Mercurial > repos > jjohnson > cistrome_beta

annotate beta_basic.xml @ 4:52ed4957ace9 draft

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planemo upload for repository https://github.com/jj-umn/galaxytools/tree/master/cistrome_beta commit c7ec1c7f1eb5f67fcd76e365b3cd0b35ef3509e6-dirty
author jjohnson
date Thu, 22 Mar 2018 10:48:43 -0400
parents 067573bac905
children
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1 <tool id="beta_basic" name="BETA-basic: Binding and Expression Target Analysis" version="@VERSION@.0">
2
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2 <description>Predict the factors (TFs or CRs) direct target genes by combining the binding and expression data</description>
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3 <macros>
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4 <import>beta_macros.xml</import>
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5 </macros>
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6 <expand macro="requirements" />
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7 <expand macro="stdio" />
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8 <command><![CDATA[
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9 BETA basic
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10 #include source=$common_opts#
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11 #include source=$genome_opts#
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12 #include source=$extended_opts#
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13 #include source=$write_log#
2
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14 ]]></command>
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15 <inputs>
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16 <expand macro="common_params" />
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17 <expand macro="genome_params" />
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18 <expand macro="extended_params" />
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19 </inputs>
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20 <outputs>
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21 <data format="txt" name="log" label="Log of BETA basic"/>
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22 <data format="pdf" name="functionoutput" label="BETA functional prediction on ${peakfile.name}" from_work_dir="BETA_OUTPUT/NA_function_prediction.pdf"/>
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23 <data format="tabular" name="uptargetsoutput" label="BETA direct targets prediction on up regulated genes" from_work_dir="BETA_OUTPUT/NA_uptarget.txt"/>
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24 <data format="tabular" name="downtargetsoutput" label="BETA direct targets prediction on down regulated genes" from_work_dir="BETA_OUTPUT/NA_downtarget.txt"/>
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25 <data format="bed" name="uptargetpeaks" label="BETA Uptarget associated peaks" from_work_dir="BETA_OUTPUT/NA_uptarget_associate_peaks.bed"/>
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26 <data format="bed" name="downtargetpeaks" label="BETA Downtarget associated peaks" from_work_dir="BETA_OUTPUT/NA_downtarget_associate_peaks.bed"/>
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27 </outputs>
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28 <tests>
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29 <test>
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30 <param name='peakfile' value="peaks.bed" ftype="bed" dbkey="hg19"/>
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31 <param name="distance" value="100000"/>
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32 <param name="peaknumber" value="10000"/>
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33 <param name="genomeName" value="hg19"/>
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34 <param name='exprefile' value="diff_expr.xls" ftype="tabular" dbkey="hg19"/>
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35 <param name="kind" value="LIM"/>
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36 <param name="expreinfo" value="2,5,7"/>
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37 <param name="gname2" value="Refseq"/>
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38 <param name="diff_fdr" value="1.0"/>
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39 <param name="diff_amount" value="0.5"/>
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40 <param name="method" value="score"/>
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41 <output name="log">
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42 <assert_contents>
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43 <has_text_matching expression="Finished" />
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44 </assert_contents>
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45 </output>
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46 <output name="uptargetsoutput">
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47 <assert_contents>
4
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48 <has_text_matching expression="chr19\t47990890\t48018515\tNR_038457\t4.*\t-\tNAPA" />
2
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49 </assert_contents>
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50 </output>
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51 <output name="uptargetpeaks">
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52 <assert_contents>
4
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53 <has_text_matching expression="chr19\t47950633\t47951639\tNR_038457\tNAPA\t-67379\t0.04\d+" />
2
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54 </assert_contents>
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55 </output>
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56 </test>
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57 </tests>
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58 <help><![CDATA[
0
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59 ** BETA basic **
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60
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61 @EXTERNAL_DOCUMENTATION@
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62
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63 @CITATION_SECTION@
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64
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65 This tool annotates the given intervals and scores with genome
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66 features such as gene body. It's the major module in CEAS package
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67 which is written by Hyunjin Gene Shin, published in Bioinformatics
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68 (pubmed id:19689956).
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69
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70 .. class:: warningmark
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71
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72 **NEED IMPROVEMENT**
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73
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74 -----
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75
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76 **Parameters**
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77
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78 - **PEAKFILE file** contains peaks for the experiment in a bed
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79 format file. Normally, it's produced by the peak calling tool. It's
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80 required.
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81 - **EXPREFILE file** contains the differentially expressed genes in a tab
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82 delimited text file. It's required.
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83 - **Kind** The kind of your expression file format, LIM for LIMMA standard
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84 output with Microarray, CUF for Cuffdiffs standard output with RNA-seq,
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85 BSF for BETA specific format, and O for other formats.
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86 - **genome** hg19 for human and mm9 for mouse. Others, don't set this parameter.
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87 - **gname2** If this switch is on, gene or transcript IDs in files given
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88 through -e will be considered as official gene symbols, DEFAULT=FALSE
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89 - **EXPREINFO** is the columns info of the geneID, up/down status and statistcal
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90 values column of your expression data,NOTE: use a comma as an connector.
