ASV-ID specifications
Information
| Unique identifier | OMICS_32465 |
|---|---|
| Name | ASV-ID |
| Alternative name | Alternative Splicing Variants IDentification |
| Software type | Application/Script |
| Interface | Command line interface |
| Restrictions to use | None |
| Biological technology | Illumina |
| Operating system | Unix/Linux |
| Computer skills | Advanced |
| Stability | Stable |
| Maintained | Yes |
Versioning
No version available
Maintainer
- person_outline Young-Ki Paik
Publication for Alternative Splicing Variants IDentification
library_books
ASV-ID, a Proteogenomic Workflow to Predict Candidate Protein Isoforms based on Transcript Evidence.
2018 J Proteome Res
PMID: 30289715
ASV-ID institution(s)
Yonsei Proteome Research Center, Yonsei University, Seoul, Korea; Department of Integrative Omics, Graduate School, Yonsei University, Seoul, Korea
ASV-ID funding source(s)
Supported by grants from the Korean Ministry of Health and Welfare: [HI13C2098]-International Consortium Project and [HI16C0257].
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