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ASGAL: aligning RNA-Seq data to a splicing graph to detect novel alternative splicing events
BACKGROUND: While the reconstruction of transcripts from a sample of RNA-Seq data is a computationally expensive and complicated task, the detection of splicing events from RNA-Seq data and a gene annotation is computationally feasible. This latter task, which is adequate for many transcriptome anal...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6247705/ https://ncbi.nlm.nih.gov/pubmed/30458725 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2436-3 |
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