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Nishu Goyal - Publications

Affiliations: 
2011-2016 Chemical and Biological Engineering National Univerity of Singapore 
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Kumar Sharma A, Kumar Ghodke P, Goyal N, Nethaji S, Chen WH. Machine learning technology in biohydrogen production from agriculture waste: Recent advances and future perspectives. Bioresource Technology. 364: 128076. PMID 36216286 DOI: 10.1016/j.biortech.2022.128076  0.309
2020 Vo CH, Goyal N, Karimi IA, Kraft M. First Observation of an Acetate Switch in a Methanogenic Autotroph ( S2). Microbiology Insights. 13: 1178636120945300. PMID 32843840 DOI: 10.1177/1178636120945300  0.344
2016 Goyal N, Zhou Z, Karimi IA. Metabolic processes of Methanococcus maripaludis and potential applications. Microbial Cell Factories. 15: 107. PMID 27286964 DOI: 10.1186/S12934-016-0500-0  0.571
2015 Goyal N, Padhiary M, Karimi IA, Zhou Z. Flux measurements and maintenance energy for carbon dioxide utilization by Methanococcus maripaludis. Microbial Cell Factories. 14: 146. PMID 26376868 DOI: 10.1186/S12934-015-0336-Z  0.585
2015 Goyal N, Karimi IA, Zhou Z. Experimental Validation Of in silico Flux Predictions from A Genome-Scale Model (iMM518) For Carbon Dioxide Utilization by M. maripaludis Computer-Aided Chemical Engineering. 37: 2153-2158. DOI: 10.1016/B978-0-444-63576-1.50053-4  0.6
2014 Goyal N, Widiastuti H, Karimi IA, Zhou Z. A genome-scale metabolic model of Methanococcus maripaludis S2 for CO2 capture and conversion to methane. Molecular Biosystems. 10: 1043-54. PMID 24553424 DOI: 10.1039/C3Mb70421A  0.591
2013 Goyal N, Widiastuti H, Karimi IA, Zhi GZ. Genome-scale metabolic network reconstruction and in silico analysis of Methanococcus maripaludis S2 Computer-Aided Chemical Engineering. 32: 181-186. DOI: 10.1016/B978-0-444-63234-0.50031-2  0.638
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