Mercurial > repos > mingchen0919 > aurora_fastqc_site
comparison fastqc_report.Rmd @ 0:b7c115edd970 draft
planemo upload
author | mingchen0919 |
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date | Tue, 27 Feb 2018 10:37:12 -0500 |
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2 title: 'Short reads evaluation with [FastQC](https://www.bioinformatics.babraham.ac.uk/projects/fastqc/)' | |
3 output: | |
4 html_document: | |
5 number_sections: true | |
6 toc: true | |
7 theme: cosmo | |
8 highlight: tango | |
9 --- | |
10 | |
11 ```{r setup, include=FALSE, warning=FALSE, message=FALSE} | |
12 knitr::opts_chunk$set( | |
13 echo = as.logical(opt$X_e), | |
14 error = TRUE, | |
15 eval = TRUE | |
16 ) | |
17 ``` | |
18 | |
19 | |
20 | |
21 | |
22 | |
23 ## | |
24 | |
25 ## | |
26 | |
27 | |
28 ## | |
29 | |
30 | |
31 ## | |
32 | |
33 ## | |
34 | |
35 ## | |
36 | |
37 ### Kmer Content {.tabset} | |
38 | |
39 #### Before | |
40 | |
41 ```{r 'Kmer Content (before)', fig.width=10} | |
42 kc_1 = extract_data_module(paste0(opt$X_d, '/read_1_fastqc/fastqc_data.txt'), 'Kmer Content') | |
43 knitr::kable(kc_1) | |
44 ``` | |
45 | |
46 #### After | |
47 ```{r 'Kmer Content (after)', fig.width=10} | |
48 kc_2 = extract_data_module(paste0(opt$X_d, '/read_2_fastqc/fastqc_data.txt'), 'Kmer Content') | |
49 knitr::kable(kc_2) | |
50 ``` | |
51 | |
52 | |
53 # Session Info | |
54 | |
55 ```{r 'session info'} | |
56 sessionInfo() | |
57 ``` | |
58 | |
59 # References | |
60 | |
61 * Bioinformatics, Babraham (2014). FastQC. | |
62 | |
63 * Allaire, J and Cheng, Joe and Xie, Yihui and McPherson, Jonathan and Chang, Winston and Allen, Jeff and Wickham, Hadley and Atkins, Aron and Hyndman, Rob (2016). rmarkdown: Dynamic Documents for R, 2016. In R package version 0.9, 6. | |
64 | |
65 * Xie, Yihui (2015). Dynamic Documents with R and knitr, CRC Press, Vol.29. | |
66 | |
67 * Carson Sievert and Chris Parmer and Toby Hocking and Scott Chamberlain and Karthik Ram and Marianne Corvellec and Pedro Despouy (2017). plotly: Create Interactive Web Graphics via 'plotly.js'. R package version 4.6.0. [Link] | |
68 | |
69 * Wickham, H. (2016). ggplot2: elegant graphics for data analysis. Springer. Chicago |