Transcript-targeted analysis reveals isoform alterations and double-hop fusions in breast cancer
Namba et al develop a new pipeline called MuSTA to enable the efficient assembly of transcriptome from long-read sequencing data of breast cancer samples. This method enables the authors to discover subtype-specific isoforms, find that fusion transcript structures depend on their genomic context and...
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| Autores principales: | , , , , , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/fed8f30c93874058b219cc151c3f2be3 |
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