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Citations per year

Number of citations per year for the bioinformatics software tool QSRA
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QSRA specifications

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Unique identifier OMICS_00026
Name QSRA
Alternative name Quality-value guided Short Read Assembler
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Input data Unassembled reads
Output data Assembled contigs
Operating system Unix/Linux, Mac OS
Programming languages C++
Computer skills Advanced
Version 1.0
Stability Stable
Maintained No

Versioning


No version available

Maintainers


This tool is not maintained anymore.

Publication for Quality-value guided Short Read Assembler

QSRA citation

library_books

A base composition analysis of natural patterns for the preprocessing of metagenome sequences

2013
BMC Bioinformatics
PMCID: 3816298
PMID: 24564274
DOI: 10.1186/1471-2105-14-S11-S5

[…] approaches from probability theory, or from the memory-based, are gaining popularity. This was determined by Zhang et. al. [] who compared the performance of eight distinct tools (i.e., SSAKE, VCAKE, QSRA, SHARCGS, Edena, Velvet, SOAPdenovo, and Taipan) against eight groups of simulated datasets.In metagenomic studies, where there are different kinds of reads or contigs mixed together into the sam […]


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QSRA institution(s)
Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, USA; Department of Botany and Plant Pathology and Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR, USA
QSRA funding source(s)
Supported by Oregon State University, grant ARF4435 from the Oregon Agricultural Research Foundation, and a NSF Plant Genome Grant DBI 0605240.

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