Difference between revisions of "NovelSeq"
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{{Bioinformatics application | {{Bioinformatics application | ||
|sw summary=A computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data | |sw summary=A computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data | ||
| − | |bio domain=Structural | + | |bio domain=Structural variation, Indel detection |
| − | |bio method= | + | |bio method=Read mapping, Sequence assembly, Variant calling, |
| + | |bio tech=Illumina | ||
| + | |created by=Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan | ||
| + | |created at=Simon Fraser University | ||
| + | University of Washington | ||
|maintained=Yes | |maintained=Yes | ||
| − | |input format= | + | |input format=DIVET, SAM |
|output format=FASTA | |output format=FASTA | ||
|language=C | |language=C | ||
| − | |licence= | + | |licence=BSD |
| − | |os=UNIX | + | |os=UNIX, |
}} | }} | ||
== Description == | == Description == | ||
<!-- Describe the application in the space below --> | <!-- Describe the application in the space below --> | ||
| − | + | 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. | 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. | ||
Latest revision as of 19:58, 19 December 2015
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Application data |
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| Created by | Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan |
|---|---|
| Biological application domain(s) | Structural variation, Indel detection |
| Principal bioinformatics method(s) | Read mapping, Sequence assembly, Variant calling |
| Technology | Illumina |
| Created at | Simon Fraser University
University of Washington |
| Maintained? | Yes |
| Input format(s) | DIVET, SAM |
| Output format(s) | FASTA |
| Programming language(s) | C |
| Licence | BSD |
| Operating system(s) | UNIX |
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
To add a reference for NovelSeq, enter the PubMed ID in the field below and click 'Add'.
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