File:Meta-omics data based biogeochemical modeling.jpg
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Summary[edit]
DescriptionMeta-omics data based biogeochemical modeling.jpg |
English: Meta-omics data based biogeochemical modeling.<be />
A schematic conceptual framework for global biogeochemical modeling from environmental, imaging, and meta-omics data (Sunagawa et al., 2015). A semi-automatic computational pipeline is schematized for combining biomarkers with biogeochemical data (Guidi et al., 2016) that can be incorporated into classic biogeochemical models (Guyennon et al., 2015) for creating a next generation of biogeochemical trait-based meta-omics models by considering their respective traits. Such novel meta-omics-enabled approaches aim to improve the monitoring and prediction of ocean processes while respecting the complexity of the planktonic system. For more information, see Louca et al. (2016) and Coles et al. (2017). The biogeochemical model is taken from [1]
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Date | |
Source |
https://www.frontiersin.org/articles/10.3389/fmars.2019.00623/full doi:10.3389/fmars.2019.00623 |
Author | Antonietta Capotondi, Michael Jacox, Chris Bowler, Maria Kavanaugh, Patrick Lehodey and 26 others. Based on [2] |
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current | 09:53, 13 August 2020 | 3,094 × 3,884 (1.75 MB) | Epipelagic (talk | contribs) | lighten omic model | |
05:21, 16 July 2020 | 3,094 × 3,884 (783 KB) | Epipelagic (talk | contribs) | Uploaded a work by Antonietta Capotondi, Michael Jacox, Chris Bowler, Maria Kavanaugh, Patrick Lehodey and 26 others. Based on [https://www.biogeosciences.net/12/7025/2015/] from https://www.frontiersin.org/articles/10.3389/fmars.2019.00623/full {{doi|10.3389/fmars.2019.00623}} with UploadWizard |
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Horizontal resolution | 464 dpi |
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Vertical resolution | 464 dpi |
Date and time of digitizing | 18:28, 17 September 2019 |