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 | ||
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|maintained=Yes | |maintained=Yes | ||
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Revision as of 23:20, 2 November 2010
Application data |
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Biological application domain(s) | Structural variants - Novel sequence insertions |
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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
- NovelSeq Homepage [ edit link ]
- NovelSeq Related [ edit link ]
- NovelSeq Related [ edit link ]
- NovelSeq Related [ edit link ]
References
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