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Standards Barriers to Bioinformatics Research

Monash University
J. I. E. Fernando (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/03/5a137336427b3&rft.title=Standards Barriers to Bioinformatics Research&rft.identifier=https://doi.org/10.4225/03/5a137336427b3&rft.publisher=Monash University&rft.description=Although new and emerging information technologies (IT) can enable the analysis of rapidly expanding bioinformatics data, no standards exists. Standards validate a technology or process against a compilation of consolidated best practice specifications. Standards development represents an effective way to retrieve textual evidence, work collaboratively, and integrate bioinformatics with global e-health initiatives. Thus, standards barriers can impede otherwise productive research efforts. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.&rft.creator=J. I. E. Fernando&rft.date=2017&rft_rights=In Copyright&rft_subject=Bioinformatics -- Congresses&rft_subject=Computational biology -- Congresses&rft_subject=Computer vision in medicine -- Congresses&rft_subject=Computational biology -- Methods -- Congresses&rft_subject=Pattern recognition, automated -- Methods -- Congresses&rft_subject=Bioinformatics&rft_subject=Bio-ontology&rft_subject=Mashup&rft_subject=Standards&rft_subject=E-health&rft_subject=2008&rft_subject=conference paper&rft_subject=1959.1/63737&rft_subject=monash:7875&rft_subject=Pattern Recognition and Data Mining&rft_subject=Bioinformatics Software&rft.type=dataset&rft.language=English Access the data
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Although new and emerging information technologies (IT) can enable the analysis of rapidly expanding bioinformatics data, no standards exists. Standards validate a technology or process against a compilation of consolidated best practice specifications. Standards development represents an effective way to retrieve textual evidence, work collaboratively, and integrate bioinformatics with global e-health initiatives. Thus, standards barriers can impede otherwise productive research efforts. PRIB 2008 proceedings found at: http://dx.doi.org/10.1007/978-3-540-88436-1 Contributors: Monash University. Faculty of Information Technology. Gippsland School of Information Technology ; Chetty, Madhu ; Ahmad, Shandar ; Ngom, Alioune ; Teng, Shyh Wei ; Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB) (3rd : 2008 : Melbourne, Australia) ; Coverage: Rights: Copyright by Third IAPR International Conference on Pattern Recognition in Bioinformatics. All rights reserved.

Issued: 2017-11-21

Created: 2017-11-21

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1959.1/63737 | 2008 | Bio-ontology | Bioinformatics | Bioinformatics -- Congresses | Bioinformatics Software | Computational biology -- Congresses | Computational biology -- Methods -- Congresses | Computer vision in medicine -- Congresses | E-health | Mashup | Pattern Recognition and Data Mining | Pattern recognition, automated -- Methods -- Congresses | Standards | conference paper | monash:7875 |

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