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Bioinformatics pipelines for targeted resequencing and whole-exome sequencing of human and mouse genomes: a virtual appliance approach for instant deployment.
Li, Jason; Doyle, Maria A; Saeed, Isaam; Wong, Stephen Q; Mar, Victoria; Goode, David L; Caramia, Franco; Doig, Ken; Ryland, Georgina L; Thompson, Ella R; Hunter, Sally M; Halgamuge, Saman K; Ellul, Jason; Dobrovic, Alexander; Campbell, Ian G; Papenfuss, Anthony T; McArthur, Grant A; Tothill, Richard W.
Affiliation
  • Li J; Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Department of Mechanical Engineering, The University of Melbourne, Parkville, VIC, Australia.
  • Doyle MA; Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Saeed I; Department of Mechanical Engineering, The University of Melbourne, Parkville, VIC, Australia; YourGene Biosciences Australia, Southbank, VIC, Australia.
  • Wong SQ; Molecular Pathology Research and Development Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Mar V; Victorian Melanoma Service, Alfred Hospital, Prahran, VIC, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Clayton, VIC, Australia; Molecular Oncology Laboratory, Oncogenic Signaling and Growth Control Program, Peter MacCallum Cancer Centre, East Melbourne, VIC, Aus
  • Goode DL; Sarcoma Genetics and Genomics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia; Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, V
  • Caramia F; Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Doig K; Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Ryland GL; Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Thompson ER; Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Hunter SM; Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Halgamuge SK; Department of Mechanical Engineering, The University of Melbourne, Parkville, VIC, Australia.
  • Ellul J; Bioinformatics, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia.
  • Dobrovic A; Molecular Pathology Research and Development Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Translational Genomics & Epigenomics Laboratory, Ludwig Institute for Cancer Research, Heidelberg, VIC, Australia.
  • Campbell IG; Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia.
  • Papenfuss AT; Bioinformatics division, The Walter and Eliza Hall Institute for Medical Research, Parkville, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia; Bioinformatics and Cancer Genomics Laboratory, Peter MacCallum Cancer Centre, East Melbour
  • McArthur GA; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, Australia; Molecular Oncology Laboratory, Oncogenic Signaling and Growth Control Program, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Translational Research Laboratory, Cancer Therapeutics Pro
  • Tothill RW; Translational Research Laboratory, Cancer Therapeutics Program, Peter MacCallum Cancer Centre, East Melbourne, VIC, Australia; Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
PLoS One ; 9(4): e95217, 2014.
Article in En | MEDLINE | ID: mdl-24752294
ABSTRACT
Targeted resequencing by massively parallel sequencing has become an effective and affordable way to survey small to large portions of the genome for genetic variation. Despite the rapid development in open source software for analysis of such data, the practical implementation of these tools through construction of sequencing analysis pipelines still remains a challenging and laborious activity, and a major hurdle for many small research and clinical laboratories. We developed TREVA (Targeted REsequencing Virtual Appliance), making pre-built pipelines immediately available as a virtual appliance. Based on virtual machine technologies, TREVA is a solution for rapid and efficient deployment of complex bioinformatics pipelines to laboratories of all sizes, enabling reproducible results. The analyses that are supported in TREVA include somatic and germline single-nucleotide and insertion/deletion variant calling, copy number analysis, and cohort-based analyses such as pathway and significantly mutated genes analyses. TREVA is flexible and easy to use, and can be customised by Linux-based extensions if required. TREVA can also be deployed on the cloud (cloud computing), enabling instant access without investment overheads for additional hardware. TREVA is available at http//bioinformatics.petermac.org/treva/.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: User-Computer Interface / Genome, Human / Sequence Analysis, DNA / Computational Biology / Exome Limits: Animals / Humans Language: En Year: 2014 Type: Article

Full text: 1 Database: MEDLINE Main subject: User-Computer Interface / Genome, Human / Sequence Analysis, DNA / Computational Biology / Exome Limits: Animals / Humans Language: En Year: 2014 Type: Article