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Overview:
SAMtools is a suite of commands for dealing with databases of mapped reads. You'll be using it quite a bit throughout the course. It includes programs for performing variant calling (mpileup-bcftools).
Learning Objectives
- Familiarize yourself with SAMtools.
- Gain important insight into version control.
- Use SAMtools to identify variants in the E. coli genomes we mapped in the previous tutorial.
Calling variants in reads mapped by bowtie2
Right now, we'll be using it to call variants (find mutations) in the re-sequenced E. coli genome from the Mapping tutorial. You will need the output SAM files from that tutorial to continue here. If you wish to start this tutorial without completing the Mapping Tutorial, see the bottom section of this page for information about downloading canned data.
We assume that you are still working in the main directory called BDIBGVA_bowtie2_mapping that you created on $SCRATCH
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Loading SAMtools – a lesson in version control
One of the most important aspects of science is that it is supposed to be reproducible, and as mentioned in an earlier tutorial, a computer will always do exactly what it is told... the trick is telling it to do what you actually want it to do. As bench scientists, we all know (or will soon learn) that protocols change slightly over time... maybe you have had the nightmare troubleshooting experience of a reliable protocol suddenly giving unreliable results only to find out that an enzyme/reagent/kit you bought from a different vendor because it was cheeper is actually not identical in every way, or maybe you find a kit or reagent that claims better yield yet forces small differences in your protocol. Computational biology is no different in that protocols and programs change slightly over time (usually in the form of version updates). In the "best" case, version improvements add new functionality that do not change old analysis, in the worst of cases in an effort to fix small bugs (thereby increase accuracy by eliminating false positives in the eyes of the developers at least) in a way that makes you unaware that anything has changed other than your final output if you have to repeat your analysis (say because you added new samples to your cohort). Sometimes, programs will change drastically enough that even your old commands stop working. This is both a blessing and a curse. A blessing in that you are astutely aware that something has changed, and you are forced to either fix/update your analysis to the new version (typically gaining an understanding of what was changed), and a curse in that you have to figure out how to fix things even if this means continuing to use an older version.
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First let's check if SAMtools is loaded. The easiest way to do this is to simply type samtools. (Remember that most programs/commands are in all lowercase (while scripts often have capital letters) despite their webpages having capital letters associated with them to make them stand out). Looking through the output you should see a line that reads:
No Format |
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Version: 1.36 (using htslib 1.36) |
This is very important information for the most detailed reporting of your computational analysis, and reproducibility of said analysis. Sadly this level of reporting is often ignored or not appreciated by many journals leading to difficulty in reproducing results.
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You should notice that the only version of samtools that is available through the module system on tacc is version 1.36 and that the module is currently loaded because of what we put in the .bashrc folder in your $HOME directory yesterday. Try to unload the samtools module and see if you have any other versions of samtools available in other locations.
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So why is it when the module is loaded it finds the 1.3 6 version rather than the 0.1.18 version? The answer is thats what the $PATH variable is set to find. Consider the following information about the module system and the $PATH variable:
- When you type a command, only locations that are in your PATH variable are searched for an executable command matching that name.
- When the command is found in your PATH, the computer immediately substitutes the location it was found for the short command name you entered, and stops searching.
- This means that things that are early in your path are always searched first. In some extreme cricumstances circumstances if you add a bunch of locations with lots of files to the front of your PATH, you can actually slow down your entire computer, so try to limit the path variable to only look in directories containing executables.
- The module system always assumes that when you load a module, you intend to use it, and thus puts the executables for that module at the front of your PATH.
- In your .bashrc file, modules are loaded first (including samtools).
- After modules are loaded, we further manipulate your PATH variable several times. The last section involving breseq has 2 alternative manipulations:
The first which you can see we have commented out:
No Format # export PATH=$BI/breseq/bin:$PATH
- This command says make the variable PATH equal to the variable BI plus /breseq/bin and then add on the existing value of $PATH
The second we actually use.
No Format export PATH=$PATH:$BI/breseq/bin
- This command says make the variable PATH equal to the existing value of $PATH variable and then add on BI plus /breseq/bin
Warning title One of the most important lessons you can ever learn Anytime you manipulate your PATH variable you always want to make sure that you include $PATH on the right side of the equation somewhere separated by : either before it, after it, or on both sides of it if you want it in the middle of 2 different locations. As we are explaining right now, there are reasons and times to put it in different relative places, but if you fail to include it (or include a typo in it by calling it say $PTAH) you can actually remove access to all existing commands including the most basic things like "ls" "mkdir" "cd".
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Simply reload samtools using the module system, check the version, and which version is now being used.
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execute the following command and make sure you get the 2nd line as output:
If you see something different get our my attention or the tutorial will not work. |
Prepare your directories
Since the $SCRATCH directory on lonestar is effectively infinite for our purposes, we're going to copy the relevant files from our mapping tutorial into a new directory for this tutorial. This should help you identify what files came from what tutorial if you look back at it in the future. Let's copy over just the read alignment file in the SAM format and the reference genome in FASTA format to a new directory called BDIBGVA_samtools_tutorial.
