SOAPfuse: an algorithm for identifying fusion transcripts from paired-end RNA-Seq data

被引:133
|
作者
Jia, Wenlong [1 ,2 ]
Qiu, Kunlong [1 ,2 ]
He, Minghui [1 ,2 ]
Song, Pengfei [2 ]
Zhou, Quan [1 ,2 ,3 ]
Zhou, Feng [2 ,4 ]
Yu, Yuan [2 ]
Zhu, Dandan [2 ]
Nickerson, Michael L. [5 ]
Wan, Shengqing [1 ,2 ]
Liao, Xiangke [6 ]
Zhu, Xiaoqian [6 ,7 ]
Peng, Shaoliang [6 ,7 ]
Li, Yingrui [1 ,2 ]
Wang, Jun [1 ,2 ,8 ,9 ]
Guo, Guangwu [1 ,2 ]
机构
[1] BGI Tech Solut Co Ltd, Shenzhen 518083, Peoples R China
[2] BGI Shenzhen, Shenzhen 518083, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Life Sci & Technol, Chengdu 610054, Peoples R China
[4] S China Univ Technol, Guangzhou Higher Educ Mega Ctr, Sch Biosci & Bioengn, Guangzhou 510006, Guangdong, Peoples R China
[5] NCI, Canc & Inflammat Program, NIH, Frederick, MD 21702 USA
[6] Natl Univ Def Technol, Sch Comp Sci, Changsha 410073, Hunan, Peoples R China
[7] Natl Univ Def Technol, State Key Lab High Performance Comp, Changsha 410073, Hunan, Peoples R China
[8] Univ Copenhagen, Novo Nordisk Fdn Ctr Basic Metab Res, DK-1165 Copenhagen, Denmark
[9] Univ Copenhagen, Dept Biol, DK-1165 Copenhagen, Denmark
来源
GENOME BIOLOGY | 2013年 / 14卷 / 02期
基金
国家高技术研究发展计划(863计划);
关键词
GENE FUSIONS; BREAST-CANCER; IDENTIFICATION; ULTRAFAST; DISCOVERY; ALIGNMENT; TOOL;
D O I
10.1186/gb-2013-14-2-r12
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We have developed a new method, SOAPfuse, to identify fusion transcripts from paired-end RNA-Seq data. SOAPfuse applies an improved partial exhaustion algorithm to construct a library of fusion junction sequences, which can be used to efficiently identify fusion events, and employs a series of filters to nominate high-confidence fusion transcripts. Compared with other released tools, SOAPfuse achieves higher detection efficiency and consumed less computing resources. We applied SOAPfuse to RNA-Seq data from two bladder cancer cell lines, and confirmed 15 fusion transcripts, including several novel events common to both cell lines. SOAPfuse is available at http://soap.genomics.org.cn/soapfuse.html.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Improved characterization of 3′ single-cell RNA-seq libraries with paired-end avidity sequencing
    Chamberlin, John T.
    Gillen, Austin E.
    Quinlan, Aaron R.
    NAR GENOMICS AND BIOINFORMATICS, 2024, 6 (04)
  • [22] Detection of Fusion Transcripts in Hematologic Malignancies by RNA-Seq
    Szankasi, P.
    Paxton, C. N.
    Shen, W.
    Rindler, P. M.
    O'Fallon, A.
    Schumacher, J. A.
    Xu, X.
    Kelley, T. W.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2017, 19 (06): : 955 - 956
  • [23] The identification and characterization of novel transcripts from RNA-seq data
    Weirick, Tyler
    Militello, Giuseppe
    Mueller, Raphael
    John, David
    Dimmeler, Stefanie
    Uchida, Shizuka
    BRIEFINGS IN BIOINFORMATICS, 2016, 17 (04) : 678 - 685
  • [24] Novel fusion transcripts in bladder cancer identified by RNA-seq
    Kekeeva, T.
    Tanas, A.
    Kanygina, A.
    Alexeev, D.
    Shikeeva, A.
    Zavalishina, L.
    Andreeva, Y.
    Frank, G. A.
    Zaletaev, D.
    CANCER LETTERS, 2016, 374 (02) : 224 - 228
  • [25] FCRF: An efficient algorithm for detecting circular fusion transcript from RNA-Seq data
    Yu, Han
    Zhang, Xuanping
    Guan, Yanfang
    Chen, Yongsheng
    Xiao, Xiao
    Wang, Jiayin
    CANCER RESEARCH, 2019, 79 (13)
  • [26] GFusion: an Effective Algorithm to Identify Fusion Genes from Cancer RNA-Seq Data
    Zhao, Jian
    Chen, Qi
    Wu, Jing
    Han, Ping
    Song, Xiaofeng
    SCIENTIFIC REPORTS, 2017, 7
  • [27] Differential expression analysis for paired RNA-seq data
    Chung, Lisa M.
    Ferguson, John P.
    Zheng, Wei
    Qian, Feng
    Bruno, Vincent
    Montgomery, Ruth R.
    Zhao, Hongyu
    BMC BIOINFORMATICS, 2013, 14 : 110
  • [28] 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, 7
  • [29] Differential expression analysis for paired RNA-seq data
    Lisa M Chung
    John P Ferguson
    Wei Zheng
    Feng Qian
    Vincent Bruno
    Ruth R Montgomery
    Hongyu Zhao
    BMC Bioinformatics, 14
  • [30] VFP: A Visual Algorithm for Predicting Gene Fusion in RNA-Seq Data
    Yang, Ye
    Liu, Juan
    CURRENT BIOINFORMATICS, 2016, 11 (01) : 115 - 121