Trimming low quality bases

There are a number of open source tools that can trim off 3' bases and produce a FASTQ file of the trimmed reads to use as input to the alignment program.

FASTX Toolkit

The FASTX-Toolkit provides a set of command line tools for manipulating fasta and fastq files. The available modules are described on their website. They include a fast fastx_trimmer utility for trimming fastq sequences (and quality score strings) before alignment.

FASTX-Toolkit is available via the TACC module system.

module spider fastx
module load fastx_toolkit

Let's run fastx_trimmer to trim all input sequences down to 90 bases:

fastx_trimmer -i data/Sample1_R1.fastq -l 90 -Q 33 -o Sample1_R1.trimmed.fastq

 

Exercise: fastx toolkit programs

What other fastx manipulation programs are part of the fastx toolkit?

Type fastx_ then tab to see their names
See all the programs like this:

ls $TACC_FASTX_BIN

Exercise: What if you just want to get rid of reads that are too low in quality?

 

fastq_quality_filter -q <N> -p <N> -i <inputfile> -o <outputfile>
-q N: Minimum Base quality score
-p N: Minimum percent of bases that must have [-q] quality

Let's try it on our data- trim it to only include reads with atleast 80% of the read having a quality score of 30 or above.

fastq_quality_filter -q 20 -p 80 -i data/Sample1_R1.fastq -Q 33 -o Sample1_R1.filtered.fastq

Exercise: Compare the results of fastq_trimmer vs fastq_quality_filter


grep '^@HWI' Sample1_R1.trimmed.fastq |wc -l
grep '^@HWI' Sample1_R1.filtered.fastq |wc -l


Adaptor Trimming

Data from RNA-seq or other library prep methods that resulted in very short fragments can cause problems with moderately long (50-100bp) reads since the 3' end of sequence can be read through to the 3' adapter at a variable position. This 3' adapter contamination can cause the "reql" insert sequence not to align because the adapter sequence does not correspond to the bases at the 3' end of the reference genome sequence.

 

Unlike general fixed-length trimming (e.g. trimming 100 bp sequences to 40 or 50 bp), adapter trimming removes differing numbers of 3' bases depending on where the adapter sequence is found.

The GSAF website describes the flavaors of Illumina adapter and barcode sequence in more detail https://utexas.atlassian.net/wiki/display/GSAF/Illumina+-+all+flavors

FASTX Toolkit

One of the programs available as part of the fastx toolkit does a crude job of clipping adaptors out of sequences. 

fastx_clipper will clip a certain nucl. sequence (eq: adapter) from your reads.

fastx_clipper -a <adapter> -i <inputfile> -o <outputfile> -l <discardSeqsShorterThanN>

Cutadapt

The cutadapt program is an excellent tool for removing adapter contamination. The program is not available through TACC's module system but we've installed a copy in our $BI/bin directory. Cutadapt has some advantages over fastx_clipper:

cutadapt -a <adapter> -e <errorRate> -m <minLength> -o <outputFile> <InputFile>

When you run cutadapt you give it the adapter sequence to trim, and this is different for R1 and R2 reads.  

/corral-repl/utexas/BioITeam/bin/cutadapt-1.3/bin/cutadapt -m 22 -a GATCGGAAGAGCACACGTCTGAACTCCAGTCAC Sample1_R1.fastq
/corral-repl/utexas/BioITeam/bin/cutadapt-1.3/bin/cutadapt -m 22 -a TGATCGTCGGACTGTAGAACTCTGAACGTGTAGA Sample1_R1.fastq  

Notes:

Paired end commands are a little more complicated: It's a multi step process: first providing both R1 and R2 files to create tmp files which are input to the second cutadapt command.

/corral-repl/utexas/BioITeam/bin/cutadapt-1.3/bin/cutadapt -a GATCGGAAGAGCACACGTCTGAACTCCA -m 22 --paired-output tmp.2.fastq -o tmp.1.fastq  Sample1_R1.fastq Sample1_R2.fastq &
/corral-repl/utexas/BioITeam/bin/cutadapt-1.3/bin/cutadapt -a ATCGTCGGACTGTAGAACTCTGAACGTG -m 22 --paired-output trimmed.1.fastq -o trimmed.2.fastq tmp.2.fastq tmp.1.fastq &
rm tmp.1.fastq tmp.2.fastq

Please refer to https://utexas.atlassian.net/wiki/display/GSAF/Illumina+-+all+flavors for Illumina library adapter layout.

 

BACK TO COURSE OUTLINE