ANGSD: Analysis of next generation Sequencing Data
Latest tar.gz version is (0.938/0.939 on github), see Change_log for changes, and download it here.
Abbababa: Difference between revisions
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head -n5 smallBam.filelist > smallerBam.filelist | head -n5 smallBam.filelist > smallerBam.filelist | ||
./angsd -out out -doAbbababa 1 -bam smallerBam.filelist -doCounts 1 -anc /space/genomes/refgenomes/ancestral/hg19/fasta/hg19ancNoChr.fa | ./angsd -out out -doAbbababa 1 -bam smallerBam.filelist -doCounts 1 -anc /space/genomes/refgenomes/ancestral/hg19/fasta/hg19ancNoChr.fa | ||
Rscript file=out.abbababa indNames=smallerBam.filelist | Rscript R/jackKnife.R file=out.abbababa indNames=smallerBam.filelist outfile=out | ||
</pre> | </pre> | ||
This results in a out.txt file with all the results. |
Revision as of 17:15, 2 December 2013
Available from version 0.559+.
performs the abbababa test also called the D-statistic. This tests for ancient admixture (or wrong tree topology)
<classdiagram type="dir:LR">
[BAM files{bg:orange}]->[Sequence data|Random base]
[sequence data]->[*.abbababa|ABBA and BABA couts file{bg:blue}] </classdiagram>
<classdiagram type="dir:LR">
[*.abbababa|ABBA and BABA couts file{bg:blue}]->jackKnife.R[D stat and Z scores{bg:blue}]
</classdiagram>
Brief Overview
> ./angsd -doAbbababa -------------- analysisAbbababa.cpp: -doAbbababa 0 1: use a random base -rmTrans 0 remove transitions -blockSize 5000000 number of based in a block
This function will counts the number of ABBA and BABA sites
Options
- -doAbbababa 1
- sample a random base at each position.
- -rmTrans
Remove transitions (important for ancient DNA)
- -blockSize [INT]
Size of each block. Choose a number that is higher than the LD in the populations. For human 5Mb (5000000) is usually used.
- -anc [fileName.fa]
Include an outgroup in fasta format.
- -doCounts 1
use -doCounts 1 in order to count the bases at each sites after filters.
Output
- .abbbababa
Output: Each lines represents a block with a chromsome name (Column 1), a start position (Column 2), an end postion (Column 3). The new columns are the counts of ABBA and BABA sites. For each combination of 3 individuals (H1,H2,H3) two columns are printed. These number served as input to the R script called jackKnife.R
Example
Create a fasta file bases from a random samples of bases.
head -n5 smallBam.filelist > smallerBam.filelist ./angsd -out out -doAbbababa 1 -bam smallerBam.filelist -doCounts 1 -anc /space/genomes/refgenomes/ancestral/hg19/fasta/hg19ancNoChr.fa Rscript R/jackKnife.R file=out.abbababa indNames=smallerBam.filelist outfile=out
This results in a out.txt file with all the results.