Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Muriel Mewissen"'
Publikováno v:
Insights: The UKSG Journal, Vol 28, Iss 2, Pp 55-61 (2015)
As the scholarly communication system evolves to become natively web based, citations now commonly include hyperlinks to content that is issued on the web. The content at the end of those hyperlinks is subject to what has been termed ‘reference rot
Externí odkaz:
https://doaj.org/article/7f9a5a9862624548abfc89fe1d4708a5
Autor:
Lawrence Mitchell, Thorsten Forster, Gary A. McGilvary, Michal Piotrowski, Terence Sloan, Jon Hill, Peter Ghazal, Muriel Mewissen, Ashley Lloyd
Publikováno v:
Piotrowski, M, Mcgilvary, G, Sloan, T M, Mewissen, M, Lloyd, A, Forster, T, Mitchell, L, Ghazal, P & Hill, J 2013, ' Exploiting Parallel R in the Cloud with SPRINT ', Methods of Information in Medicine, vol. 52, no. 1, pp. 80-90 . https://doi.org/10.3414/ME11-02-0039
SummaryBackground: Advances in DNA Microarray devices and next-generation massively parallel DNA sequencing platforms have led to an exponential growth in data availability but the arising opportunities require adequate computing resources. High Perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0659241410ef3050ac7ceee08b84e7ae
https://doi.org/10.3414/me11-02-0039
https://doi.org/10.3414/me11-02-0039
Autor:
Terence Sloan, Arthur Trew, Peter Ghazal, Thorsten Forster, Muriel Mewissen, Michal Piotrowski, Lawrence Mitchell
Publikováno v:
Mitchell, L, Sloan, T M, Mewissen, M, Ghazal, P, Forster, T, Piotrowski, M & Trew, A 2014, ' Parallel classification and feature selection in microarray data using SPRINT ', Concurrency and Computation: Practice and Experience, vol. 26, no. 4, pp. 854-865 . https://doi.org/10.1002/cpe.2928
Concurrency and computation : practice and experience, 2014, Vol.26(4), pp.854-865 [Peer Reviewed Journal]
Concurrency and computation : practice and experience, 2014, Vol.26(4), pp.854-865 [Peer Reviewed Journal]
The statistical language R is favoured by many biostatisticians for processing microarray data. In recent times, the quantity of data that can be obtained in experiments has risen significantly, making previously fast analyses time consuming or even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dc5c023e40ebe06a37fbcc1fe5a7fb5
https://doi.org/10.1002/cpe.2928
https://doi.org/10.1002/cpe.2928
Autor:
Thorsten Forster, Muriel Mewissen, Peter Ghazal, Savvas Petrou, Arthur Trew, Terence Sloan, Jon Hill, Michal Piotrowski, Bartosz Dobrzelecki
Publikováno v:
Concurrency and Computation
Petrou, S, Sloan, T, Mewissen, M, Forster, T, Piotrowski, M, Dobrzelecki, B, Ghazal, P, Trew, A & Hill, J 2011, ' Optimization of a parallel permutation testing function for the SPRINT R package ', Concurrency and Computation: Practice and Experience, vol. 23, no. 17, pp. 2258-2268 . https://doi.org/10.1002/cpe.1787
Petrou, S, Sloan, T, Mewissen, M, Forster, T, Piotrowski, M, Dobrzelecki, B, Ghazal, P, Trew, A & Hill, J 2011, ' Optimization of a parallel permutation testing function for the SPRINT R package ', Concurrency and Computation: Practice and Experience, vol. 23, no. 17, pp. 2258-2268 . https://doi.org/10.1002/cpe.1787
The statistical language R and its Bioconductor package are favoured by many biostatisticians for processing microarray data. The amount of data produced by some analyses has reached the limits of many common bioinformatics computing infrastructures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14e23431fc32d54a335076e5de5d2706
https://doi.org/10.1002/cpe.1787
https://doi.org/10.1002/cpe.1787
Autor:
Thorsten Forster, Peter Ghazal, Lawrence Mitchell, Michal Piotrowski, Muriel Mewissen, Terence Sloan, Arthur Trew
Publikováno v:
Proceedings of the second international workshop on Emerging computational methods for the life sciences.
