{"id":17,"date":"2013-02-26T20:32:40","date_gmt":"2013-02-26T20:32:40","guid":{"rendered":"http:\/\/faculty.engineering.ucdavis.edu\/template\/?page_id=17"},"modified":"2020-12-07T23:49:06","modified_gmt":"2020-12-07T23:49:06","slug":"publications","status":"publish","type":"page","link":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
\n

Warning: This page is outdated. Please check the laboratory website for more recent information!<\/strong><\/h4>\n

Lab webpage: <\/a>Tagkopoulos’ lab web page<\/a><\/p>\n

Journals:<\/span><\/strong><\/h4>\n

[J24] M. Meisner, J.A. Rosenheim, I. Tagkopoulos, “A data-driven, machine learning framework for optimal pest management in cotton”, Ecosphere<\/em>, 2015 (in press)<\/p>\n

[J23] N. Rai, A. Ferreiro, A. Neckelmann, A. Soon, A. Yao, J. Siegel, M. Facciotti, I. Tagkopoulos, “RiboTALE: A modular, inducible system for accurate gene expression control”, doi<\/abbr>:10.1038\/srep10658, Scientific Reports<\/i><\/b>, 5: 10658, 2015 (link)<\/a><\/p>\n

[J22] L. Huynh, I. Tagkopoulos, “Fast and Accurate Circuit Design Automation through Hierarchical Model Switching”, doi:10.1021\/sb400139h, ACS Synthetic Biology<\/i><\/b>, 4<\/span> (8), pp 890\u2013897, 2015 (link)<\/a><\/p>\n

[J21] M. Kim, V. Zorraquino, I. Tagkopoulos, “Microbial Forensics: Predicting phenotypic characteristics and environmental conditions from large-scale gene expression profiles”, PLoS Computational Biology<\/i><\/b>, 2015 Mar;11 (3):e1004127<\/p>\n

[J20] A. Tsoukalas, T. Albertson, I. Tagkopoulos, “From data to optimal decision making: A data-driven, probabilistic machine learning approach to decision support for patients with Sepsis”, JMIR Medical Informatics<\/i><\/b>, 3(1), 2015 (link)<\/a>, (pdf)<\/a><\/p>\n

[J19] TM. Taylor-Teeples, L. Lin, M. de Lucas, G. Turco, T. W. Toal, A. Gaudinier, N. F. Young, G. M. Trabucco, M. T. Veling, R. Lamothe, P. P. Handakumbura, G. Xiong, C. Wang, J. Corwin, A. Tsoukalas, L. Zhang, D. Ware, M. Pauly, D. J. Kliebenstein, K. Dehesh, I. Tagkopoulos, G. Breton, J. L. Pruneda-Paz, S. E. Ahnert, S. A. Kay, S. P. Hazen, S. M. Brady, “An Arabidopsis<\/i> gene regulatory network for secondary cell wall biosynthesis”, doi:10.1038\/nature14099, 517, 571\u2013575, Nature<\/i><\/b><\/b>, 2015 (link)<\/a><\/p>\n

[J18] V. Zorraquino, S. Quinones, M. Kim, N. Rai, I. Tagkopoulos, “Deciphering cross-stress responses in Escherichia coli under complex evolutionary scenarios”, bioRxiv<\/i><\/b>, doi: http:\/\/dx.doi.org\/10.1101\/010595 (link)<\/a><\/p>\n

[J17] J. Carrera, R. Estrela, J. Luo, N. Rai, A. Tsoukalas, I. Tagkopoulos, “An integrative, multi-layer, genome-scale model reveals the phenotypic landscape of Escherichia coli”, Molecular Systems Biology<\/i><\/b>, 10(7):735, 2014 (link)<\/a><\/p>\n

[J16] H.H. Aung, A. Tsoukalas, J. Rutledge, I. Tagkopoulos, “A Systems Biology Analysis of Brain Microvascular Endothelial Cell Lipotoxicity”, BMC Systems Biology<\/i><\/b>, 8:80, 2014 (link)<\/a><\/p>\n

[J15] L. Huynh, I. Tagkopoulos, “Optimal part and module selection for synthetic gene circuit design automation”, doi:10.1021\/sb400139h, ACS Synthetic Biology<\/i><\/b>, 2014 (link)<\/a>, (pdf)<\/a><\/p>\n

