Genomics & Informatics

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FusionScan: accurate prediction of fusion genes from RNA-Seq data

Pora Kim, Ye Eun Jang, Sanghyuk Lee

Genomics Inform. 2019;17(3):e26 Published online July 23, 2019
DOI: https://doi.org/10.5808/GI.2019.17.3.e26

FusionScan: accurate prediction of fusion genes from RNA-Seq data

Pora Kim, Ye Eun Jang, Sanghyuk Lee

Genomics & Informatics. 2019;17(3):e26

PO-400 Arriba – fast and accurate gene fusion detection from RNA-seq data

S. Uhrig, M. Fröhlich, B. Hutter, B. Brors

ESMO Open. 2018;3:A179

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GFusion: an Effective Algorithm to Identify Fusion Genes from Cancer RNA-Seq Data

Jian Zhao, Qi Chen, Jing Wu, Ping Han, Xiaofeng Song

Scientific Reports. 2017;7(1):

FusionCancer: a database of cancer fusion genes derived from RNA-seq data

Yunjin Wang, Nan Wu, Jiaqi Liu, Zhihong Wu, Dong Dong

Diagnostic Pathology. 2015;10(1):

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A fast detection of fusion genes from paired-end RNA-seq data

Trung Nghia Vu, Wenjiang Deng, Quang Thinh Trac, Stefano Calza, Woochang Hwang, Yudi Pawitan

BMC Genomics. 2018;19(1):

Identification of a novelPARP14-TFE3gene fusion from 10-year-old FFPE tissue by RNA-seq

Weihua Huang, Michael Goldfischer, Sabina Babayeva, Yong Mao, Konstantin Volyanskyy, Nevenka Dimitrova, John T. Fallon, Minghao Zhong

Genes, Chromosomes and Cancer. 2015;54(8):500-505

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Acfs: accurate circRNA identification and quantification from RNA-Seq data

Xintian You, Tim OF Conrad

Scientific Reports. 2016;6(1):

Statistical Issues in the Analysis of ChIP-Seq and RNA-Seq Data

Debashis Ghosh, Zhaohui S. Qin

Genes. 2010;1(2):317-334

SNP development from RNA-seq data in a nonmodel fish: how many individuals are needed for accurate allele frequency prediction?

C. Schunter, J. C. Garza, E. Macpherson, M. Pascual

Molecular Ecology Resources. 2013;14(1):157-165

Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model

Zhenqiu Liu

Genes. 2021;12(2):311