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91 for example: 2,5,7 means geneID in the 2nd column, Tscore in 5th column
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92 and FDR in 7 column.
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93 - **REFERENCE** is the refgene info file downloaded from UCSC genome browser.
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94 It is a tab delimited text file with gene annotation with refseq and gene symbol.
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95 Input this file only if your genome is neither hg19 nor mm9.
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96 profiling
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97 - **OUTPUT** to specify the output files directory
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98 - **bl** Whether or not to use CTCF boundary file to get the contributed peaks
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99 - **BOUNDARYFILE** is the file with reasonable boundaries if --bl is on and genome
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100 is neither hg19 nor mm9.
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101 - **NAME** specify the name of the output files.
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102 - **DISTANCE** specify the distance wich peaks within it will be considered.
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103 - **DIFF_FDR** specify the differential genes by the 3rd column in file input
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104 via -e, genes with less than this value will be considered as the differentially
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105 changed genes.
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106 - **DIFF_AMOUNT** specify the differential genes the top #(DIFF_AMOUNT) ranked by
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107 the 3rd column in file input via -e, genes ranked in the top # will be considered
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108 as the differentially expressed genes.
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109 - **CUTOFF** specify a cutoff of ks-test in the function prediction part
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110
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111 -----
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112
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113 **Script parameter list of BETA basic**
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114
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115 ::
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116
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117 -h, --help show this help message and exit
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118 -p PEAKFILE, --peakfile PEAKFILE The bed format of peaks binding sites. (BETA support 3
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119 or 5 columns bed format, CHROM, START, END (NAME,
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120 SCORE))
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121 -e EXPREFILE, --diff_expr EXPREFILE The differential expression file get from limma for
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122 MicroArray ddata and cuffdiff for RNAseq data
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123 -k {LIM,CUF,BSF,O}, --kind {LIM,CUF,BSF,O} The kind of your expression file,this is required,it
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124 can be LIM, CUF, BSF, O. LIM for LIMMA standard
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125 format. CUF for CUFDIFF standard format, BSF for BETA
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126 specific format and O for other formats, if is 'O',
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127 columns infor required via --info
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128 -g {hg19,mm9}, --genome {hg19,mm9} Specify your species, hg19, mm9. For other genome
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129 assembily versions of human and mouse or other
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130 species, ignore this parameter.
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131 --gname2 If this switch is on, gene or transcript IDs in files
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132 given through -e will be considered as official gene
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133 symbols, DEFAULT=FALSE
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134 --info EXPREINFO Specify the geneID, up/down status and statistcal
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135 values column of your expression data,NOTE: use a
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136 comma as an connector. for example: 2,5,7 means geneID
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137 in the 2nd column, Tscore in 5th column and FDR in 7
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138 column DEFAULT:2,5,7 for LIMMA; 2,10,13 for Cuffdiff
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139 and 1,2,3 for BETA specific format
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140 -r REFERENCE, --reference REFERENCE The refgene info file downloaded from UCSC genome
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141 browser.input this file only if your genome is neither
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142 hg19 nor mm9
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143 -o OUTPUT, --output OUTPUT The directory to store all the output files, if you
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144 don't set this, files will be output into the current
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145 directory
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146 --bl Whether or not use CTCF boundary to filter peaks
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147 around a gene, DEFAULT=FALSE
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148 --bf BOUNDARYFILE CTCF conserved peaks bed file, use this only when you
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149 set --bl and the genome is neither hg19 nor mm9
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150 --pn PEAKNUMBER The number of peaks you want to consider,
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151 DEFAULT=10000
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152 --method {score,distance} Define the method to do the TF/CR function prediction,
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153 score for regulatory potential, distance for the
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154 distance to the proximal binding peak. DEFAULT:SCORE
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155 -n NAME, --name NAME This argument is used to name the result file.If not
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156 set, the peakfile name will be used instead
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157 -d DISTANCE, --distance DISTANCE Set a number which unit is 'base'. It will get peaks
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158 within this distance from gene TSS. default:100000
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159 (100kb)
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160 --df DIFF_FDR Input a number 0~1 as a threshold to pick out the most
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161 significant differential expressed genes by FDR,
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162 DEFAULT = 1, that is select all the genes
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163 --da DIFF_AMOUNT Get the most significant differential expressed genes
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164 by the percentage(0-1) or number(larger than 1)Input a
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165 number between 0-1, the rank based on fdr for example,
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166 2000, so that the script will only consider top 2000
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167 genes as the differentially expressed genes. DEFAULT =
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168 0.5, that is select top 50 percent genes of up and
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169 down seprately. NOTE: if you want to use diff_fdr,
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170 please set this parameter to 1, otherwise it will get
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171 the intersection of these two parameters
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172 -c CUTOFF, --cutoff CUTOFF Input a number between 0~1 as a threshold to select
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173 the closer target gene list(up regulate or down
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174 regulate or both) with the p value was called by one
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175 side ks-test, DEFAULT = 0.001
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176
2
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177 ]]></help>
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178 <expand macro="citations" />
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179 </tool>