[J14] E. Gultepe, J. Green, H. Nguyen, J. Adams, T. Albertson, I. Tagkopoulos, “From vital signs to clinical outcomes for sepsis patients: A clinical decision support system based on discriminative classification”, doi:10.1136\/amiajnl-2013-001815, Journal of the American Medical Informatics Association (JAMIA)<\/i><\/b>, 21(2):315-25, 2014 (link)<\/a>, (pdf)<\/a><\/p>\n

[J13] M. Dragosits, V. Mozhayskiy, S. Quinones-Soto, J. Park, I.Tagkopoulos, “Evolutionary potential,cross-stress behavior, and the genetic basis of acquired stress resistance in Escherichia coli<\/i><\/b>“, doi:10.1038\/msb.2012.76, 9:643, Molecular Systems Biology<\/i><\/b>, 2013 (link)<\/a>, (pdf)<\/a>, (Suppl. Mat. pdf)<\/a><\/p>\n

[J12] A. Yao, T. Fenton, K. Owsley, P. Seitzer, D. Larsen, H. Lam, J. Lau, A. Nair, J. Tantiongloc, I. Tagkopoulos, M. Facciotti, “Promoter activity arising from the fusion of standard BioBrick parts”, 2 (2), pp 111\u2013120, DOI: 10.1021\/sb300114d, ACS Synthetic Biology<\/i><\/b>, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J11] A. Pavlogiannis, V. Mozhayskiy, I. Tagkopoulos, “A flood-based information flow analysis and network minimization method for bacterial systems”, 14:137 DOI:10.1186\/1471-2105-14-137, BMC Bioinformatics<\/i><\/b>, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J10] L. Huynh, A. Tsoukalas, M. K\u00f6ppe, I.Tagkopoulos, “SBROME: A scalable optimization and module matching framework for automated biosystem design”, DOI: 10.1021\/sb300095m, pp 263-273, ACS Synthetic Biology<\/i><\/b>, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J9] V. Mozhayskiy, I. Tagkopoulos, “Microbial evolution in vivo<\/i><\/b> and in silico<\/i><\/b>: methods and applications”, DOI:10.1039\/C2IB20095C, 5(2):262-77, Integrative Biology<\/i><\/b>, 2012 (link)<\/a>, (pdf)<\/a><\/p>\n

[J8] Y. Liang, H. Wu, R. Lei, RA. Chong, Y. Wei, X. Lu, I. Tagkopoulos, SY. Kung, Q. Yang, G. Hu, Y. Kang, “Transcriptional Network Analysis Identififies BACH1 as a Master Regulator of Breast Cancer Bone Metastasis”, 287(40):33533-44, Journal of Biological Chemistry<\/i><\/b>, 2012 (link)<\/a>, (pdf)<\/a><\/p>\n

[J7] I. Tagkopoulos, “Microbial factories under control: Auto-regulatory control through engineered stress-induced feedback”, 4:1, 1-4, Bioengineered<\/i><\/b>, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J6] L. Huynh, J. Kececioglu, M. K\u00f6ppe, I.Tagkopoulos, “Automated Design of Synthetic Gene Circuits through Linear Approximation and Mixed Integer Optimization”, 7(4):e35529, PLoS ONE<\/i><\/b>, 2012 (link)<\/a><\/p>\n

[J5] M. Dragosits, D. Nicklas, I.Tagkopoulos, “A synthetic biology approach to self-regulatory recombinant protein production in Escherichia coli<\/i><\/b>“, 6:2, Journal of Biological Engineering<\/i><\/b>, 2012 (link)<\/a><\/p>\n

[J4] V.Mozhayskiy, I.Tagkopoulos, “Guided evolution of in silico microbial populations in complex environments accelerates evolutionary rates through a step-wise adaptation”, doi: 10.1186\/1471-2105-13-S10-S10, 13:S10, BMC Bioinformatics<\/i><\/b>, 2012 (link)<\/a><\/p>\n

[J3] V.Mozhayskiy, I.Tagkopoulos, “Horizontal gene transfer dynamics and distribution of fitness effects during microbial In silico Evolution”, doi: 10.1186\/1471-2105-13-S10-S13, 13:S13, BMC Bioinformatics<\/i><\/b>, 2012 (link)<\/a><\/p>\n

[J2] I.Tagkopoulos, Y.Liu, S. Tavazoie, “Predictive Behavior Within Microbial Genetic Networks”, Science<\/i><\/b>, 320:1313-7, 2008 (link)<\/a>, (pdf)<\/a><\/p>\n

