Difference between revisions of "NovelSeq"

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|bio domain=Structural variants - Novel sequence insertions
 
|bio domain=Structural variants - Novel sequence insertions
 
|bio method=Mapping, Hard Clustering, Combinatorial Optimization, Assembly
 
|bio method=Mapping, Hard Clustering, Combinatorial Optimization, Assembly
|created at=Simon Fraser University, BC, CANADA
 
University of Washington, WA, USA
 
 
|maintained=Yes
 
|maintained=Yes
 
}}
 
}}

Revision as of 23:20, 2 November 2010

Application data

Biological application domain(s) Structural variants - Novel sequence insertions
Principal bioinformatics method(s) Mapping, Hard Clustering, Combinatorial Optimization, Assembly
Maintained? Yes

Summary: A computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data

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Description

a computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data generated by the next-generation sequencing platforms. Our framework can be built as part of a general sequence analysis pipeline to discover multiple types of genetic variation (SNPs, structural variation, etc.), thus it requires significantly less computational resources than de novo sequence assembly.




Links


References

  1. . 2010. Bioinformatics


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