Academic Journal
Addressing uncertainty in genome-scale metabolic model reconstruction and analysis
| العنوان: | Addressing uncertainty in genome-scale metabolic model reconstruction and analysis |
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| المؤلفون: | Bernstein, David, Sulheim, Snorre, Almaas, Eivind, Segrè, Daniel |
| المصدر: | 1-22 ; 22 ; Genome Biology ; 64 |
| بيانات النشر: | BMC/Springer Nature |
| سنة النشر: | 2021 |
| المجموعة: | SINTEF: Open Archive |
| الوصف: | The reconstruction and analysis of genome-scale metabolic models constitutes a powerful systems biology approach, with applications ranging from basic understanding of genotype-phenotype mapping to solving biomedical and environmental problems. However, the biological insight obtained from these models is limited by multiple heterogeneous sources of uncertainty, which are often difficult to quantify. Here we review the major sources of uncertainty and survey existing approaches developed for representing and addressing them. A unified formal characterization of these uncertainties through probabilistic approaches and ensemble modeling will facilitate convergence towards consistent reconstruction pipelines, improved data integration algorithms, and more accurate assessment of predictive capacity. ; publishedVersion |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1465-6906 |
| Relation: | Norges forskningsråd: 248885; Genome Biology. 2021, 22 1-22.; urn:issn:1465-6906; https://hdl.handle.net/11250/2768010; https://doi.org/10.1186/s13059-021-02289-z; cristin:1896455 |
| DOI: | 10.1186/s13059-021-02289-z |
| الاتاحة: | https://hdl.handle.net/11250/2768010 https://doi.org/10.1186/s13059-021-02289-z |
| Rights: | Navngivelse 4.0 Internasjonal ; http://creativecommons.org/licenses/by/4.0/deed.no ; © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
| رقم الانضمام: | edsbas.AE2E6FF1 |
| قاعدة البيانات: | BASE |
| تدمد: | 14656906 |
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| DOI: | 10.1186/s13059-021-02289-z |