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.

Quick Start

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This page contains some random examples that shows some aspect of the ANGSD program. There is also an old Tutorial, but this is somewhat outdated. We assume you will have SAMtools installed.

Many of the examples in the individual subpages are based on this test data set. The examples below are just some random examples.

Download and prepare

First download some completely random small BAM files which contains some random region for some different chromosomes for 10 samples from the 1000genomes project. The file size is around 100megabytes.

wget http://popgen.dk/software/download/angsd/bams.tar.gz
tar xf bams.tar.gz

This has made a folder called bams/, which contains our 10 samples. Now download and install angsd you can follow the guidelines at the Installation page which basicly says:

wget http://popgen.dk/software/download/angsd/angsd0.570.tar.gz
tar xfz angsd0.570.tar.gz
cd angsd0.570
make
cd ..

We will also index the BAM files in case we need to do random access, for this we will use SAMtools.

for i in bams/*.bam;do samtools index $i;done

We make a file containing a list of the locations of the 10 bamfiles

ls bams/*.bam >list

Examples

Calculate Allele frequencies

Assuming you have a list of bamfiles in in file: 'list' and you want the MAF using all reads and inferring the major and minor from the GL, we will use SAMtools genotype likelihoods, and will allow for 5 threads: See details on Allele Frequenciesj, Major Minor and Genotype Likelihoods.

./angsd0.570/angsd -b list -GL 1 -doMajorMinor 1 -doMaf 2 -P 5

	-> angsd version: 0.570	 build(Dec 17 2013 22:33:58)
	-> No '-out' argument given, output files will be called 'angsdput'
	-> Parsing 10 number of samples 
	-> Printing at chr: 20 pos:14031904 chunknumber 900
	-> Done reading data waiting for calculations to finish
	-> Calling destroy
	-> Done waiting for threads
	-> Output filenames:
		->"angsdput.arg"
		->"angsdput.mafs.gz"
	-> Thu Dec 19 17:12:42 2013
	-> Arguments and parameters for all analysis are located in .arg file
	[ALL done] cpu-time used =  83.03 sec