Eivind Almaas, Ph.D.
Affiliations: | 2002 | Ohio State University, Columbus, Columbus, OH |
Area:
Condensed Matter PhysicsGoogle:
"Eivind Almaas"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| David Gordon Stroud | grad student | 2002 | Ohio State | |
| (Topics in the theory of quantum and classical networks.) | ||||
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Publications
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| Hall M, Kültz D, Almaas E. (2020) Identification of key proteins involved in stickleback environmental adaptation with system-level analysis. Physiological Genomics |
| Sulheim S, Kumelj T, van Dissel D, et al. (2020) Enzyme-Constrained Models and Omics Analysis of Streptomyces coelicolor Reveal Metabolic Changes that Enhance Heterologous Production. Iscience. 23: 101525 |
| Bjerkelund Røkke G, Hohmann-Marriott MF, Almaas E. (2020) An adjustable algal chloroplast plug-and-play model for genome-scale metabolic models. Plos One. 15: e0229408 |
| Martyushenko N, Almaas E. (2019) ModelExplorer - software for visual inspection and inconsistency correction of genome-scale metabolic reconstructions. Bmc Bioinformatics. 20: 56 |
| Voigt A, Almaas E. (2019) Assessment of weighted topological overlap (wTO) to improve fidelity of gene co-expression networks. Bmc Bioinformatics. 20: 58 |
| Kumelj T, Sulheim S, Wentzel A, et al. (2018) Predicting strain engineering strategies using iKS1317: a genome-scale metabolic model of Streptomyces coelicolor. Biotechnology Journal. e1800180 |
| Karlsen E, Schulz C, Almaas E. (2018) Automated generation of genome-scale metabolic draft reconstructions based on KEGG. Bmc Bioinformatics. 19: 467 |
| Gysi DM, Voigt A, Fragoso TM, et al. (2018) wTO: an R package for computing weighted topological overlap and a consensus network with integrated visualization tool. Bmc Bioinformatics. 19: 392 |
| Eidsaa M, Stubbs L, Almaas E. (2017) Comparative analysis of weighted gene co-expression networks in human and mouse. Plos One. 12: e0187611 |
| Voigt A, Nowick K, Almaas E. (2017) A composite network of conserved and tissue specific gene interactions reveals possible genetic interactions in glioma. Plos Computational Biology. 13: e1005739 |