[J1] S.Y.Kung, M.W. Mak, and I.Tagkopoulos, “Symmetric and Asymmetric Multi-modality Biclustering Analysis for Microarray Data Matrix”, Journal of Bioinformatics and Computational Biology<\/i><\/b>, vol 4(2), pp. 275-298, 2006 (link)<\/a>, (pdf)<\/a>
\n[J23] N. Rai, A. Ferreiro, A. Neckelmann, A. Soon, A. Yao, J. Siegel, M. Facciotti, I. Tagkopoulos, “RiboTALE: A modular, inducible system for accurate gene expression control”, Scientific Reports<\/i><\/b>, 2015 (in press)<\/p>\n

[J22] L. Huynh, I. Tagkopoulos, “Fast and Accurate Circuit Design Automation through Hierarchical Model Switching”, doi:10.1021\/sb400139h, ACS Synthetic Biology<\/i><\/b>, 2015 (in press)(link)<\/a>, (pdf)<\/a><\/p>\n

[J21] M. Kim, V. Zorraquino, I. Tagkopoulos, “Microbial Forensics: Predicting phenotypic characteristics and environmental conditions from large-scale gene expression profiles”, PLoS Computational Biology<\/i><\/b>, 2015 Mar;11 (3):e1004127<\/p>\n

[J20] A. Tsoukalas, T. Albertson, I. Tagkopoulos, “From data to optimal decision making: A data-driven, probabilistic machine learning approach to decision support for patients with Sepsis”, JMIR Medical Informatics<\/i><\/b>, 3(1), 2015<\/p>\n

[J20] V. Zorraquino, S. Quinones, M. Kim, N. Rai, I. Tagkopoulos, “Deciphering cross-stress responses in Escherichia coli under complex evolutionary scenarios”, under review, ISME Journal, 2014<\/p>\n

[J19] M. Kim, V. Zorraquino, I. Tagkopoulos, “Microbial Forensics: Predicting phenotypic characteristics and environmental conditions from large-scale gene expression profiles”, under revision, PLoS Computational Biology, 2014<\/p>\n

[J18] A. Tsoukalas, T. Albertson, I. Tagkopoulos, “From data to optimal decision making: A data-driven, probabilistic machine learning approach to decision support for patients with Sepsis”, under revision, JMIR, 2014<\/p>\n

[J17] J. Carrera, R. Estrela, J. Luo, N. Rai, A. Tsoukalas, I. Tagkopoulos, “An integrative, multi-layer, genome-scale model reveals the phenotypic landscape of Escherichia coli”, Molecular Systems Biology<\/i>, 10(7):735, 2014 (link)<\/a><\/p>\n

[J16] H.H. Aung, A. Tsoukalas, J. Rutledge, I. Tagkopoulos, “A Systems Biology Analysis of Brain Microvascular Endothelial Cell Lipotoxicity”, BMC Systems Biology<\/i>, 8:80, 2014 (link)<\/a><\/p>\n

[J15] L. Huynh, I. Tagkopoulos, “Optimal part and module selection for synthetic gene circuit design automation”, doi:10.1021\/sb400139h, ACS Synthetic Biology, 2014 (link)<\/a>, (pdf)<\/a><\/p>\n

[J14] E. Gultepe, J. Green, H. Nguyen, J. Adams, T. Albertson, I. Tagkopoulos, “From vital signs to clinical outcomes for sepsis patients: A clinical decision support system based on discriminative classification”, doi:10.1136\/amiajnl-2013-001815, Journal of the American Medical Informatics Association (JAMIA)<\/i>, 21(2):315-25, 2014 (link)<\/a>, (pdf)<\/a><\/p>\n

[J13] M. Dragosits, V. Mozhayskiy, S. Quinones-Soto, J. Park, I.Tagkopoulos, “Evolutionary potential,cross-stress behavior, and the genetic basis of acquired stress resistance in Escherichia coli<\/i>“, doi:10.1038\/msb.2012.76, 9:643, Nature\/EMBO Molecular Systems Biology<\/i>, 2013 (link)<\/a>, (pdf)<\/a>, (Suppl. Mat. pdf)<\/a><\/p>\n

