TrawlerWeb: an online de novo motif discovery tool for next-generation sequencing datasets

被引:10
|
作者
Dang, Louis T. [1 ]
Tondl, Markus [1 ]
Chiu, Man Ho H. [1 ]
Revote, Jerico [2 ]
Paten, Benedict [3 ]
Tano, Vincent [4 ]
Tokolyi, Alex [1 ]
Besse, Florence [5 ]
Quaife-Ryan, Greg [6 ]
Cumming, Helen [7 ]
Drvodelic, Mark J. [1 ]
Eichenlaub, Michael P. [1 ]
Hallab, Jeannette C. [1 ]
Stolper, Julian S. [1 ]
Rossello, Fernando J. [1 ]
Bogoyevitch, Marie A. [4 ]
Jans, David A. [8 ]
Nim, Hieu T. [1 ,9 ]
Porrello, Enzo R. [10 ,11 ]
Hudson, James E. [6 ]
Ramialison, Mirana [1 ]
机构
[1] Monash Univ, Syst Biol Inst Australia, Australian Regenerat Med Inst, Clayton, Vic, Australia
[2] Monash Univ, eResearch, Clayton, Vic, Australia
[3] Univ Calif Santa Cruz, Genom Inst, Santa Cruz, CA 95064 USA
[4] Univ Melbourne, Inst & Cell Signalling Res Labs Bio21, Dept Biochem & Mol Biol, Melbourne, Vic, Australia
[5] Univ Cote dAzur, Inst Biol Valrose, CNRS, INSERM, Parc Valrose, Nice, France
[6] Univ Queensland, Sch Biomed Sci, Brisbane, Qld, Australia
[7] Monash Univ, Hudson Inst Med Res, Ctr Innate Immun & Infect Dis, Clayton, Vic, Australia
[8] Monash Univ, Dept Biochem & Mol Biol, Clayton, Vic, Australia
[9] Monash Univ, Fac Informat Technol, Clayton, Vic, Australia
[10] Royal Childrens Hosp, Murdoch Childrens Res Inst, Parkville, Vic, Australia
[11] Univ Melbourne, Sch Biomed Sci, Dept Physiol, Parkville, Vic, Australia
来源
BMC GENOMICS | 2018年 / 19卷
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
Motif discovery; Transcription factor binding site; Motif conservation; Chromatin immunoprecipitation; Next generation sequencing; CHIP-SEQ; BINDING-SITES; DNA; TRANSCRIPTION; CHROMATIN; ENHANCERS; COLLECTION; EXPRESSION; VARIANTS; PROTEINS;
D O I
10.1186/s12864-018-4630-0
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
Background: A strong focus of the post-genomic era is mining of the non-coding regulatory genome in order to unravel the function of regulatory elements that coordinate gene expression (Nat 489: 57-74, 2012; Nat 507: 462-70, 2014; Nat 507: 455-61, 2014; Nat 518: 317-30, 2015). Whole-genome approaches based on next-generation sequencing (NGS) have provided insight into the genomic location of regulatory elements throughout different cell types, organs and organisms. These technologies are now widespread and commonly used in laboratories from various fields of research. This highlights the need for fast and user-friendly software tools dedicated to extracting cis-regulatory information contained in these regulatory regions; for instance transcription factor binding site (TFBS) composition. Ideally, such tools should not require prior programming knowledge to ensure they are accessible for all users. Results: We present TrawlerWeb, a web-based version of the Trawler_standalone tool (Nat Methods 4: 563-5, 2007; Nat Protoc 5: 323-34, 2010), to allow for the identification of enriched motifs in DNA sequences obtained from next-generation sequencing experiments in order to predict their TFBS composition. TrawlerWeb is designed for online queries with standard options common to web-based motif discovery tools. In addition, TrawlerWeb provides three unique new features: 1) TrawlerWeb allows the input of BED files directly generated from NGS experiments, 2) it automatically generates an input-matched biologically relevant background, and 3) it displays resulting conservation scores for each instance of the motif found in the input sequences, which assists the researcher in prioritising the motifs to validate experimentally. Finally, to date, this web-based version of Trawler_standalone remains the fastest online de novo motif discovery tool compared to other popular web-based software, while generating predictions with high accuracy. Conclusions: TrawlerWeb provides users with a fast, simple and easy-to-use web interface for de novo motif discovery. This will assist in rapidly analysing NGS datasets that are now being routinely generated. TrawlerWeb is freely available and accessible at: http://trawler.erc.monash.edu.au.
引用
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页数:9
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