SeqShop: Ancestry On Your Own Genome, December 2014

Setup

If you are not already logged in, please expand this section.

Login to the seqshop-server Linux Machine

This section will appear redundantly in each session. If you are already logged in or know how to log in to the server, please skip this section

1. Login to the windows machine
• The username/password for the Windows machine should be written on the right-hand monitor
2. Start xming so you can open external windows on our Linux machine
• Start->Enter "Xming" in the search and select "Xming" from the program list
• Nothing will happen, but Xming was started.
View Screenshot



3. Open putty
• Start->Enter "putty" in the search and select "PuTTY" from the program list
View Screenshot



4. Configure PuTTY in the PuTTY Configuration window
• Host Name: seqshop-server.sph.umich.edu
View Screenshot



• Setup to allow you to open external windows:
• In the left pannel: Connection->SSH->X11
• Add a check mark in the box next to Enable X11 forwarding
View Screenshot



• Click Open
• If it prompts about a key, click OK
5. Enter your provided username & password as provided

You should now be logged into a terminal on the seqshop-server and be able to access the test files.

• If you need another terminal, repeat from step 3.

Login to the seqshop Machine

So you can each run multiple jobs at once, we will have you run on 4 different machines within our seqshop setup.

• You can only access these machines after logging onto seqshop-server

3 users logon to:

ssh -X seqshop1

3 users logon to:

ssh -X seqshop2

2 users logon to:

ssh -X seqshop3

2 users logon to:

ssh -X seqshop4

Setup your terminal

Resume screen:

screen -r

Source the LASER setup:

source /net/seqshop-server/home/chaolong/LASER-Tutorial/setup.txt

(SAMPLE & OUT were previously set in your screen session.)

After setting this, also do

mkdir -p $OUT/ancestry

Verify that this does not give an error:

ls $OUT/bams/${SAMPLE}.recal.bam

Run

Step 1: bam --> pileup

$GC/bin/samtools mpileup -q 30 -Q 20 -f $REF/human.g1k.v37.fa -l $HGDP/HGDP_938.bed $OUT/bams/${SAMPLE}.recal.bam > $OUT/ancestry/${SAMPLE}.HGDP.pileup

This step takes ~1 hour for a genome sequenced at 17X.

Step 2: pileup --> seq

python $LASER/pileup2seq/pileup2seq.py \
-m $HGDP/HGDP_938.site \
-o $OUT/ancestry/$SAMPLE.HGDP \
$OUT/ancestry/$SAMPLE.HGDP.pileup

This step takes just a few seconds.

Estimate ancestry

This step will take about 5-6 minutes.

$LASER/laser -g $HGDP/HGDP_938.geno -c $HGDP/HGDP_938.RefPC.coord -s $OUT/ancestry/$SAMPLE.HGDP.seq -K 20 -k 4 -M 0.8 -o $OUT/ancestry/$SAMPLE.HGDP &

View the results:

less -S $OUT/ancestry/${SAMPLE}.HGDP.SeqPC.coord

Visualizing Ancestry

Copy the R code to plot your ancestry

cp -r $LASER/plot/ $OUT/ancestry/.

Change to that new directory:

cd $OUT/ancestry/plot

Generate the plot:

Rscript plotHGDP.r $HGDP/HGDP_938.RefPC.coord $OUT/ancestry/${SAMPLE}.HGDP.SeqPC.coord 

Take a look:

evince Results_on_HGDP.pdf &

Interested in looking just at European or East Asian or Central South Asian populations?

Population information

8 European populations in the HGDP dataset, including 156 individuals in total.

18 East Asian populations in the HGDP dataset, including 224 individuals after excluding 5 outliers (defined as more than 5 standard deviations from mean in any of top 10 PCs, 1 removal iteration).

8 Central/South Asian populations in the HGDP dataset, including 195 individuals after excluding 5 outliers (defined as more than 5 standard deviations from mean in any of top 10 PCs, 1 removal iteration). Note that 7 out of these 8 population were collected in Pakistan and 1 was collected in China (Uygur).

HGDP populations

Step 1: bam --> pileup

You can skip this, you already did it.

Step 2: pileup --> seq

You can skip this step too, because you already did it.

Estimate ancestry

This step will take a few seconds.

For European ancestry:

$LASER/laser -g $HGDP/HGDP.633K.euro.geno -c $HGDP/HGDP.633K.euro.RefPC.coord -s $OUT/ancestry/$SAMPLE.HGDP.seq -K 20 -k 4 -M 0.8 -o $OUT/ancestry/$SAMPLE.HGDP-Euro &

For East Asian ancestry:

$LASER/laser -g $HGDP/HGDP.633K.easia.2.geno -c $HGDP/HGDP.633K.easia.2.RefPC.coord -s $OUT/ancestry/$SAMPLE.HGDP.seq -K 20 -k 4 -M 0.8 -o $OUT/ancestry/$SAMPLE.HGDP-EAsia &

For Central/South Asian ancestry:

$LASER/laser -g $HGDP/HGDP.633K.csasia.2.geno -c $HGDP/HGDP.633K.csasia.2.RefPC.coord -s $OUT/ancestry/$SAMPLE.HGDP.seq -K 20 -k 4 -M 0.8 -o $OUT/ancestry/$SAMPLE.HGDP-CSAsia &

View the results for European ancestry:

less -S $OUT/ancestry/${SAMPLE}.HGDP-Euro.SeqPC.coord

or for East Asian ancestry

less -S $OUT/ancestry/${SAMPLE}.HGDP-EAsia.SeqPC.coord

or for Central/South Asian ancestry

less -S $OUT/ancestry/${SAMPLE}.HGDP-CSAsia.SeqPC.coord

Visualizing Ancestry

Copy the R code to plot your ancestry

cp -r $LASER/plot/ $OUT/ancestry/.

Change to that new directory:

cd $OUT/ancestry/plot

Move your other plot so you don't over-write it

mv Results_on_HGDP.pdf Results_on_HGDP_All.pdf

Generate the plot for European ancestry:

Rscript plotHGDP.r $HGDP/HGDP.633K.euro.RefPC.coord $OUT/ancestry/${SAMPLE}.HGDP-Euro.SeqPC.coord 

or for East Asian ancestry

Rscript plotHGDP.r $HGDP/HGDP.633K.easia.2.RefPC.coord $OUT/ancestry/${SAMPLE}.HGDP-EAsia.SeqPC.coord 

or for Central/South Asian ancestry

Rscript plotHGDP.r $HGDP/HGDP.633K.csasia.2.RefPC.coord $OUT/ancestry/${SAMPLE}.HGDP-CSAsia.SeqPC.coord 

Take a look:

evince Results_on_HGDP.pdf &

Return to Calling your own Genome

Go to SeqShop: Calling Your Own Genome, December 2014 and pick up where we left off.