Difference between revisions of "SeqShop: Ancestry On Your Own Genome, December 2014"

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 +
__TOC__
 +
 +
== Setup ==
 +
<div class="mw-collapsible" style="width:600px">
 +
''If you are already logged in, you can skip this section.''
 +
<div class="mw-collapsible-content">
 
{{SeqShopLogin}}
 
{{SeqShopLogin}}
 +
</div>
 +
</div>
 +
 +
== Setup your terminal ==
  
== Setup ==
+
Resume screen:
''If you were sequenced, set these values:''
+
screen -r
  export SAMPLE=Sample*
+
 
 +
 
 +
<div class="mw-collapsible mw-collapsed" style="width:700px">
 +
'''Only if your snpcalling is still running, let Mary Kate know, expand, and follow these instructions'''
 +
<div class="mw-collapsible-content">
 +
* Detach from screen
 +
Ctrl-a d
 +
* Start new screen
 +
screen
 +
* Reset environment variables (replace SampleXX with your sample name)
 +
  export SAMPLE=SampleXX
 
  source /net/seqshop-server/home/mktrost/seqshop/setupSS.txt
 
  source /net/seqshop-server/home/mktrost/seqshop/setupSS.txt
source /net/seqshop-server/home/chaolong/LASER-Tutorial/setup.txt
+
* When you detach from screen and reattach, you will have multiple screen sessions
 +
** The ancestry one will have today's date, the snpcall one will have an earlier date.
 +
*** Mary Kate can explain how to reattach to a specific session when we get there.
 +
</div>
 +
</div>
 +
 
 +
 
 +
'''Instructions for everyone: Setup LASER'''
  
''If you were not sequenced, set these values:''
+
Source the LASER setup:
export SAMPLE=NA12878
 
source /net/seqshop-server/home/mktrost/seqshop/setupSS.txt
 
 
  source /net/seqshop-server/home/chaolong/LASER-Tutorial/setup.txt
 
  source /net/seqshop-server/home/chaolong/LASER-Tutorial/setup.txt
 +
(SAMPLE & OUT were previously set in your screen session.)
  
 
After setting this, also do
 
After setting this, also do
Line 26: Line 52:
 
This step takes ~1 hour for a genome sequenced at 17X.
 
This step takes ~1 hour for a genome sequenced at 17X.
  
 +
While this is running, we will go look at other results, so exit screen:
 +
Ctrl-a d
 +
 +
While that's running, let's go run the Association Analysis Practical: [[SeqShop: Genetic Association Analysis Practical, December 2014]]
 +
 +
=== Checking if Pileup finished ===
 +
screen -r
 +
 +
'''Did everyone's finish?'''
 +
 +
 +
If not, let's go to Indel: [[SeqShop:_Calling_Your_Own_Genome,_December_2014#Reviewing_Indel_Results]]
 +
 +
 +
If yes, let's continue below:
 
=== Step 2: pileup --> seq ===
 
=== Step 2: pileup --> seq ===
  
Line 38: Line 79:
 
This step will take about 5-6 minutes.
 
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.laser.seq -K 20 -k 4 -M 0.8 -o $OUT/ancestry/$SAMPLE.HGDP &
+
  $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:
 
View the results:
Line 56: Line 97:
 
  evince Results_on_HGDP.pdf &
 
  evince Results_on_HGDP.pdf &
  
==Interested in looking just at European (or East Asian or Central South Asian) populations?==  
+
==Interested in looking just at European or East Asian or Central South Asian populations?==  
 
=== Population information ===
 
=== Population information ===
 
8 European populations in the HGDP dataset, including 156 individuals in total.
 
8 European populations in the HGDP dataset, including 156 individuals in total.
17 East Asian populations in the HGDP dataset, including 215 individuals after excluding 4 outliers (defined as more than 5 standard deviations from mean in any of top 10 PCs, 1 removal iteration).
+
 
 +
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).
 
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).
 +
 +
[[File:HGDP Popualtions.png|thumb|center|alt=HGDP populations |300px|HGDP populations]]
  
 
=== Step 1: bam --> pileup ===
 
=== Step 1: bam --> pileup ===
Line 72: Line 117:
 
This step will take a few seconds.
 
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 &
 
  $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 &
  
View the results:
+
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
 
  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 ==
 
== Visualizing Ancestry ==
Copy the R code to plot your ancestry
 
cp -r $LASER/plot/ $OUT/ancestry/.
 
  
 
Change to that new directory:
 
Change to that new directory:
Line 88: Line 143:
  
  
Generate the plot:
+
Generate the plot for European ancestry:
  Rscript plotHGDP.r $HGDP/HGDP.633K.euro.RefPC.coord $OUT/ancestry/${SAMPLE}.Euro.laser.1.SeqPC.coord  
+
  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:
 
Take a look:
 
  evince Results_on_HGDP.pdf &
 
  evince Results_on_HGDP.pdf &
 +
 +
== Return to Calling your own Genome ==
 +
Go to [[SeqShop:_Calling_Your_Own_Genome,_December_2014#Reviewing_Indel_Results]] and pick up where we left off.

Latest revision as of 12:43, 12 December 2014

Setup

If you are already logged in, you can skip 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
    • Xming.png

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

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

    • 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
        • SeqshopX11.png

    • 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


Only if your snpcalling is still running, let Mary Kate know, expand, and follow these instructions

  • Detach from screen
Ctrl-a d
  • Start new screen
screen
  • Reset environment variables (replace SampleXX with your sample name)
export SAMPLE=SampleXX
source /net/seqshop-server/home/mktrost/seqshop/setupSS.txt
  • When you detach from screen and reattach, you will have multiple screen sessions
    • The ancestry one will have today's date, the snpcall one will have an earlier date.
      • Mary Kate can explain how to reattach to a specific session when we get there.


Instructions for everyone: Setup LASER

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.

While this is running, we will go look at other results, so exit screen:

Ctrl-a d

While that's running, let's go run the Association Analysis Practical: SeqShop: Genetic Association Analysis Practical, December 2014

Checking if Pileup finished

screen -r

Did everyone's finish?


If not, let's go to Indel: SeqShop:_Calling_Your_Own_Genome,_December_2014#Reviewing_Indel_Results


If yes, let's continue below:

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
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

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#Reviewing_Indel_Results and pick up where we left off.