# HG changeset patch # User nilesh # Date 1373559938 14400 # Node ID 7cac660d1c0aeaf4450ab6e4dbd0d8ce75ce033e # Parent 80f857718ca02ff1c1f01f10df54e36465885072 Uploaded diff -r 80f857718ca0 -r 7cac660d1c0a read_GC.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/read_GC.xml Thu Jul 11 12:25:38 2013 -0400 @@ -0,0 +1,46 @@ + + determines GC% and read count + + R + rseqc + + read_GC.py -i $input -o output + + + + + + + + + + + + .. 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. + +Output +++++++++++++++ + +1. output.GC.xls: Two column, plain text file, first column is GC%, second column is read count +2. output.GC_plot.r: R script to generate pdf file. +3. output.GC_plot.pdf: graphical output generated from R script. + +.. image:: http://dldcc-web.brc.bcm.edu/lilab/liguow/RSeQC/figure/read_gc.png + + +