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In the following sections, we will guide you through: [[#Where to Find It |how to obtain qplot]], [[#Usage |how to use qplot]], [[#Built-in example |example outputs]], [[#anchorOfInteractiveQplot |interactive diagnostic plots]], and [[#Diagnose sequencing quality |real applications]] in which qplot has helped identify sequencing problems.
In the following sections, we will guide you through: [[#Where to Find It |how to obtain qplot]], [[#Usage |how to use qplot]], [[#Built-in example |example outputs]], [[#anchorOfInteractiveQplot |interactive diagnostic plots]], and [[#Diagnose sequencing quality |real applications]] in which qplot has helped identify sequencing problems.
= Citing QPLOT =
If you found QPLOT useful and wants to cite in your paper, please copy and paste the information below.
* Bingshan Li, Xiaowei Zhan, Mary-Kate Wing, Paul Anderson, Hyun Min Kang, and Goncalo R. Abecasis, “QPLOT: A Quality Assessment Tool for Next Generation Sequencing Data,” BioMed Research International, vol. 2013, Article ID 865181, 4 pages, 2013. doi:10.1155/2013/865181 http://www.hindawi.com/journals/bmri/2013/865181/
= Where to Find It =
= Where to Find It =
== Binary Download ==
== Binary Download ==
We have prepared a pre-compiled (under Ubuntu) qplot along with source code . You can download it from: [http://www.sph.umich.edu/csg/zhanxw/software/qplot/qplot.20120602.tar.gz qplot.20120602.tar.gz (File Size: 1.7G)]
We have prepared a pre-compiled (under Ubuntu) qplot along with source code . You can download it from: [http://csg.sph.umich.edu//zhanxw/software/qplot/qplot.20130627.tar.gz qplot.20130627.tar.gz (File Size: 1.7G)]
The executable file is under qplot/bin/qplot.
The executable file is under qplot/bin/qplot.
== Source Code Distribution ==
== Source Code Distribution ==
We provide a source code only download in [http://www.sph.umich.edu/csg/zhanxw/software/qplot/qplot-source.20120602.tar.gz qplot-source.20120602.tar.gz]. Optionally, you can download example file and/or data file:
We provide a source code only download in [http://csg.sph.umich.edu//zhanxw/software/qplot/qplot-source.20130627.tar.gz qplot-source.20130627.tar.gz]. Optionally, you can download example file and/or data file:
[http://www.sph.umich.edu/csg/zhanxw/software/qplot/qplot-example.tar.gz example]: example input file, and expected outputs if you following the [[#Built-in example | direction]].
[http://csg.sph.umich.edu//zhanxw/software/qplot/qplot-example.tar.gz example]: example input file, and expected outputs if you following the [[#Built-in example | direction]].
[http://www.sph.umich.edu/csg/zhanxw/software/qplot/qplot-data.tar.gz resources data]: necessary input files for qplot, including NCBI human genome build v37, dbSNP 130, and pre-computed GC file with windows size 100.
[http://csg.sph.umich.edu//zhanxw/software/qplot/qplot-data.tar.gz resources data]: necessary input files for qplot, including NCBI human genome build v37, dbSNP 130, and pre-computed GC file with windows size 100.
You can put above file(s) in the same folder and follow these steps:
You can put above file(s) in the same folder and follow these steps:
* 1. Unarchive downloaded file
* 1. Unarchive downloaded file
tar zvxf qplot-source.20120602.tar.gz
tar zvxf qplot-source.20130627.tar.gz
A new folder ''qplot'' will be created.
A new folder ''qplot'' will be created.
* 2. Build libStatGen
* 2. Build libStatGen
cd qplot
cd qplot
make libStatGen
(cd ../libStatGen; make cloneLib)
This step will download a necessary software library [http://genome.sph.umich.edu/wiki/C%2B%2B_Library:_libStatGen libStatGen] and compile source code into a binary code library.
This step will download a necessary software library [http://genome.sph.umich.edu/wiki/C%2B%2B_Library:_libStatGen libStatGen] and compile source code into a binary code library.
* 3. Build qplot
* 3. Build qplot
make all
make
This step will then build qplot. Upon success, the executable qplot can be found under qplot/bin/.