The statistical language R is favoured by many biostaticians for processing microarray data. In recent times, the quantity of data that can be obtained in experiments has risen significantly, making previously fast analyses time consuming, or even no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bbe98f06e25c8bafba445e8e2575768
https://doi.org/10.1145/1996023.1996024
https://doi.org/10.1145/1996023.1996024
Autor:
Savvas Petrou, Michal Piotrowski, Bartosz Dobrzelecki, Muriel Mewissen, Terence Sloan, Thorsten Forster
Publikováno v:
Petrou, S, Sloan, T, Mewissen, M, Forster, T, Piotrowski, M & Dobrzelecki, B 2010, ' Optimization of a parallel permutation testing function for the SPRINT R package ', Paper presented at 19th ACM International Symposium on High Performance Distributed Computing, Chicago, United States, 20/06/10-25/06/10 pp. 516-521 . https://doi.org/10.1145/1851476.1851551
HPDC
HPDC
The statistical language R and Bioconductor package arefavoured by many biostatisticians for processing microarraydata. The amount of data produced by these analyses hasreached the limits of many common bioinformatics computinginfrastructures. High P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5512d8efdbf2ccabf5f5eedf30fe53d3
https://www.pure.ed.ac.uk/ws/files/13380099/sprint_hpdc_2010.pdf
https://www.pure.ed.ac.uk/ws/files/13380099/sprint_hpdc_2010.pdf
Autor:
Muriel Mewissen, Peter Ghazal, Florian Scharinger, Matthew Hambley, Terence Sloan, Thorsten Forster, Arthur Trew, Jon Hill
Publikováno v:
BMC Bioinformatics, Vol 9, Iss 1, p 558 (2008)
Hill, J, Hambley, M, Forster, T, Mewissen, M, Sloan, T, Scharinger, F, Trew, A & Ghazal, P 2008, ' SPRINT: a new parallel framework for R ', BMC Bioinformatics, vol. 9, pp. 558 . https://doi.org/10.1186/1471-2105-9-558
BMC Bioinformatics
Hill, J, Hambley, M, Forster, T, Mewissen, M, Sloan, T, Scharinger, F, Trew, A & Ghazal, P 2008, ' SPRINT: a new parallel framework for R ', BMC Bioinformatics, vol. 9, pp. 558 . https://doi.org/10.1186/1471-2105-9-558
BMC Bioinformatics
Background Microarray analysis allows the simultaneous measurement of thousands to millions of genes or sequences across tens to thousands of different samples. The analysis of the resulting data tests the limits of existing bioinformatics computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a69f4125055eb61839c1a192ed15e25e
http://www.biomedcentral.com/1471-2105/9/558
http://www.biomedcentral.com/1471-2105/9/558
Autor:
Stuart L. Moodie, R. M. Baxter, J. S. Beattie, Graeme R. Grimes, Peter Ghazal, T. Q. Wen, Muriel Mewissen
Publikováno v:
Grimes, G R, Wen, T Q, Mewissen, M, Baxter, R M, Moodie, S, Beattie, J S & Ghazal, P 2006, ' PDQ Wizard: automated prioritization and characterization of gene and protein lists using biomedical literature ', Bioinformatics, vol. 22, no. 16, pp. 2055-7 . https://doi.org/10.1093/bioinformatics/btl342
Summary: PDQ Wizard automates the process of interrogating biomedical references using large lists of genes, proteins or free text. Using the principle of linkage through co-citation biologists can mine PubMed with these proteins or genes to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e79388c3ef79ce4d6826eb085b01c3f
https://www.pure.ed.ac.uk/ws/files/8206971/PDQ_Wizard_automated_prioritization_and_characterization_of_gene_and_protein_lists_using_biomedical_literature.pdf
