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Single-cell omics a...
Single-cell omics analysis with genome-scale metabolic modeling
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- Chen, Yu, 1990 (författare)
- Shenzhen Institute of Advanced Technology
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- Gustafsson, Johan, 1976 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Göteborgs universitet,University of Gothenburg,Broad Institute
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- Yang, Jingyu (författare)
- Shenzhen Institute of Advanced Technology
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- Nielsen, Jens B, 1962 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,BioInnovation Institute (BII)
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- Kerkhoven, Eduard, 1985 (författare)
- Novo Nordisk Fonden,Novo Nordisk Foundation,Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: Current Opinion in Biotechnology. - 0958-1669 .- 1879-0429. ; 86
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://research.cha...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- Single-cell technologies have been widely used in biological studies and generated a plethora of single-cell data to be interpreted. Due to the inclusion of the priori metabolic network knowledge as well as gene–protein–reaction associations, genome-scale metabolic models (GEMs) have been a powerful tool to integrate and thereby interpret various omics data mostly from bulk samples. Here, we first review two common ways to leverage bulk omics data with GEMs and then discuss advances on integrative analysis of single-cell omics data with GEMs. We end by presenting our views on current challenges and perspectives in this field.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
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