Literature DB >> 22700313

Using cloud computing infrastructure with CloudBioLinux, CloudMan, and Galaxy.

Enis Afgan1, Brad Chapman, Margita Jadan, Vedran Franke, James Taylor.   

Abstract

Cloud computing has revolutionized availability and access to computing and storage resources, making it possible to provision a large computational infrastructure with only a few clicks in a Web browser. However, those resources are typically provided in the form of low-level infrastructure components that need to be procured and configured before use. In this unit, we demonstrate how to utilize cloud computing resources to perform open-ended bioinformatic analyses, with fully automated management of the underlying cloud infrastructure. By combining three projects, CloudBioLinux, CloudMan, and Galaxy, into a cohesive unit, we have enabled researchers to gain access to more than 100 preconfigured bioinformatics tools and gigabytes of reference genomes on top of the flexible cloud computing infrastructure. The protocol demonstrates how to set up the available infrastructure and how to use the tools via a graphical desktop interface, a parallel command-line interface, and the Web-based Galaxy interface.

Entities:  

Mesh:

Year:  2012        PMID: 22700313      PMCID: PMC3412548          DOI: 10.1002/0471250953.bi1109s38

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  13 in total

1.  MRBAYES: Bayesian inference of phylogenetic trees.

Authors:  J P Huelsenbeck; F Ronquist
Journal:  Bioinformatics       Date:  2001-08       Impact factor: 6.937

2.  A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

Authors:  Stéphane Guindon; Olivier Gascuel
Journal:  Syst Biol       Date:  2003-10       Impact factor: 15.683

3.  Open software for biologists: from famine to feast.

Authors:  Dawn Field; Bela Tiwari; Tim Booth; Stewart Houten; Dan Swan; Nicolas Bertrand; Milo Thurston
Journal:  Nat Biotechnol       Date:  2006-07       Impact factor: 54.908

4.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

Authors:  Da Wei Huang; Brad T Sherman; Richard A Lempicki
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

5.  jModelTest: phylogenetic model averaging.

Authors:  David Posada
Journal:  Mol Biol Evol       Date:  2008-04-08       Impact factor: 16.240

6.  Clustal W and Clustal X version 2.0.

Authors:  M A Larkin; G Blackshields; N P Brown; R Chenna; P A McGettigan; H McWilliam; F Valentin; I M Wallace; A Wilm; R Lopez; J D Thompson; T J Gibson; D G Higgins
Journal:  Bioinformatics       Date:  2007-09-10       Impact factor: 6.937

7.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

8.  Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.

Authors:  Cole Trapnell; Brian A Williams; Geo Pertea; Ali Mortazavi; Gordon Kwan; Marijke J van Baren; Steven L Salzberg; Barbara J Wold; Lior Pachter
Journal:  Nat Biotechnol       Date:  2010-05-02       Impact factor: 54.908

9.  Harnessing cloud computing with Galaxy Cloud.

Authors:  Enis Afgan; Dannon Baker; Nate Coraor; Hiroki Goto; Ian M Paul; Kateryna D Makova; Anton Nekrutenko; James Taylor
Journal:  Nat Biotechnol       Date:  2011-11-08       Impact factor: 54.908

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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  10 in total

1.  NMRbox: A Resource for Biomolecular NMR Computation.

Authors:  Mark W Maciejewski; Adam D Schuyler; Michael R Gryk; Ion I Moraru; Pedro R Romero; Eldon L Ulrich; Hamid R Eghbalnia; Miron Livny; Frank Delaglio; Jeffrey C Hoch
Journal:  Biophys J       Date:  2017-04-25       Impact factor: 4.033

2.  CloudLaunch: Discover and Deploy Cloud Applications.

Authors:  Enis Afgan; Andrew Lonie; James Taylor; Nuwan Goonasekera
Journal:  Future Gener Comput Syst       Date:  2018-06-15       Impact factor: 7.187

3.  Implementation of Cloud based next generation sequencing data analysis in a clinical laboratory.

Authors:  Getiria Onsongo; Jesse Erdmann; Michael D Spears; John Chilton; Kenneth B Beckman; Adam Hauge; Sophia Yohe; Matthew Schomaker; Matthew Bower; Kevin A T Silverstein; Bharat Thyagarajan
Journal:  BMC Res Notes       Date:  2014-05-23

4.  Collaborative cloud-enabled tools allow rapid, reproducible biological insights.

Authors:  Benjamin Ragan-Kelley; William Anton Walters; Daniel McDonald; Justin Riley; Brian E Granger; Antonio Gonzalez; Rob Knight; Fernando Perez; J Gregory Caporaso
Journal:  ISME J       Date:  2012-10-25       Impact factor: 10.302

5.  Experiences with workflows for automating data-intensive bioinformatics.

Authors:  Ola Spjuth; Erik Bongcam-Rudloff; Guillermo Carrasco Hernández; Lukas Forer; Mario Giovacchini; Roman Valls Guimera; Aleksi Kallio; Eija Korpelainen; Maciej M Kańduła; Milko Krachunov; David P Kreil; Ognyan Kulev; Paweł P Łabaj; Samuel Lampa; Luca Pireddu; Sebastian Schönherr; Alexey Siretskiy; Dimitar Vassilev
Journal:  Biol Direct       Date:  2015-08-19       Impact factor: 4.540

Review 6.  The Widening Gulf between Genomics Data Generation and Consumption: A Practical Guide to Big Data Transfer Technology.

Authors:  Frank A Feltus; Joseph R Breen; Juan Deng; Ryan S Izard; Christopher A Konger; Walter B Ligon; Don Preuss; Kuang-Ching Wang
Journal:  Bioinform Biol Insights       Date:  2015-09-23

7.  Meta4: a web application for sharing and annotating metagenomic gene predictions using web services.

Authors:  Emily J Richardson; Franck Escalettes; Ian Fotheringham; Robert J Wallace; Mick Watson
Journal:  Front Genet       Date:  2013-09-05       Impact factor: 4.599

8.  Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data.

Authors:  Charles Cole; Konstantinos Krampis; Konstantinos Karagiannis; Jonas S Almeida; William J Faison; Mona Motwani; Quan Wan; Anton Golikov; Yang Pan; Vahan Simonyan; Raja Mazumder
Journal:  BMC Bioinformatics       Date:  2014-01-27       Impact factor: 3.169

9.  Bioinformatics on the cloud computing platform Azure.

Authors:  Hugh P Shanahan; Anne M Owen; Andrew P Harrison
Journal:  PLoS One       Date:  2014-07-22       Impact factor: 3.240

10.  Deletion of transketolase triggers a stringent metabolic response in promastigotes and loss of virulence in amastigotes of Leishmania mexicana.

Authors:  Julie Kovářová; Andrew W Pountain; David Wildridge; Stefan Weidt; Frédéric Bringaud; Richard J S Burchmore; Fiona Achcar; Michael P Barrett
Journal:  PLoS Pathog       Date:  2018-03-19       Impact factor: 6.823

  10 in total

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