https://www.pure.ed.ac.uk/ws/files/8206971/PDQ_Wizard_automated_prioritization_and_characterization_of_gene_and_protein_lists_using_biomedical_literature.pdf
Autor:
Paul Dickinson, Kevin A. Robertson, Marie Craigon, Thorsten Forster, Stuart L. Moodie, Garwin Sing, Muriel Mewissen, Andrew D Livingston, Alan J. Ross, Peter Ghazal, J. S. Beattie, Graeme R. Grimes
Publikováno v:
Grimes, G R, Moodie, S, Beattie, J S, Craigon, M, Dickinson, P, Forster, T, Livingston, A D, Mewissen, M, Robertson, K A, Ross, A J, Sing, G & Ghazal, P 2005, ' GPX-Macrophage Expression Atlas: a database for expression profiles of macrophages challenged with a variety of pro-inflammatory, anti-inflammatory, benign and pathogen insults ', BMC Genomics, vol. 6, no. 178, pp. 1-8 . https://doi.org/10.1186/1471-2164-6-178
BMC Genomics
BMC Genomics, Vol 6, Iss 1, p 178 (2005)
BMC Genomics
BMC Genomics, Vol 6, Iss 1, p 178 (2005)
Background Macrophages play an integral role in the host immune system, bridging innate and adaptive immunity. As such, they are finely attuned to extracellular and intracellular stimuli and respond by rapidly initiating multiple signalling cascades
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1047fa84d65952438694d385e94c854f
https://www.pure.ed.ac.uk/ws/files/1405408/Grimes_et_at_2005.pdf
https://www.pure.ed.ac.uk/ws/files/1405408/Grimes_et_at_2005.pdf
Autor:
Simon J. Gaskell, Zhikang Yin, Kathleen M. Carroll, Julie Howard, Keith F. Chater, Chris F. Taylor, Sarah R. Hart, Alistair J. P. Brown, Caroline A. Evans, Norman Morrison, Lena Hansson, Norman W. Paton, Stephen G. Oliver, David Stead, Kathryn S. Lilley, Andy Brass, Muriel Mewissen, Thomas McLaughlin, Peter Ghazal, Kevin Garwood, Andrew Hesketh, Anthony D. Whetton, Chris Garwood, Scott Joens, Simon J. Hubbard
Publikováno v:
BMC Genomics, Vol 5, Iss 1, p 68 (2004)
Garwood, K, McLaughlin, T, Garwood, C, Joens, S, Morrison, N, Taylor, C F, Carroll, K, Evans, C, Whetton, A D, Hart, S, Stead, D, Yin, Z, Brown, A J P, Hesketh, A, Chater, K, Hansson, L, Mewissen, M, Ghazal, P, Howard, J, Lilley, K S, Gaskell, S J, Brass, A, Hubbard, S J, Oliver, S G & Paton, N W 2004, ' PEDRo: a database for storing, searching and disseminating experimental proteomics data ', BMC Genomics, vol. 5, pp. 68 . https://doi.org/10.1186/1471-2164-5-68
BMC Genomics
Garwood, K, McLaughlin, T, Garwood, C, Joens, S, Morrison, N, Taylor, C F, Carroll, K, Evans, C, Whetton, A D, Hart, S, Stead, D, Yin, Z, Brown, A J P, Hesketh, A, Chater, K, Hansson, L, Mewissen, M, Ghazal, P, Howard, J, Lilley, K S, Gaskell, S J, Brass, A, Hubbard, S J, Oliver, S G & Paton, N W 2004, ' PEDRo: a database for storing, searching and disseminating experimental proteomics data ', BMC Genomics, vol. 5, pp. 68 . https://doi.org/10.1186/1471-2164-5-68
BMC Genomics
Background Proteomics is rapidly evolving into a high-throughput technology, in which substantial and systematic studies are conducted on samples from a wide range of physiological, developmental, or pathological conditions. Reference maps from 2D ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::156847203e836c0b90e4e1e3c475f6df
https://doi.org/10.1186/1471-2164-5-68
https://doi.org/10.1186/1471-2164-5-68