Accurate Detection of Fusion Genes in Long-Read Transcriptome Datasets from Multiple Cancer Cell Lines
Author:
Affiliation:
1. Graduate School of Information Science and Technology, Osaka University, Japan
2. Graduate School of Medicine, Osaka University, Japan
Funder
Japanese Society for the Promotion of Science
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3640900.3640909
Reference23 articles.
1. Estrogen-related receptor α and estrogen-related receptor γ associate with unfavorable and favorable biomarkers, respectively, in human breast cancer;Ariazi A;Cancer Research,2002
2. A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines
3. Gene Fusion Detection and Characterization in Long-Read Cancer Transcriptome Sequencing Data with FusionSeeker
4. Fusion-Bloom: fusion detection in assembled transcriptomes
5. Continuous base identification for single-molecule nanopore DNA sequencing
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