# HG changeset patch # User nilesh # Date 1373559875 14400 # Node ID adc934fb9a7661132331e7b44bc314e7695f964c # Parent 8dbd613bd83535db2aad2d88ddce89ec557f5c63 Uploaded diff -r 8dbd613bd835 -r adc934fb9a76 inner_distance.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/inner_distance.xml Thu Jul 11 12:24:35 2013 -0400 @@ -0,0 +1,95 @@ + + calculate the inner distance (or insert size) between two paired RNA reads + + R + rseqc + + inner_distance.py -i $input -o output -r $refgene + + #if $bounds.hasLowerBound + -l $bounds.lowerBound + #end if + + #if $bounds2.hasUpperBound + -u $bounds2.upperBound + #end if + + #if $steps.step + -s $steps.stepSize + #end if + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +.. image:: https://code.google.com/p/rseqc/logo?cct=1336721062 + +----- + +About RSeQC ++++++++++++ + +The RSeQC package provides a number of useful modules that can comprehensively evaluate high throughput sequence data especially RNA-seq data. “Basic modules” quickly inspect sequence quality, nucleotide composition bias, PCR bias and GC bias, while “RNA-seq specific modules” investigate sequencing saturation status of both splicing junction detection and expression estimation, mapped reads clipping profile, mapped reads distribution, coverage uniformity over gene body, reproducibility, strand specificity and splice junction annotation. + +The RSeQC package is licensed under the GNU GPL v3 license. + +Inputs +++++++++++++++ + +Input BAM/SAM file + Alignment file in BAM/SAM format. + +Reference gene model + Gene model in BED format. + +Estimated Upper/Lower Bounds (defaults=250 and -250) + Estimated upper/lower bounds of inner distance (bp). + +Step size (default=5) + Step size of histogram + + +Output +++++++++++++++ + +1. output.inner_distance.txt: +- first column is read ID +-second column is inner distance. Could be negative value if PE reads were overlapped or mapping error (e.g. Read1_start < Read2_start, while Read1_end >> Read2_end due to spliced mapping of read1) +- third column indicates how paired reads were mapped: PE_within_same_exon, PE_within_diff_exon,PE_reads_overlap +2. output..inner_distance_freq.txt: +- inner distance starts +- inner distance ends +- number of read pairs +- note the first 2 columns are left side half open interval +3. output.inner_distance_plot.r: R script to generate histogram +4. output.inner_distance_plot.pdf: histogram plot + +.. image:: http://dldcc-web.brc.bcm.edu/lilab/liguow/RSeQC/figure/inner_distance.png + + +