Cargando…
Fusion Gene Detection Using Whole-Exome Sequencing Data in Cancer Patients
Several fusion genes are directly involved in the initiation and progression of cancers. Numerous bioinformatics tools have been developed to detect fusion events, but they are mainly based on RNA-seq data. The whole-exome sequencing (WES) represents a powerful technology that is widely used for dis...
Autores principales: | Deng, Wenjiang, Murugan, Sarath, Lindberg, Johan, Chellappa, Venkatesh, Shen, Xia, Pawitan, Yudi, Vu, Trung Nghia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888970/ https://www.ncbi.nlm.nih.gov/pubmed/35251131 http://dx.doi.org/10.3389/fgene.2022.820493 |
Ejemplares similares
-
Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing
por: Mou, Tian, et al.
Publicado: (2020) -
A fast detection of fusion genes from paired-end RNA-seq data
por: Vu, Trung Nghia, et al.
Publicado: (2018) -
Quantification of mutant–allele expression at isoform level in cancer from RNA-seq data
por: Deng, Wenjiang, et al.
Publicado: (2022) -
Accumulation of potential driver genes with genomic alterations predicts survival of high-risk neuroblastoma patients
por: Suo, Chen, et al.
Publicado: (2018) -
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data
por: Deng, Wenjiang, et al.
Publicado: (2019)