FASTQ Manipulation Tools 2014
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
- The -l 90 option says that base 90 should be the last base (i.e., trim down to 50 bases)
- the -Q 33 option specifies how base qualities on the 4th line of each fastq entry are encoded. The FASTX toolkit is an older program, written in the time when Illumina base qualities were encoded differently. These days Illumina base qualities follow the Sanger FASTQ standard (Phred score + 33 to make an ASCII character).
Exercise: fastx toolkit programs
What other fastx manipulation programs are part of the fastx toolkit?
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
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 allows for mismatches.
- Cutadapt allows for paired end support.
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:
- The -m 22 option says to discard any sequence that is smaller than 22 bases after trimming. This avoids problems trying to map very short, highly ambiguous sequences.
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
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