| # sickle - A windowed adaptive trimming tool for FASTQ files using quality
## About Most modern sequencing technologies produce reads that have deteriorating quality towards the 3'-end and some towards the 5'-end as well. Incorrectly called bases in both regions negatively impact assembles, mapping, and downstream bioinformatics analyses. Sickle is a tool that uses sliding windows along with quality and length thresholds to determine when quality is sufficiently low to trim the 3'-end of reads and also determines when the quality is sufficiently high enough to trim the 5'-end of reads. It will also discard reads based upon the length threshold. It takes the quality values and slides a window across them whose length is 0.1 times the length of the read. If this length is less than 1, then the window is set to be equal to the length of the read. Otherwise, the window slides along the quality values until the average quality in the window rises above the threshold, at which point the algorithm determines where within the window the rise occurs and cuts the read and quality there for the 5'-end cut. Then when the average quality in the window drops below the threshold, the algorithm determines where in the window the drop occurs and cuts both the read and quality strings there for the 3'-end cut. However, if the length of the remaining sequence is less than the minimum length threshold, then the read is discarded entirely (or replaced with an "N" record). 5'-end trimming can be disabled. Sickle supports three types of quality values: Illumina, Solexa, and Sanger. Note that the Solexa quality setting is an approximation (the actual conversion is a non-linear transformation). The end approximation is close. Illumina quality refers to qualities encoded with the CASAVA pipeline between versions 1.3 and 1.7. Illumina quality using CASAVA >= 1.8 is Sanger encoded. Note that Sickle will remove the 2nd fastq record header (on the "+" line) and replace it with simply a "+". This is the default format for CASAVA >= 1.8. Sickle also supports gzipped file inputs and optional gzipped outputs. By default, Sickle will produce regular (i.e. not gzipped) output, regardless of the input. Sickle also has an option to truncate reads with Ns at the first N position. There is also a sickle.xml file included in the package that can be used to add sickle to your local Galaxy server. ## Citation Sickle doesn't have a paper, but you can cite it like this: Joshi NA, Fass JN. (2011). Sickle: A sliding-window, adaptive, quality-based trimming tool for FastQ files (Version 1.33) [Software]. Available at https://github.com/najoshi/sickle. ## Requirements Sickle requires a C compiler; GCC or clang are recommended. Sickle relies on Heng Li's kseq.h, which is bundled with the source. Sickle also requires Zlib, which can be obtained at <http://www.zlib.net/>. ## Building and Installing Sickle To build Sickle, enter: make Then, copy or move "sickle" to a directory in your $PATH. ## Usage Sickle has two modes to work with both paired-end and single-end reads: `sickle se` and `sickle pe`. Running sickle by itself will print the help: sickle Running sickle with either the "se" or "pe" commands will give help specific to those commands: sickle se sickle pe ### Sickle Single End (`sickle se`) `sickle se` takes an input fastq file and outputs a trimmed version of that file. It also has options to change the length and quality thresholds for trimming, as well as disabling 5'-trimming and enabling truncation of sequences with Ns. #### Examples sickle se -f input_file.fastq -t illumina -o trimmed_output_file.fastq sickle se -f input_file.fastq -t illumina -o trimmed_output_file.fastq -q 33 -l 40 sickle se -f input_file.fastq -t illumina -o trimmed_output_file.fastq -x -n sickle se -t sanger -g -f input_file.fastq -o trimmed_output_file.fastq.gz ### Sickle Paired End (`sickle pe`) `sickle pe` can operate with two types of input. First, it can take two paired-end files as input and outputs two trimmed paired-end files as well as a "singles" file. The second form starts with a single combined input file of reads where you have already interleaved the reads from the sequencer. In this form, you also supply a single output file name as well as a "singles" file. The "singles" file contains reads that passed filter in either the forward or reverse direction, but not the other. Finally, there is an option (-M) to only produce one interleaved output file where any reads that did not pass filter will be output as a FastQ record with a single "N" (whose quality value is the lowest possible based upon the quality type), thus preserving the paired nature of the data. You can also change the length and quality thresholds for trimming, as well as disable 5'-trimming and enable truncation of sequences with Ns. #### Examples sickle pe -f input_file1.fastq -r input_file2.fastq -t sanger \ -o trimmed_output_file1.fastq -p trimmed_output_file2.fastq \ -s trimmed_singles_file.fastq sickle pe -f input_file1.fastq -r input_file2.fastq -t sanger \ -o trimmed_output_file1.fastq -p trimmed_output_file2.fastq \ -s trimmed_singles_file.fastq -q 12 -l 15 sickle pe -f input_file1.fastq -r input_file2.fastq -t sanger \ -o trimmed_output_file1.fastq -p trimmed_output_file2.fastq \ -s trimmed_singles_file.fastq -n sickle pe -c combo.fastq -t sanger -m combo_trimmed.fastq \ -s trimmed_singles_file.fastq -n sickle pe -t sanger -g -f input_file1.fastq -r input_file2.fastq \ -o trimmed_output_file1.fastq.gz -p trimmed_output_file2.fastq.gz \ -s trimmed_singles_file.fastq.gz sickle pe -c combo.fastq -t sanger -M combo_trimmed_all.fastq ### Links https://github.com/najoshi/sickle http://bioinformatics.ucdavis.edu |
hg clone https://toolshed.g2.bx.psu.edu/repos/nikhil-joshi/sickle
| Name | Description | Version | Minimum Galaxy Version |
|---|---|---|---|
| Windowed Adaptive Trimming of FastQ data | 1.33 | any | |