Mercurial > repos > mingchen0919 > rmarkdown_fastqc_site
comparison 06_per_sequence_gc_content.Rmd @ 11:507eec497730 draft
update fastqc site
author | mingchen0919 |
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date | Tue, 07 Nov 2017 16:52:24 -0500 |
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1 --- | |
2 title: 'Per sequence GC content' | |
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$set( | |
13 echo = ECHO, | |
14 error = TRUE | |
15 ) | |
16 ``` | |
17 | |
18 ### Per sequence GC content | |
19 | |
20 ```{r 'Per sequence GC content', fig.width=10} | |
21 ## reads 1 | |
22 psGCc_1 = extract_data_module('REPORT_DIR/reads_1_fastqc_data.txt', 'Per sequence GC content') | |
23 psGCc_1$trim = 'before' | |
24 | |
25 ## reads 2 | |
26 psGCc_2 = extract_data_module('REPORT_DIR/reads_2_fastqc_data.txt', 'Per sequence GC content') | |
27 psGCc_2$trim = 'after' | |
28 | |
29 comb_psGCc = rbind(psGCc_1, psGCc_2) | |
30 comb_psGCc$trim = factor(levels = c('before', 'after'), comb_psGCc$trim) | |
31 | |
32 p = ggplot(data = comb_psGCc, aes(x = X.GC.Content, y = Count)) + | |
33 geom_line(color = 'red') + | |
34 facet_grid(. ~ trim) + | |
35 xlab('Mean Sequence Qaulity (Phred Score)') + | |
36 ylab('') | |
37 ggplotly(p) | |
38 ``` |