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cds mkdir BDIBGVA_samtools_tutorial cd BDIBGVA_samtools_tutorial cp $SCRATCH/BDIBGVA_bowtie2_mapping/bowtie2/SRR030257.sam . cp $SCRATCH/BDIBGVA_bowtie2_mapping/NC_012967.1.fasta . |
Index the FASTA reference file
First, you need to index the reference file. (This isn't indexing it for read mapping. It's indexing it so that SAMtools can quickly jump to a certain base in the reference.)
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As you can see, the less command also works perfectly well with files that are not in danger of crashing anything without cluttering your terminal with lines of a file.
Convert mapped reads from SAM to BAM, sort, and index
SAM is a text file, so it is slow to access information about how any given read was mapped. SAMtools and many of the commands that we will run later work on BAM files (essentially GZIP compressed binary forms of the text SAM files). These can be loaded much more quickly. Typically, they also need to be sorted, so that when the program wants to look at all reads overlapping position 4,129,888, it can easily find them all at once without having to search through the entire BAM file.
The following 3 commands are used to convert from SAM to BAM format, sort the BAM file, and index the BAM file. As you might assume guess this is computationally intense and as such must be iDEV node or submitted as a job (more on this on ThursdayFriday). If you want to submit them to the job queue, you will want to separate them with a ";" to ensure that they run sequentially on the same node. Under no circumstances should you run this on the head node.
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Use showq -u to verify you are still on the idev node.
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Examine the output of the previous commands to get an idea of whats going on. Here are some prompts of how to do that:
Expand title What new files were created by these commands? Code Block language bash title List the contents of the output directory ls -1 # This is the number 1 not the letter L. Several people seem to wereget confused about this each yesterdayyear, it is not necessary for any reason other than to give a single column of output regardless of window size.
Code Block title Expected output NC_012967.1.fasta NC_012967.1.fasta.fai SRR030257.bam SRR030257.sam SRR030257.sorted.bam SRR030257.sorted.bam.bai
Expand title Can you guess what a *.bai file is? Sure enough, it's the index file for the BAM file.
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You might be tempted to gzip BAM files when copying them from one computer to another. Don't bother! They are already internally compressed, so you won't be able to shrink the file. On the other hand, compressing SAM files will save a fair bit of space. |
Call genome variants
Now we use the mpileup
command from samtools
to compile information about the bases mapped to each reference position. The output is a BCF file. This is a binary form of the text Variant Call Format (VCF).
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What are all the options doing? Try calling samtools mpileup without any options to see if you can figure it out before clicking below to
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The samtools mpileup
command will take a few minutes to run. As practice for a fairly common occurrence when working with the iDEV environment, once the command is running, you should try putting it in the background by pressing control-z
and then typing the command bg
so that you can do some other things in this terminal window at the same time. Remember, there are still many other processors available on this node!
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Take a look at the SRR030257.vcf
file using less
. It has a nice header explaining what the columns mean, including answers to some of your questions from yesterday's presentations. Below this are the rows of data describing potential genetic variants.
Filtering VCF files with grep
VCF format has alternative Allele Frequency tags denoted by AF= Try the following command to see what values we have in our files.
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Try looking at grep --help to see what you can come up with.
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Optional Exercises at the end of class or for Wednesday/Thursday choose your own tutorial time.
Calling variants in reads mapped by BWA or the improved read quality reads
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Follow the same directions to call variants in the BWA or Bowtie2 mapped reads with the improved quality. Just be sure you don't write over your old files. Maybe create new directories like BDIBGVA_samtools_bwa
and BDIBGVA_samtools_bowtie_improved
for the output in each case.
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If you do not have the output from the Mapping tutorial, run the first 4 commands to copy over the output that would have been produced. Then, you can immediately start this tutorial!
These precanned results will be used in the optional upcoming bedtools tutorial as well, or you can simply compare the output .vcf files for more simple answers |
Further Optional Exercises
- Which mapper finds more variants?
- Can you figure out how to filter the VCF files on various criteria, like coverage, quality, ... ?
- How many high quality mutations are there in these E. coli samples relative to the reference genome?
- Look at how the reads supporting these variants were aligned to the reference genome in the Integrative Genomics Viewer (IGV). This will be a separate tutorial for tomorrow.
Other version of samtools
As suggested in the initial introduction, the point of this optional tutorial is to work through getting a different version of samtools to work (the command line expectations, flags, and subcommands (ie bcftools call) were not what they are now in version 0.1.18). To make sure you are starting in the right place:
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Good luck, and remember if you undertake this and get frustrated with it, it is a great learning experience and is by far the most difficult thing you will attempt. As part of the learning experience, feel free to contact us me with any questions or problems you are specifically having with it, but cookbooked suggestions would defeat the intended purpose of beating your head against the problem to figure it out. You DO have the necessary skills to figure out how to do this now.
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Last year's The 2016 class did this tutorial in the opposite manner where the 0.1.18 version was given as the walkthrough rather than the 1.3 6 version. We I strongly suggest you use that tutorial only as a way to check your answers, and hence the lack of a link to that tutorial. |