A call for virtual experiments: Accelerating the scientific process
Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Cooper, Jonathan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
8 |
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| Übergeordnetes Werk: |
Enthalten in: A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital - Ma, Luping ELSEVIER, 2022, an international review journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:117 ; year:2015 ; number:1 ; pages:99-106 ; extent:8 |
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10.1016/j.pbiomolbio.2014.10.001 |
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ELV019022719 |
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| 520 | |a Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. | ||
| 520 | |a Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. | ||
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10.1016/j.pbiomolbio.2014.10.001 doi GBVA2015023000030.pica (DE-627)ELV019022719 (ELSEVIER)S0079-6107(14)00182-5 DE-627 ger DE-627 rakwb eng 570 570 DE-600 690 VZ 56.00 bkl Cooper, Jonathan verfasserin aut A call for virtual experiments: Accelerating the scientific process 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Functional curation Elsevier Model comparison Elsevier Virtual experiments Elsevier Computational physiology Elsevier Reproducible research Elsevier Vik, Jon Olav oth Waltemath, Dagmar oth Enthalten in Elsevier Science Ma, Luping ELSEVIER A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital 2022 an international review journal Amsterdam [u.a.] (DE-627)ELV007634501 volume:117 year:2015 number:1 pages:99-106 extent:8 https://doi.org/10.1016/j.pbiomolbio.2014.10.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.00 Bauwesen: Allgemeines VZ AR 117 2015 1 99-106 8 045F 570 |
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10.1016/j.pbiomolbio.2014.10.001 doi GBVA2015023000030.pica (DE-627)ELV019022719 (ELSEVIER)S0079-6107(14)00182-5 DE-627 ger DE-627 rakwb eng 570 570 DE-600 690 VZ 56.00 bkl Cooper, Jonathan verfasserin aut A call for virtual experiments: Accelerating the scientific process 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Functional curation Elsevier Model comparison Elsevier Virtual experiments Elsevier Computational physiology Elsevier Reproducible research Elsevier Vik, Jon Olav oth Waltemath, Dagmar oth Enthalten in Elsevier Science Ma, Luping ELSEVIER A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital 2022 an international review journal Amsterdam [u.a.] (DE-627)ELV007634501 volume:117 year:2015 number:1 pages:99-106 extent:8 https://doi.org/10.1016/j.pbiomolbio.2014.10.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.00 Bauwesen: Allgemeines VZ AR 117 2015 1 99-106 8 045F 570 |
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10.1016/j.pbiomolbio.2014.10.001 doi GBVA2015023000030.pica (DE-627)ELV019022719 (ELSEVIER)S0079-6107(14)00182-5 DE-627 ger DE-627 rakwb eng 570 570 DE-600 690 VZ 56.00 bkl Cooper, Jonathan verfasserin aut A call for virtual experiments: Accelerating the scientific process 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Functional curation Elsevier Model comparison Elsevier Virtual experiments Elsevier Computational physiology Elsevier Reproducible research Elsevier Vik, Jon Olav oth Waltemath, Dagmar oth Enthalten in Elsevier Science Ma, Luping ELSEVIER A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital 2022 an international review journal Amsterdam [u.a.] (DE-627)ELV007634501 volume:117 year:2015 number:1 pages:99-106 extent:8 https://doi.org/10.1016/j.pbiomolbio.2014.10.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.00 Bauwesen: Allgemeines VZ AR 117 2015 1 99-106 8 045F 570 |
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10.1016/j.pbiomolbio.2014.10.001 doi GBVA2015023000030.pica (DE-627)ELV019022719 (ELSEVIER)S0079-6107(14)00182-5 DE-627 ger DE-627 rakwb eng 570 570 DE-600 690 VZ 56.00 bkl Cooper, Jonathan verfasserin aut A call for virtual experiments: Accelerating the scientific process 2015transfer abstract 8 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. Functional curation Elsevier Model comparison Elsevier Virtual experiments Elsevier Computational physiology Elsevier Reproducible research Elsevier Vik, Jon Olav oth Waltemath, Dagmar oth Enthalten in Elsevier Science Ma, Luping ELSEVIER A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital 2022 an international review journal Amsterdam [u.a.] (DE-627)ELV007634501 volume:117 year:2015 number:1 pages:99-106 extent:8 https://doi.org/10.1016/j.pbiomolbio.2014.10.001 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 56.00 Bauwesen: Allgemeines VZ AR 117 2015 1 99-106 8 045F 570 |
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A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital |
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A call for virtual experiments: Accelerating the scientific process |
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A multi-zone spatial flow impact factor model for evaluating and layout optimization of infection risk in a Fangcang shelter hospital |
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a call for virtual experiments: accelerating the scientific process |
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Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. |
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Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. |
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Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology. |
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