Integrated analysis of genomic and transcriptomic data for the discovery of splice-as... | RTCL.TV
Channel: STEM RTCL TV
Date: 14/06/2023

### Keywords ###
#computationaltools #regulatoryconsequences #largescale #cancerrequires #requiresefficient #efficientcomputational #splicevariants #RTCLTV #shorts

### Article Attribution ###
Title: Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer
Authors: Kelsy C. Cotto, Yang-Yang Feng, Avinash Ramu, Megan Richters, Sharon L. Freshour, Zachary L. Skidmore, Huiming Xia, Joshua F. McMichael, Jason Kunisaki, Katie M. Campbell, Timothy Hung-Po Chen, Emily B. Rozycki, Douglas Adkins, Siddhartha Devarakonda, Sumithra Sankararaman, Yiing Lin, William C. Chapman, Christopher A. Maher, Vivek Arora, Gavin P. Dunn, Ravindra Uppaluri, Ramaswamy Govindan, Obi L. Griffith ,and Malachi Griffith
Publisher: Nature Portfolio
DOI: 10.1038/s41467-023-37266-6
DOAJ URL: https://doaj.org/article/a791b7f280e84d3d8c3cf984f3f564cd
Source URL: https://doi.org/10.1038/s41467-023-37266-6



### Image Attribution ###
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### Video Timestamps ###
0:00:00 - Summary 
0:00:19 - Title 
0:00:25 - End