Difference between revisions of "NovelSeq"
| Line 3: | Line 3: | ||
|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 | ||
| + | |bio tech=Illumina | ||
|created by=Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan | |created by=Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan | ||
|created at=Simon Fraser University | |created at=Simon Fraser University | ||
| − | University of Washington | + | University of Washington |
| − | |||
|maintained=Yes | |maintained=Yes | ||
|input format=DiVet, SAM | |input format=DiVet, SAM | ||
| Line 17: | Line 17: | ||
<!-- 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. | ||
Revision as of 23:35, 2 November 2010
|
Application data |
|
| Created by | Iman Hajirasouliha, Fereydoun Hormozdiari, Can Alkan |
|---|---|
| Biological application domain(s) | Structural variants - Novel sequence insertions |
| Principal bioinformatics method(s) | Mapping, Hard Clustering, Combinatorial Optimization, Assembly |
| 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 | BSC License |
| Operating system(s) | UNIX |
Summary: A computational framework to discover the content and location of long novel sequence insertions using paired-end sequencing data
"Error: no local variable "counter" was set." is not a number.
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'.
Search for "NovelSeq" in the SEQanswers forum / BioStar or:
| Web Search | Wiki Sites | Scientific |
|---|---|---|
