001_R1.fastq.gz
187_F Diabetic 187_F_CB2YGANXX_CGATGT_L001_R1.fastq.gz
188_F Diabetic 188_F_CB2YGANXX_TTAGGC_L001_R1.fastq.gz
190_F Control 190_F_CB2YGANXX_TGACCA_L001_R1.fastq.gz
192_F Control 192_F_CB2YGANXX_ACAGTG_L001_R1.fastq.gz
194_F Control 194_F_CB2YGANXX_GCCAAT_L001_R1.fastq.gz

The primary workflow is to trim the data, then align and count reads in a gene-specific manner. The genome build used was Rnor_6.0 with gene annotations derived from Ensembl Release 96.

Tool versions used were:


sessionInfo()
R version 4.2.1 (2022-06-23)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.4 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.9.0
LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.9.0

locale:
 [1] LC_CTYPE=en_AU.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_AU.UTF-8        LC_COLLATE=en_AU.UTF-8    
 [5] LC_MONETARY=en_AU.UTF-8    LC_MESSAGES=en_AU.UTF-8   
 [7] LC_PAPER=en_AU.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] pander_0.6.5    forcats_0.5.1   stringr_1.4.0   dplyr_1.0.9    
 [5] purrr_0.3.4     readr_2.1.2     tidyr_1.2.0     tibble_3.1.7   
 [9] ggplot2_3.3.6   tidyverse_1.3.1 workflowr_1.7.0

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.9       here_1.0.1       lubridate_1.8.0  getPass_0.2-2   
 [5] ps_1.7.1         assertthat_0.2.1 rprojroot_2.0.3  digest_0.6.29   
 [9] utf8_1.2.2       R6_2.5.1         cellranger_1.1.0 backports_1.4.1 
[13] reprex_2.0.1     evaluate_0.15    httr_1.4.3       pillar_1.7.0    
[17] rlang_1.0.4      readxl_1.4.0     rstudioapi_0.13  whisker_0.4     
[21] callr_3.7.0      jquerylib_0.1.4  rmarkdown_2.14   bit_4.0.4       
[25] munsell_0.5.0    broom_1.0.0      compiler_4.2.1   httpuv_1.6.5    
[29] modelr_0.1.8     xfun_0.31        pkgconfig_2.0.3  htmltools_0.5.2 
[33] tidyselect_1.1.2 fansi_1.0.3      withr_2.5.0      crayon_1.5.1    
[37] tzdb_0.3.0       dbplyr_2.2.1     later_1.3.0      grid_4.2.1      
[41] jsonlite_1.8.0   gtable_0.3.0     lifecycle_1.0.1  DBI_1.1.3       
[45] git2r_0.30.1     magrittr_2.0.3   scales_1.2.0     vroom_1.5.7     
[49] cli_3.3.0        stringi_1.7.8    fs_1.5.2         promises_1.2.0.1
[53] xml2_1.3.3       bslib_0.3.1      ellipsis_0.3.2   generics_0.1.3  
[57] vctrs_0.4.1      tools_4.2.1      bit64_4.0.5      glue_1.6.2      
[61] hms_1.1.1        parallel_4.2.1   processx_3.7.0   fastmap_1.1.0   
[65] yaml_2.3.5       colorspace_2.0-3 rvest_1.0.2      knitr_1.39      
[69] haven_2.5.0      sass_0.4.1