ASCOT identifies key regulators of neuronal subtype-specific splicing
The increasing amount of raw RNA-seq data calls for new computational methods to mine information. Here, the authors present ASCOT, a computational resource to identify splice variants in RNA-seq data, and apply it to splicing patterns in neurons and unique splicing patterns in rod photoreceptors.
Guardado en:
Autores principales: | Jonathan P. Ling, Christopher Wilks, Rone Charles, Patrick J. Leavey, Devlina Ghosh, Lizhi Jiang, Clayton P. Santiago, Bo Pang, Anand Venkataraman, Brian S. Clark, Abhinav Nellore, Ben Langmead, Seth Blackshaw |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/7ea8584150d14155b401fb552d0229f2 |
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