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Items: 1 to 20 of 237

1.

Accelerating epistasis analysis in human genetics with consumer graphics hardware.

Sinnott-Armstrong NA, Greene CS, Cancare F, Moore JH.

BMC Res Notes. 2009 Jul 24;2:149. doi: 10.1186/1756-0500-2-149.

2.

Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS.

Greene CS, Sinnott-Armstrong NA, Himmelstein DS, Park PJ, Moore JH, Harris BT.

Bioinformatics. 2010 Mar 1;26(5):694-5. doi: 10.1093/bioinformatics/btq009. Epub 2010 Jan 16.

3.

Exploiting graphics processing units for computational biology and bioinformatics.

Payne JL, Sinnott-Armstrong NA, Moore JH.

Interdiscip Sci. 2010 Sep;2(3):213-20. doi: 10.1007/s12539-010-0002-4. Epub 2010 Jul 25.

4.

Multi-GPU implementation of a VMAT treatment plan optimization algorithm.

Tian Z, Peng F, Folkerts M, Tan J, Jia X, Jiang SB.

Med Phys. 2015 Jun;42(6):2841-52. doi: 10.1118/1.4919742.

PMID:
26127037
5.

NMF-mGPU: non-negative matrix factorization on multi-GPU systems.

Mejía-Roa E, Tabas-Madrid D, Setoain J, García C, Tirado F, Pascual-Montano A.

BMC Bioinformatics. 2015 Feb 13;16:43. doi: 10.1186/s12859-015-0485-4.

6.

Cost-effective GPU-grid for genome-wide epistasis calculations.

Pütz B, Kam-Thong T, Karbalai N, Altmann A, Müller-Myhsok B.

Methods Inf Med. 2013;52(1):91-5. doi: 10.3414/ME11-02-0049. Epub 2012 Dec 7.

PMID:
23223640
7.

Best bang for your buck: GPU nodes for GROMACS biomolecular simulations.

Kutzner C, Páll S, Fechner M, Esztermann A, de Groot BL, Grubmüller H.

J Comput Chem. 2015 Oct 5;36(26):1990-2008. doi: 10.1002/jcc.24030. Epub 2015 Aug 4.

8.

High performance computing for deformable image registration: towards a new paradigm in adaptive radiotherapy.

Samant SS, Xia J, Muyan-Ozcelik P, Owens JD.

Med Phys. 2008 Aug;35(8):3546-53.

PMID:
18777915
9.

Multi-GPU Jacobian accelerated computing for soft-field tomography.

Borsic A, Attardo EA, Halter RJ.

Physiol Meas. 2012 Oct;33(10):1703-15. Epub 2012 Sep 26.

10.

Grid-based algorithm to search critical points, in the electron density, accelerated by graphics processing units.

Hernández-Esparza R, Mejía-Chica SM, Zapata-Escobar AD, Guevara-García A, Martínez-Melchor A, Hernández-Pérez JM, Vargas R, Garza J.

J Comput Chem. 2014 Dec 5;35(31):2272-8. doi: 10.1002/jcc.23752.

PMID:
25345784
11.

CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment.

Manavski SA, Valle G.

BMC Bioinformatics. 2008 Mar 26;9 Suppl 2:S10. doi: 10.1186/1471-2105-9-S2-S10.

12.

Fast on-site Monte Carlo tool for dose calculations in CT applications.

Chen W, Kolditz D, Beister M, Bohle R, Kalender WA.

Med Phys. 2012 Jun;39(6):2985-96. doi: 10.1118/1.4711748.

PMID:
22755683
13.

EpiGPU: exhaustive pairwise epistasis scans parallelized on consumer level graphics cards.

Hemani G, Theocharidis A, Wei W, Haley C.

Bioinformatics. 2011 Jun 1;27(11):1462-5. doi: 10.1093/bioinformatics/btr172. Epub 2011 Apr 6.

PMID:
21471009
14.

Comparing performance of many-core CPUs and GPUs for static and motion compensated reconstruction of C-arm CT data.

Hofmann HG, Keck B, Rohkohl C, Hornegger J.

Med Phys. 2011 Jan;38(1):468-73.

PMID:
21361215
15.

Discovering epistasis in large scale genetic association studies by exploiting graphics cards.

Chen GK, Guo Y.

Front Genet. 2013 Dec 3;4:266. doi: 10.3389/fgene.2013.00266. Review.

16.

GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs.

Arefin AS, Riveros C, Berretta R, Moscato P.

PLoS One. 2012;7(8):e44000. doi: 10.1371/journal.pone.0044000. Epub 2012 Aug 28.

17.
18.

Efficient methods for implementation of multi-level nonrigid mass-preserving image registration on GPUs and multi-threaded CPUs.

Ellingwood ND, Yin Y, Smith M, Lin CL.

Comput Methods Programs Biomed. 2016 Apr;127:290-300. doi: 10.1016/j.cmpb.2015.12.018. Epub 2016 Jan 6.

19.

Large-scale neural circuit mapping data analysis accelerated with the graphical processing unit (GPU).

Shi Y, Veidenbaum AV, Nicolau A, Xu X.

J Neurosci Methods. 2015 Jan 15;239:1-10. doi: 10.1016/j.jneumeth.2014.09.022. Epub 2014 Sep 30.

20.

GPU-Acceleration of Sequence Homology Searches with Database Subsequence Clustering.

Suzuki S, Kakuta M, Ishida T, Akiyama Y.

PLoS One. 2016 Aug 2;11(8):e0157338. doi: 10.1371/journal.pone.0157338. eCollection 2016.

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