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Items: 1 to 20 of 94

1.

A cloud-based simulation architecture for pandemic influenza simulation.

Eriksson H, Raciti M, Basile M, Cunsolo A, Fröberg A, Leifler O, Ekberg J, Timpka T.

AMIA Annu Symp Proc. 2011;2011:364-73. Epub 2011 Oct 22.

2.

Processing shotgun proteomics data on the Amazon cloud with the trans-proteomic pipeline.

Slagel J, Mendoza L, Shteynberg D, Deutsch EW, Moritz RL.

Mol Cell Proteomics. 2015 Feb;14(2):399-404. doi: 10.1074/mcp.O114.043380. Epub 2014 Nov 23.

3.

Performance Management of High Performance Computing for Medical Image Processing in Amazon Web Services.

Bao S, Damon SM, Landman BA, Gokhale A.

Proc SPIE Int Soc Opt Eng. 2016 Feb 27;9789. pii: 97890Q. Epub 2016 Mar 25.

4.

Dynamic Multicore Processing for Pandemic Influenza Simulation.

Eriksson H, Timpka T, Spreco A, Dahlström Ö, Strömgren M, Holm E.

AMIA Annu Symp Proc. 2017 Feb 10;2016:534-540. eCollection 2016.

5.

Toward a web-based real-time radiation treatment planning system in a cloud computing environment.

Na YH, Suh TS, Kapp DS, Xing L.

Phys Med Biol. 2013 Sep 21;58(18):6525-40. doi: 10.1088/0031-9155/58/18/6525. Epub 2013 Sep 3.

PMID:
24002571
6.

Automating NEURON Simulation Deployment in Cloud Resources.

Stockton DB, Santamaria F.

Neuroinformatics. 2017 Jan;15(1):51-70. doi: 10.1007/s12021-016-9315-8.

PMID:
27655341
7.

Biomedical cloud computing with Amazon Web Services.

Fusaro VA, Patil P, Gafni E, Wall DP, Tonellato PJ.

PLoS Comput Biol. 2011 Aug;7(8):e1002147. doi: 10.1371/journal.pcbi.1002147. Epub 2011 Aug 25.

8.

AceCloud: Molecular Dynamics Simulations in the Cloud.

Harvey MJ, De Fabritiis G.

J Chem Inf Model. 2015 May 26;55(5):909-14. doi: 10.1021/acs.jcim.5b00086. Epub 2015 Apr 17.

PMID:
25849093
9.

CloudMC: a cloud computing application for Monte Carlo simulation.

Miras H, Jiménez R, Miras C, Gomà C.

Phys Med Biol. 2013 Apr 21;58(8):N125-33. doi: 10.1088/0031-9155/58/8/N125. Epub 2013 Mar 21.

PMID:
23514937
10.

QoS-aware health monitoring system using cloud-based WBANs.

Almashaqbeh G, Hayajneh T, Vasilakos AV, Mohd BJ.

J Med Syst. 2014 Oct;38(10):121. doi: 10.1007/s10916-014-0121-2. Epub 2014 Aug 16.

PMID:
25123456
11.

Condor-COPASI: high-throughput computing for biochemical networks.

Kent E, Hoops S, Mendes P.

BMC Syst Biol. 2012 Jul 26;6:91. doi: 10.1186/1752-0509-6-91.

12.

Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community.

Krampis K, Booth T, Chapman B, Tiwari B, Bicak M, Field D, Nelson KE.

BMC Bioinformatics. 2012 Mar 19;13:42. doi: 10.1186/1471-2105-13-42.

14.

Rainbow: a tool for large-scale whole-genome sequencing data analysis using cloud computing.

Zhao S, Prenger K, Smith L, Messina T, Fan H, Jaeger E, Stephens S.

BMC Genomics. 2013 Jun 27;14:425. doi: 10.1186/1471-2164-14-425.

15.

US university response to H1N1: a study of access to online preparedness and response information.

Schwartz RD, Bayles BR.

Am J Infect Control. 2012 Mar;40(2):170-4. doi: 10.1016/j.ajic.2011.02.021. Epub 2011 Jul 22.

PMID:
21782280
16.

The monitoring and managing application of cloud computing based on Internet of Things.

Luo S, Ren B.

Comput Methods Programs Biomed. 2016 Jul;130:154-61. doi: 10.1016/j.cmpb.2016.03.024. Epub 2016 Apr 1.

PMID:
27208530
17.

A service brokering and recommendation mechanism for better selecting cloud services.

Gui Z, Yang C, Xia J, Huang Q, Liu K, Li Z, Yu M, Sun M, Zhou N, Jin B.

PLoS One. 2014 Aug 29;9(8):e105297. doi: 10.1371/journal.pone.0105297. eCollection 2014.

18.

MC-GenomeKey: a multicloud system for the detection and annotation of genomic variants.

Elshazly H, Souilmi Y, Tonellato PJ, Wall DP, Abouelhoda M.

BMC Bioinformatics. 2017 Jan 20;18(1):49. doi: 10.1186/s12859-016-1454-2.

19.

The integrated information architecture: a pilot study approach to leveraging logistics management with regard to influenza preparedness.

Lin C, Lin CM, Yen DC, Wu WH.

J Med Syst. 2012 Feb;36(1):187-200. doi: 10.1007/s10916-010-9458-3. Epub 2010 Mar 27.

PMID:
20703736
20.

CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline.

Agrawal S, Arze C, Adkins RS, Crabtree J, Riley D, Vangala M, Galens K, Fraser CM, Tettelin H, White O, Angiuoli SV, Mahurkar A, Fricke WF.

BMC Genomics. 2017 Apr 27;18(1):332. doi: 10.1186/s12864-017-3717-3.

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