Discovery of regulatory noncoding variants in individual cancer genomes by using cis-X

We developed cis-X, a computational method for discovery of regulatory noncoding variants in cancer by integrating whole genome and transcriptome sequencing data from a single cancer sample. cis-X first finds aberrantly cis-activated genes that exhibit allele-specific expression accompanied by an el...

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Detalles Bibliográficos
Autores principales: Liu, Yu, Li, Chunliang, Shen, Shuhong, Chen, Xiaolong, Szlachta, Karol, Edmonson, Michael N., Shao, Ying, Ma, Xiaotu, Hyle, Judith, Wright, Shaela, Ju, Bensheng, Rusch, Michael C., Liu, Yanling, Li, Benshang, Macias, Michael, Tian, Liqing, Easton, John, Qian, Maoxiang, Yang, Jun J., Hu, Shaoyan, Look, A. Thomas, Zhang, Jinghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679232/
https://www.ncbi.nlm.nih.gov/pubmed/32632335
http://dx.doi.org/10.1038/s41588-020-0659-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7679232/
https://www.ncbi.nlm.nih.gov/pubmed/32632335
http://dx.doi.org/10.1038/s41588-020-0659-5

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