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

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

Abstract Fusion gene derived from genomic rearrangement plays a key role in cancer initiation. The discovery of novel gene fusions may be of significant importance in cancer diagnosis and treatment. Meanwhile, next generation sequencing technology provide a sensitive and efficient way to identify ge...

Full description

Bibliographic Details
Main Authors:	Jian Zhao, Qi Chen, Jing Wu, Ping Han, Xiaofeng Song
Format:	Article
Language:	English
Published:	Nature Publishing Group 2017-07-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-017-07070-6

Similar Items

deFuse: an algorithm for gene fusion discovery in tumor RNA-Seq data.
by: Andrew McPherson, et al.
Published: (2011-05-01)

FusionFinder: a software tool to identify expressed gene fusion candidates from RNA-Seq data.
by: Richard W Francis, et al.
Published: (2012-01-01)

FusionScan: accurate prediction of fusion genes from RNA-Seq data
by: Pora Kim, et al.
Published: (2019-07-01)

A comprehensive evaluation of fusion gene detection algorithms in paired-end RNA-Seq data
by: Wei-Hsiang Tsai, et al.
Published: (2014)

RNA-Seq mapping and detection of gene fusions with a suffix array algorithm.
by: Onur Sakarya, et al.
Published: (2012-01-01)

Circular RNA expression profiles and features in human tissues: a study using RNA-seq data
by: Tianyi Xu, et al.
Published: (2017-10-01)

Variance component testing for identifying differentially expressed genes in RNA-seq data
by: Sheng Yang, et al.
Published: (2017-09-01)

Identifying and exploiting gene-pathway interactions from RNA-seq data for binary phenotype
by: Fang Shao, et al.
Published: (2019-03-01)

A fast detection of fusion genes from paired-end RNA-seq data
by: Trung Nghia Vu, et al.
Published: (2018-11-01)

Identifying stably expressed genes from multiple RNA-Seq data sets
by: Bin Zhuo, et al.
Published: (2016-12-01)

Identify Huntington’s disease associated genes based on restricted Boltzmann machine with RNA-seq data
by: Xue Jiang, et al.
Published: (2017-10-01)

SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data
by: Yuxiang Tan, et al.
Published: (2015-01-01)

An Efficient Algorithm for Sensitively Detecting Circular RNA from RNA-seq Data
by: Xuanping Zhang, et al.
Published: (2018-09-01)

A Hybrid Clustering Algorithm for Identifying Cell Types from Single-Cell RNA-Seq Data
by: Xiaoshu Zhu, et al.
Published: (2019-01-01)

Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes
by: Amanda M. Ackermann, et al.
Published: (2016-03-01)

Statistical methods for identifying differentially expressed genes in RNA-Seq experiments
by: Fang Zhide, et al.
Published: (2012-07-01)

nf-rnaSeqMetagen: A nextflow metagenomics pipeline for identifying and characterizing microbial sequences from RNA-seq data
by: Phelelani T. Mpangase, et al.
Published: (2020-06-01)

A Double-weighted Normalization Method for Identifying Differential Expression of RNA-seq Data
by: Xiaohui Wu, et al.
Published: (2014-12-01)

Integrative Data Analysis of Microarray and RNA-seq
by: Wang, Qi
Published: (2019)

On Differential Gene Expression Using RNA-Seq Data
by: Juhee Lee, et al.
Published: (2011-08-01)

On Differential Gene expression Using RNA-Seq Data
by: Juhee Lee, et al.
Published: (2011-01-01)

Gene Set Enrichment Analysis of RNA-Seq data
by: Pei-Hsun Li, et al.
Published: (2016)

Testing for differentially expressed genes with RNA-Seq data
by: 呂泓廷

Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
by: Yu Fu, et al.
Published: (2018-07-01)

A graph-based algorithm for RNA-seq data normalization.
by: Diem-Trang Tran, et al.
Published: (2020-01-01)

Algorithms for Transcriptome Quantification and Reconstruction from RNA-Seq Data
by: Mangul, Serghei
Published: (2012)

Gene fusion discovery through RNA-seq and inversion detection via optical mapping
by: Wu, Jikun, et al.
Published: (2014)

<i>Fugacium</i> Spliced Leader Genes Identified from Stranded RNA-Seq Datasets
by: Yue Song, et al.
Published: (2019-06-01)

Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data
by: Yaru Zhang, et al.
Published: (2020-01-01)

NASA GeneLab RNA-seq consensus pipeline: Standardized processing of short-read RNA-seq data
by: Eliah G. Overbey, et al.
Published: (2021-04-01)

A Generative Adversarial Network Model for Disease Gene Prediction With RNA-seq Data
by: Xue Jiang, et al.
Published: (2020-01-01)

Integration of RNA-Seq and proteomics data identifies glioblastoma multiforme surfaceome signature
by: Saiful Effendi Syafruddin, et al.
Published: (2021-07-01)

Automated identification of reference genes based on RNA-seq data
by: Rosario Carmona, et al.
Published: (2017-08-01)

IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis.
by: Brandon Monier, et al.
Published: (2019-02-01)

Performance evaluation of lossy quality compression algorithms for RNA-seq data
by: Rongshan Yu, et al.
Published: (2020-07-01)

A Novel Analytical Strategy to Identify Fusion Transcripts between Repetitive Elements and Protein Coding-Exons Using RNA-Seq.
by: Tianyuan Wang, et al.
Published: (2016-01-01)

Differential expression analysis using a model-based gene clustering algorithm for RNA-seq data
by: Kadota, K., et al.
Published: (2021)

ChIP-PaM: an algorithm to identify protein-DNA interaction using ChIP-Seq data
by: Pounds Stanley, et al.
Published: (2010-06-01)

Using Exome-Seq data to identify cancer driver mutations / genes
by: Chen-Yang Chen, et al.
Published: (2013)

DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data
by: Zhihua Gao, et al.
Published: (2018-11-01)