Literature DB >> 20161021

Optimizing Data Intensive GPGPU Computations for DNA Sequence Alignment.

Cole Trapnell1, Michael C Schatz.   

Abstract

MUMmerGPU uses highly-parallel commodity graphics processing units (GPU) to accelerate the data-intensive computation of aligning next generation DNA sequence data to a reference sequence for use in diverse applications such as disease genotyping and personal genomics. MUMmerGPU 2.0 features a new stackless depth-first-search print kernel and is 13× faster than the serial CPU version of the alignment code and nearly 4× faster in total computation time than MUMmerGPU 1.0. We exhaustively examined 128 GPU data layout configurations to improve register footprint and running time and conclude higher occupancy has greater impact than reduced latency. MUMmerGPU is available open-source at http://mummergpu.sourceforge.net.

Entities:  

Year:  2009        PMID: 20161021      PMCID: PMC2749273          DOI: 10.1016/j.parco.2009.05.002

Source DB:  PubMed          Journal:  Parallel Comput        ISSN: 0167-8191            Impact factor:   0.986


  8 in total

1.  Fast algorithms for large-scale genome alignment and comparison.

Authors:  Arthur L Delcher; Adam Phillippy; Jane Carlton; Steven L Salzberg
Journal:  Nucleic Acids Res       Date:  2002-06-01       Impact factor: 16.971

2.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

3.  Accelerating molecular modeling applications with graphics processors.

Authors:  John E Stone; James C Phillips; Peter L Freddolino; David J Hardy; Leonardo G Trabuco; Klaus Schulten
Journal:  J Comput Chem       Date:  2007-12       Impact factor: 3.376

4.  Next-generation sequencing outpaces expectations.

Authors:  Catherine Shaffer
Journal:  Nat Biotechnol       Date:  2007-02-01       Impact factor: 54.908

5.  The year of sequencing.

Authors:  Kelly Rae Chi
Journal:  Nat Methods       Date:  2008-01       Impact factor: 28.547

6.  A whole-genome assembly of Drosophila.

Authors:  E W Myers; G G Sutton; A L Delcher; I M Dew; D P Fasulo; M J Flanigan; S A Kravitz; C M Mobarry; K H Reinert; K A Remington; E L Anson; R A Bolanos; H H Chou; C M Jordan; A L Halpern; S Lonardi; E M Beasley; R C Brandon; L Chen; P J Dunn; Z Lai; Y Liang; D R Nusskern; M Zhan; Q Zhang; X Zheng; G M Rubin; M D Adams; J C Venter
Journal:  Science       Date:  2000-03-24       Impact factor: 47.728

7.  Alignment of whole genomes.

Authors:  A L Delcher; S Kasif; R D Fleischmann; J Peterson; O White; S L Salzberg
Journal:  Nucleic Acids Res       Date:  1999-06-01       Impact factor: 16.971

8.  High-throughput sequence alignment using Graphics Processing Units.

Authors:  Michael C Schatz; Cole Trapnell; Arthur L Delcher; Amitabh Varshney
Journal:  BMC Bioinformatics       Date:  2007-12-10       Impact factor: 3.169

  8 in total
  16 in total

1.  BarraCUDA - a fast short read sequence aligner using graphics processing units.

Authors:  Petr Klus; Simon Lam; Dag Lyberg; Ming Sin Cheung; Graham Pullan; Ian McFarlane; Giles Sh Yeo; Brian Yh Lam
Journal:  BMC Res Notes       Date:  2012-01-13

2.  A cellular model of amyloid precursor protein processing and amyloid-β peptide production.

Authors:  Mimi P Macias; Amanda M Gonzales; Ashley L Siniard; Aaron W Walker; Jason J Corneveaux; Matthew J Huentelman; Marwan N Sabbagh; Boris Decourt
Journal:  J Neurosci Methods       Date:  2013-12-12       Impact factor: 2.390

3.  Transcriptome and in Vitro Differentiation Profile of Human Embryonic Stem Cell Derived NKX2.1-Positive Neural Progenitors.

Authors:  Christopher Y Chen; Alex Plocik; Nickesha C Anderson; Daniel Moakley; Trinithas Boyi; Carolyn Dundes; Chelsea Lassiter; Brenton R Graveley; Laura Grabel
Journal:  Stem Cell Rev Rep       Date:  2016-12       Impact factor: 5.739

4.  GPR56 contributes to the development of acute myeloid leukemia in mice.

Authors:  D Daria; N Kirsten; A Muranyi; M Mulaw; S Ihme; A Kechter; M Hollnagel; L Bullinger; K Döhner; H Döhner; M Feuring-Buske; C Buske
Journal:  Leukemia       Date:  2016-04-11       Impact factor: 11.528

5.  Characterization of the transcriptomes of Atoh1-induced hair cells in the mouse cochlea.

Authors:  Li-Man Liu; Li-Ping Zhao; Ling-Jie Wu; Luo Guo; Wen-Yan Li; Yan Chen
Journal:  Am J Stem Cells       Date:  2020-02-15

6.  Protein neddylation as a therapeutic target in pulmonary and extrapulmonary small cell carcinomas.

Authors:  Justin P Norton; Arnaud Augert; Emily Eastwood; Ryan Basom; Charles M Rudin; David MacPherson
Journal:  Genes Dev       Date:  2021-05-20       Impact factor: 11.361

7.  Fast and accurate protein substructure searching with simulated annealing and GPUs.

Authors:  Alex D Stivala; Peter J Stuckey; Anthony I Wirth
Journal:  BMC Bioinformatics       Date:  2010-09-03       Impact factor: 3.169

8.  A practical comparison of de novo genome assembly software tools for next-generation sequencing technologies.

Authors:  Wenyu Zhang; Jiajia Chen; Yang Yang; Yifei Tang; Jing Shang; Bairong Shen
Journal:  PLoS One       Date:  2011-03-14       Impact factor: 3.240

9.  Protein-ligand binding region prediction (PLB-SAVE) based on geometric features and CUDA acceleration.

Authors:  Ying-Tsang Lo; Hsin-Wei Wang; Tun-Wen Pai; Wen-Shoung Tzou; Hui-Huang Hsu; Hao-Teng Chang
Journal:  BMC Bioinformatics       Date:  2013-03-08       Impact factor: 3.169

10.  Increased whole blood FFA2/GPR43 receptor expression is associated with increased 30-day survival in patients with sepsis.

Authors:  Zyad J Carr; Andry Van De Louw; Graham Fehr; Jialiu D Li; Allen Kunselman; Victor Ruiz-Velasco
Journal:  BMC Res Notes       Date:  2018-01-16
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