Difference between revisions of "Skewer"

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m (Text replace - "([= ])Trimming," to "$1Sequence trimming,")
 
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{{Bioinformatics application
 
{{Bioinformatics application
 
|sw summary=Skewer implements a novel dynamic programming algorithm dedicated to the task of adapter trimming and it is specially designed for processing illumina paired-end sequences.
 
|sw summary=Skewer implements a novel dynamic programming algorithm dedicated to the task of adapter trimming and it is specially designed for processing illumina paired-end sequences.
|bio domain=Small RNA Sequencing, RNA-Seq, Whole Genome Resequencing, De novo Sequencing,
+
|bio domain=Small RNA Sequencing, RNA-Seq, Sequence assembly
|bio method=Read pre-processing, Adapter removal, Sequence trimming,
+
|bio method=Read pre-processing, Adapter removal, Sequence trimming, Read mapping,
 
|bio tech=Illumina, Illumina HiSeq, Illumina Solexa,
 
|bio tech=Illumina, Illumina HiSeq, Illumina Solexa,
 
|created by=Hongshan Jiang
 
|created by=Hongshan Jiang

Latest revision as of 18:23, 2 December 2015

Application data

Created by Hongshan Jiang
Biological application domain(s) Small RNA Sequencing, RNA-Seq, Sequence assembly
Principal bioinformatics method(s) Read pre-processing, Adapter removal, Sequence trimming, Read mapping
Technology Illumina, Illumina HiSeq, Illumina Solexa
Created at University of California Riverside, CA 92521, USA
Maintained? Yes
Input format(s) (Compressed) FASTQ, (Compressed) FASTA
Output format(s) Fasta/q, Fasta.gz, fastq.gz
Software features multi-threading
Programming language(s) C++
Operating system(s) Linux 64
Contact: hongshan.jiang@ucr.edu

Summary: Skewer implements a novel dynamic programming algorithm dedicated to the task of adapter trimming and it is specially designed for processing illumina paired-end sequences.

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Description

http://www.biomedcentral.com/1471-2105/15/182

Links


References

  1. . 2014. BMC Bioinformatics


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