SeqShop: Aligning Your Own Genome, May 2015

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Viewing Genetic Info

Slides on risks of viewing genetic information

Goals of This Session

Learn how to go from your FASTQ files to generate Aligned BAMs.

  • Your samples have already been aligned, so we will review the steps that were done
    • Workshop computers don't have enough compute to align everyone's samples during the workshop
  • You will get to take home both the original FASTQs and the aligned BAMs on a USB drive
    • You will get it by the end of the week if not before - it takes a while to copy 74G-111G
    • Those that didn't get sequenced will get a drive with NA12878 public sample on it


Login instructions for seqshop-server

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.

First Things First

When you see Sample*/Sample#, replace it with your sample name/number

  • If you are using generic data, use NA12878

Locating your FASTQs

Your FASTQ files are under ~/Sample*/fastqs directory.

Look at your directory:

ls ~/Sample*/fastqs
  • ls does a directory listing
  • ~/ means to start from your home/base directory
    • Using ~/ means the command will work even if you have changed directories

You will see 2 or more files (if you have multiple pairs):

  • *Sample#_*_R1.fastq.gz - 1st in pair
  • *Sample#_*_R2.fastq.gz - 2nd in pair

What did I do to run the alignment?

Created FASTQ_LIST file

I created a FASTQ_LIST file with the sample #s and fastqs.

  • What columns do we need in our file that tells GotCloud about our FASTQ?
    • SAMPLE
    • FASTQ1
    • FASTQ2
SAMPLE   FASTQ1                                        FASTQ2
Sample#  /path/to/Sample#/fastqs/*Sample#_*_R1.fastq.gz    /path/to/Sample#/fastqs/*Sample#_*_R2.fastq.gz

You can see what your fastq.list looks like

  • I took out the full path since I ran alignment in a different path:
cat ~/Sample*/fastq.list

Created a GotCloud Configuration File

After creating the FASTQ_LIST file, I created the GotCloud configuration.

  • What changes from the default settings did I make?
    1. Use multiple BWA_THREADS
    2. Set FASTQ_LIST

Look at the gotcloud.conf I setup for you

  • Not "exactly" what I used. In the original gotcloud.conf, I had
    • cluster settings (now blank since you won't be using a cluster for further processing)
    • various number of BWA_THREADS for each sample
    • full paths to:
      • FASTQ_LIST
      • OUT_DIR
cat ~/Sample*/gotcloud.conf

You'll notice that this file is very similar to the one we have been using.

  • Just a few modifications to run a new test on the whole genome

The settings needed for Single Sample SNP calling that we need for tomorrow are already in the gotcloud.conf (requires extra settings as the default snpcall works best for multiple samples).

Ran the Alignment

It took many threads & a couple of days to get all of the alignments complete - which is why I ran them last week.

  • Used screen to run overnight.

I ran something like:

gotcloud align --conf gotcloud.conf --numjobs 4
  • I set numjobs to the number of samples I was processing on that machine

Alignment Pipeline Output

The output is in ~/Sample#/output

cd ~/Sample*/output
ls

What is there?

  • bam.list - list of samples/BAMs (just one)
  • bams - directory with BAM files
  • Makefiles - makefiles generated when I ran GotCloud
  • QCFiles - quality control metrics
    • We will look at this later

Look at the BAM list (will be used for snpcall that we will start tomorrow)

cat bam.list
  • sample(tab)bam

Look in the bams directory:

ls bams

Quality Control Output

We may hold off on reviewing this until Friday.

Check QC directory

ls QCFiles/

Check for Sample Contamination:

less -S QCFiles/Sample*.genoCheck.selfSM

Look for FREEMIX column. OR notice that it is column 7:

cut -f7 QCFiles/Sample*.genoCheck.selfSM

Look at QPLOT stats:

less QCFiles/Sample*.qplot.stats
  • What is your Mapping Rate%?
  • What is your MeanDepth?
  • What is your GenomeCover(%)?

Let's generate the plots:

  • R script will create PDF
    • automatically set PDF path to full path where the R script is
      • That wouldn't work since I didn't align in your directory & instead moved the files in there afterwards
      • I hand modified it to relative directory from your home directory, so you need to move to your home directory to create the PDF
cd
Rscript Sample*/output/QCFiles/Sample*.qplot.R
evince Sample*/output/QCFiles/Sample*.qplot.pdf&

Recalibration Comparison

We may hold off on reviewing this until Friday.

I also ran picard/GATK on NA12878 (in Nov/Dec 2014).

Tool Time
Picard MarkDuplicates 5hrs 41min
GATK BaseRecalibrator 18hrs 57min
GATK PrintReads 18hrs 33min
Picard/GATK Total 43hrs 11min
Our Dedup & Recalibration 15hrs 3min
Just Dedup 5hr 19min
Just Recalibration 13hrs 5 min

We run Dedup & Recalibration at the same time for 2 total passes through the BAM file.

  • Alternatively you can run them separately

Our samples ranged from 8-19 hrs (only 2 at 19-19)

QPLOT comparison:

  • qplot.stats differences:
Stats\BAM NA12878.recal.bam NA12878.markDup_GATK.bam
Q20Bases(e9) 54.29 54.20
Q20BasesPct(%) 94.20 94.05
EPS_MSE 3.80 1.37

Plots: QplotComp.pdf

FEEDBACK!

Please provide feedback on the lectures/tutorials from today: https://docs.google.com/forms/d/1I3xTSNw2hMitQJCS1jnanedUxP0tdi9JDzIqtXwxhro/viewform