Dace Ruklisa, PhD
Affiliations: | University College London, London, United Kingdom | ||
| European Bioinformatics Institute | University of Cambridge, Cambridge, England, United Kingdom |
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"Dace Ruklisa"Parents
Sign in to add mentor| Ewan Birney | grad student | 2011 | Cambridge | |
| (Large Scale Genomic Association Studies in Fruit Fly and Human) | ||||
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Publications
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| Ozola A, Ruklisa D, Pjanova D. (2019) The complementary effect of rs1042522 in and rs1805007 in is associated with an elevated risk of cutaneous melanoma in Latvian population. Oncology Letters. 18: 5225-5234 |
| Ruklisa D, Brazma A, Cerans K, et al. (2019) Dynamics of gene regulatory networks and their dependence on network topology and quantitative parameters - the case of phage λ. Bmc Bioinformatics. 20: 296 |
| Ozola A, Ruklisa D, Pjanova D. (2018) Association of the 16q24.3 region gene variants rs1805007 and rs4785763 with heightened risk of melanoma in Latvian population Meta Gene. 18: 87-92 |
| Petersen R, Lambourne JJ, Javierre BM, et al. (2017) Platelet function is modified by common sequence variation in megakaryocyte super enhancers. Nature Communications. 8: 16058 |
| Brazma A, Cerans K, Ruklisa D, et al. (2015) Modeling and analysis of qualitative behavior of gene regulatory networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7699: 51-66 |
| Viksna J, Brazma A, Cerans K, et al. (2014) Hybrid systems for modeling and analysis of qualitative behaviour of gene regulatory networks F1000research. 5 |
| Brazma A, Cerans K, Ruklisa D, et al. (2013) HSM - a hybrid system based approach for modelling intracellular networks. Gene. 518: 70-7 |
| Ruklisa D, Brazma A, Viksna J. (2005) Reconstruction of gene regulatory networks under the finite state linear model. Genome Informatics. International Conference On Genome Informatics. 16: 225-36 |