alyamahmoud/coinfection_modeling: code used for analysis and visualization of the variation in gene essentiality and metabolic capabilities between single and co-infection scenarios for V. cholera
dc.contributor.author | Abdel-Haleem, Alyaa M. | |
dc.date.accessioned | 2021-04-19T10:22:19Z | |
dc.date.available | 2021-04-19T10:22:19Z | |
dc.date.issued | 2020-03-16 | |
dc.identifier.uri | http://hdl.handle.net/10754/668847 | |
dc.description.abstract | code used for analysis and visualization of the variation in gene essentiality and metabolic capabilities between single and co-infection scenarios for V. cholera | |
dc.publisher | Github | |
dc.relation.url | https://github.com/alyamahmoud/coinfection_modeling | |
dc.title | alyamahmoud/coinfection_modeling: code used for analysis and visualization of the variation in gene essentiality and metabolic capabilities between single and co-infection scenarios for V. cholera | |
dc.type | Software | |
dc.contributor.department | Biological and Environmental Science and Engineering (BESE) Division | |
dc.contributor.department | Bioscience Program | |
kaust.person | Abdel-Haleem, Alyaa M. | |
kaust.person | Abdel-Haleem, Alyaa M. | |
dc.relation.issupplementto | DOI:10.1101/2020.06.16.156158 | |
display.relations | <b>Is Supplement To:</b><br/> <ul><li><i>[Preprint]</i> <br/> Abdel-Haleem, A. M., Ravikumar, V., Ji, B., Mineta, K., Gao, X., Nielsen, J., … Mijakovic, I. (2020). Integrated metabolic modeling, culturing and transcriptomics explains enhanced virulence of V. cholerae during co-infection with ETEC. doi:10.1101/2020.06.16.156158. DOI: <a href="https://doi.org/10.1101/2020.06.16.156158" >10.1101/2020.06.16.156158</a> Handle: <a href="http://hdl.handle.net/10754/668745" >10754/668745</a></a></li></ul> | |
dc.identifier.github | alyamahmoud/coinfection_modeling |
This item appears in the following Collection(s)
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Biological and Environmental Science and Engineering (BESE) Division
For more information visit: https://bese.kaust.edu.sa/ -
Bioscience Program
For more information visit: https://bese.kaust.edu.sa/study/Pages/Bioscience.aspx -
Software