Mercurial > repos > mingchen0919 > aurora_htseq
annotate rmarkdown_report.Rmd @ 3:6a3bbafa24b3 draft
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author | mingchen0919 |
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date | Fri, 14 Dec 2018 09:16:39 -0500 |
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1 --- |
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2 title: 'HTSeq-count Report' |
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3 output: |
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4 html_document: |
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5 highlight: pygments |
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6 --- |
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7 |
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8 ```{r setup, include=FALSE, warning=FALSE, message=FALSE} |
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9 knitr::opts_chunk$set(error = TRUE, echo = FALSE) |
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10 ``` |
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11 |
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12 ```{css, echo=FALSE} |
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13 pre code, pre, code { |
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14 white-space: pre !important; |
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15 overflow-x: scroll !important; |
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16 word-break: keep-all !important; |
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17 word-wrap: initial !important; |
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18 } |
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19 ``` |
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20 |
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21 ```{r, echo=FALSE} |
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22 # to make the css theme to work, <link></link> tags cannot be added directly |
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23 # as <script></script> tags as below. |
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24 # it has to be added using a code chunk with the htmltool functions!!! |
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25 css_link = tags$link() |
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26 css_link$attribs = list(rel="stylesheet", href="vakata-jstree-3.3.5/dist/themes/default/style.min.css") |
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27 css_link |
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28 ``` |
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29 |
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30 ```{r, eval=FALSE, echo=FALSE} |
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31 # this code chunk is purely for adding comments |
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32 # below is to add jQuery and jstree javascripts |
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33 ``` |
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34 |
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35 <script src="vakata-jstree-3.3.5/dist/jstree.min.js"></script> |
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36 |
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37 |
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38 ```{r, eval=FALSE, echo=FALSE} |
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39 # this code chunk is purely for adding comments |
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40 # javascript code below is to build the file tree interface |
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41 # see this for how to implement opening hyperlink: https://stackoverflow.com/questions/18611317/how-to-get-i-get-leaf-nodes-in-jstree-to-open-their-hyperlink-when-clicked-when |
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42 ``` |
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43 <script> |
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44 jQuery(function () { |
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45 // create an instance when the DOM is ready |
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46 jQuery('#jstree').jstree().bind("select_node.jstree", function (e, data) { |
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47 window.open( data.node.a_attr.href, data.node.a_attr.target ) |
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48 }); |
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49 }); |
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50 </script> |
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51 |
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52 |
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53 ```{r, eval=FALSE, echo=FALSE} |
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54 --- |
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55 # ADD YOUR DATA ANALYSIS CODE AND MARKUP TEXT BELOW TO EXTEND THIS R MARKDOWN FILE |
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56 --- |
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57 ``` |
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58 |
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59 ## Job script |
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60 |
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61 ```{bash, echo=FALSE} |
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62 sh ${TOOL_INSTALL_DIR}/build-and-run-job-scripts.sh > ${REPORT_FILES_PATH}/log.txt 2>&1 |
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63 ``` |
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64 |
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65 ```{r echo=FALSE, comment='', results='asis'} |
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66 cat('```bash\n') |
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67 cat(readLines(paste0(Sys.getenv('REPORT_FILES_PATH'), '/htseq-count.sh')), sep = '\n') |
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68 cat('\n```') |
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69 ``` |
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70 |
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71 ## Counts |
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72 |
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73 Write data into a CSV file. |
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74 |
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75 ```{r, echo=TRUE} |
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76 count_data = read.table(paste0(opt$X_d, '/counts.txt'), row.names = 1) |
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77 sample_names = trimws(strsplit(opt$X_B, ',')[[1]]) |
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78 colnames(count_data) = rep(sample_names, length = ncol(count_data)) |
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79 |
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80 |
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81 # modify column names |
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82 count_data = data.frame(feature_id = rownames(count_data), count_data) |
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83 write.csv(count_data, |
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84 file = paste0(Sys.getenv('REPORT_FILES_PATH'), '/count_data.csv'), |
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85 quote = FALSE, row.names = FALSE) |
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86 ``` |
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87 |
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88 Display the top 1000 rows with largest average counts. |
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89 |
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90 ```{r echo=TRUE} |
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91 # Sort count table by count average |
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92 rownames(count_data) = count_data$feature_id |
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93 count_data = count_data[, -1] |
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94 sorted_ct_table = count_data[order(rowMeans(count_data), decreasing = TRUE), ] |
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95 DT::datatable(head(sorted_ct_table, 1000)) |
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96 ``` |
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97 |
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98 |