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
  • [41] Identifying inaccuracies in gene expression estimates from unstranded RNA-seq data
    Pomaznoy, Mikhail
    Sethi, Ashu
    Greenbaum, Jason
    Peters, Bjoern
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [42] Identifying stably expressed genes from multiple RNA-Seq data sets
    Zhu, Bin
    Emerson, Sarah
    Chang, Jeff H.
    Di, Yanming
    PEERJ, 2016, 4
  • [43] Identifying inaccuracies in gene expression estimates from unstranded RNA-seq data
    Mikhail Pomaznoy
    Ashu Sethi
    Jason Greenbaum
    Bjoern Peters
    Scientific Reports, 9
  • [44] SimFuse: A Novel Fusion Simulator for RNA Sequencing (RNA-Seq) Data
    Tan, Yuxiang
    Tambouret, Yann
    Monti, Stefano
    BIOMED RESEARCH INTERNATIONAL, 2015, 2015
  • [45] SEaCorAl: Identifying and contrasting the regulation-correlation bias in RNA-Seq paired expression data of patient groups
    Petti, Manuela
    Verrienti, Antonella
    Paci, Paola
    Farina, Lorenzo
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 135
  • [46] A computational system for identifying operons based on RNA-seq data
    Tjaden, Brian
    METHODS, 2020, 176 : 62 - 70
  • [47] FusionCancer: a database of cancer fusion genes derived from RNA-seq data
    Yunjin Wang
    Nan Wu
    Jiaqi Liu
    Zhihong Wu
    Dong Dong
    Diagnostic Pathology, 10
  • [48] FusionCancer: a database of cancer fusion genes derived from RNA-seq data
    Wang, Yunjin
    Wu, Nan
    Liu, Jiaqi
    Wu, Zhihong
    Dong, Dong
    DIAGNOSTIC PATHOLOGY, 2015, 10
  • [49] Paired-end RNA-sequencing reveals novel fusion genes and SNVs in osteosarcoma
    Moon, So Young
    Bilke, Sven
    Davis, Sean
    Walker, Robert L.
    Pineda, Marbin
    Zhu, Yuelin Jack
    Abaan, Ogan
    Meltzer, Paul S.
    CANCER RESEARCH, 2012, 72
  • [50] Comprehensive assembly of novel transcripts from unmapped human RNA-Seq data and their association with cancer
    Kazemian, Majid
    Ren, Min
    Lin, Jian-Xin
    Liao, Wei
    Spolski, Rosanne
    Leonard, Warren J.
    MOLECULAR SYSTEMS BIOLOGY, 2015, 11 (08)