This step will then build qplot. Upon success, the executable qplot can be found under qplot/bin/.
some_linux_host > qplot/bin/qplot
some_linux_host > qplot/bin/qplot
The following parameters are available. Ones with "[]" are in effect:
References : --reference [/net/fantasia/home/zhanxw/software/qplot/data/human.g1k.v37.fa],
--dbsnp [/net/fantasia/home/zhanxw/software/qplot/data/dbSNP130.UCSC.coordinates.tbl]
GC content file options : --winsize [100]
Region list : --regions [], --invertRegion
Flag filters : --read1_skip, --read2_skip, --paired_skip,
--unpaired_skip
Dup and QCFail : --dup_keep, --qcfail_keep
Mapping filters : --minMapQuality [0.00]
Records to process : --first_n_record [-1]
Lanes to process : --lanes []
Read group to process : --readGroup []
Input file options : --noeof
Output files : --plot [], --stats [], --Rcode [], --xml []
Plot labels : --label [], --bamLabel []
Obsoleted (DO NOT USE) : --gccontent [], --create_gc
== Input files ==
== Input files ==
This file has two columns. First column is the chromosome name which must be consistent with the reference created above. Second column is 1-based SNP position. If you want to create your own dbSNP data from downloaded UCSC dbSNP file, one way to do it is: <code>cat dbsnp_129_b36.rod|grep "single" | awk '$4-$3==1' |cut -f2,4 > dbSNP_129_b36.tbl</code>
This file has two columns. First column is the chromosome name which must be consistent with the reference created above. Second column is 1-based SNP position. If you want to create your own dbSNP data from downloaded UCSC dbSNP file, one way to do it is: <code>cat dbsnp_129_b36.rod|grep "single" | awk '$4-$3==1' |cut -f2,4 > dbSNP_129_b36.tbl</code>
* <code>--gccontent</code>
* <code> **OBSOLETED** --gccontent, --create_gc </code>
Although GC content can be calculated on the fly each time, it is much more efficient to load a precomputed GC content from a file.
GC content file name is automatically determined in this format: <reference_genome_base_file_name>.winsize<gc_content_window_size>.gc.
For example, if your reference genome is human.g1k.v37.fa and the window size is 100, then the GC content file name is: human.g1k.v37.winsize100.gc .
As it said, there is no need to use --gccontent to specify GC content file in each run.
* <code> input files </code>
QPLOT take SAM/BAM files.
''Note'': Before running qplot, it is critical to check how the chromosome names are coded. Some BAM/SAM files use just numbers, others use chr + numbers. '''You need to make sure that the chromosome names from the reference and dbSNP are consistent with the BAM/SAM files.'''
''Note'': Before running qplot, it is critical to check how the chromosome names are coded. Some BAM/SAM files use just numbers, others use chr + numbers. '''You need to make sure that the chromosome names from the reference and dbSNP are consistent with the BAM/SAM files.'''
or
or
--qcfail_keep
--qcfail_keep
*Records to process
*Records to process
'''NOTE''' In order for this to work, the lane info has to be encoded in the read name such that the lane number is the second field with the delimiter ":".
'''NOTE''' In order for this to work, the lane info has to be encoded in the read name such that the lane number is the second field with the delimiter ":".
* Read group to process :
* Read group to process :
The read group option can restrict qplot to process a subset of reads. For example, if the BAM contains the following @RG tags:
@RG ID:UM0348_1:1 PL:ILLUMINA LB:M5390 SM:M5390 CN:UM
@RG ID:UM0348_1:1 PL:ILLUMINA LB:M5390 SM:M5390 CN:UM
@RG ID:UM0360_4:1 PL:ILLUMINA LB:M5390 SM:M5390 CN:UM
@RG ID:UM0360_4:1 PL:ILLUMINA LB:M5390 SM:M5390 CN:UM
QPLOT will by default (without specifying --readgroup) process all reads.
If specify "--readGroup UM0348", then only read group UM0348_1, UM_0348_2, UM_0348_3, UM_0348_4 will be processed;
If specify "--readGroup UM0348_1", then only one read group UM0348_1 will be processed.
If you specify "--readGroup UM0348", then only read groups UM0348_1, UM_0348_2, UM_0348_3, UM_0348_4 will be processed.
If you specify "--readGroup UM0348_1", then only one read group, UM0348_1, will be processed.
* Input file options :
* Input file options :
BAM files are compress by BGZF algorithm and it should contain EOF by default. QPLOT will by default stop working when it does not found a valid EOF tag inside BAM files.
BAM files are compressed using BGZF and should contain the EOF indicator by default. QPLOT will, by default, stop working if it does not find a valid EOF indicator inside the BAM files.
However, you can force QPLOT to continue process using --noeof. But you should be award the input files may be corrupted.
However, you can force QPLOT to continue processing BAM files without an EOF indicator using --noeof. But you should be aware the input files may be corrupted.
Qplot will exclude reads with lower mapping qualities than the user specified parameter, <code>--minMapQuality</code>. By default, mapped reads with all mapping quality will be included in the analysis.
Qplot will exclude reads with lower mapping qualities than the user specified parameter, <code>--minMapQuality</code>. By default, mapped reads with all mapping quality will be included in the analysis.
*Region list
*Region list