[J12] A. Yao, T. Fenton, K. Owsley, P. Seitzer, D. Larsen, H. Lam, J. Lau, A. Nair, J. Tantiongloc, I. Tagkopoulos, M. Facciotti, “Promoter activity arising from the fusion of standard BioBrick parts”, 2 (2), pp 111\u2013120, DOI: 10.1021\/sb300114d, ACS Synthetic Biology, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J11] A. Pavlogiannis, V. Mozhayskiy, I. Tagkopoulos, “A flood-based information flow analysis and network minimization method for bacterial systems”, 14:137 DOI:10.1186\/1471-2105-14-137, BMC Bioinformatics, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J10] L. Huynh, A. Tsoukalas, M. K\u00f6ppe, I.Tagkopoulos, “SBROME: A scalable optimization and module matching framework for automated biosystem design”, DOI: 10.1021\/sb300095m, pp 263-273, ACS Synthetic Biology, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J9] V. Mozhayskiy, I. Tagkopoulos, “Microbial evolution in vivo<\/i> and in silico<\/i>: methods and applications”, DOI:10.1039\/C2IB20095C, 5(2):262-77, Integrative Biology, 2012 (link)<\/a>, (pdf)<\/a><\/p>\n

[J8] Y. Liang, H. Wu, R. Lei, RA. Chong, Y. Wei, X. Lu, I. Tagkopoulos, SY. Kung, Q. Yang, G. Hu, Y. Kang, “Transcriptional Network Analysis Identififies BACH1 as a Master Regulator of Breast Cancer Bone Metastasis”, 287(40):33533-44, Journal of Biological Chemistry, 2012 (link)<\/a>, (pdf)<\/a><\/p>\n

[J7] I. Tagkopoulos, “Microbial factories under control: Auto-regulatory control through engineered stress-induced feedback”, 4:1, 1-4, Bioengineered, 2013 (link)<\/a>, (pdf)<\/a><\/p>\n

[J6] L. Huynh, J. Kececioglu, M. K\u00f6ppe, I.Tagkopoulos, “Automated Design of Synthetic Gene Circuits through Linear Approximation and Mixed Integer Optimization”, 7(4):e35529, PLoS ONE, 2012 (link)<\/a><\/p>\n

[J5] M. Dragosits, D. Nicklas, I.Tagkopoulos, “A synthetic biology approach to self-regulatory recombinant protein production in Escherichia coli<\/i>“, 6:2, Journal of Biological Engineering, 2012 (link)<\/a><\/p>\n

[J4] V.Mozhayskiy, I.Tagkopoulos, “Guided evolution of in silico microbial populations in complex environments accelerates evolutionary rates through a step-wise adaptation”, doi: 10.1186\/1471-2105-13-S10-S10, 13:S10, BMC Bioinformatics, 2012 (link)<\/a><\/p>\n

[J3] V.Mozhayskiy, I.Tagkopoulos, “Horizontal gene transfer dynamics and distribution of fitness effects during microbial In silico Evolution”, doi: 10.1186\/1471-2105-13-S10-S13, 13:S13, BMC Bioinformatics, 2012 (link)<\/a><\/p>\n

[J2] I.Tagkopoulos, Y.Liu, S. Tavazoie, “Predictive Behavior Within Microbial Genetic Networks”, Science, 320:1313-7, 2008 (link)<\/a>, (pdf)<\/a><\/p>\n

[J1] S.Y.Kung, M.W. Mak, and I.Tagkopoulos, “Symmetric and Asymmetric Multi-modality Biclustering Analysis for Microarray Data Matrix”, Journal of Bioinformatics and Computational Biology, vol 4(2), pp. 275-298, 2006 (link)<\/a>, (pdf)<\/a><\/p>\n<\/div>\n

\n

Peer-reviewed Conference Publications:<\/span><\/h4>\n

[C13] E. Gultepe, Hien Nguyen, Tim Albertson, I.Tagkopoulos, “A Bayesian network for early diagnosis of sepsis patients: a basis for a clinical decision support system”, 2nd IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Las Vegas, NV, pp.1-5, 23-25, 2012<\/p>\n

[C12] L. Huynh, I.Tagkopoulos, “A robust, library-based, optimization-driven method for automatic gene circuit design”, 2nd IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), Las Vegas, NV, pp.1-6, 24-26, 2012<\/p>\n

[C11] L.Huynh, J.Kececioglu, I.Tagkopoulos, “Scaling responsibly, Towards a reusable, modular, automated gene circuit design”, Proceedings of the 3rd International Workshop on Bio-design Automation, IWBDA’12, San Diego, 2012.<\/p>\n

[C10] R. Miller, V.Mozhayskiy, I.Tagkopoulos, KL. Ma, “EVEVis: A Multi-Scale Visualization System for Dense Evolutionary Data”, 1st IEEE Symposium on Biological Data Visualization, pp. 143-150, Providence, Rhode Island, 2011<\/p>\n

[C9] V.Mozhayskiy, R. Miller, KL. Ma, I.Tagkopoulos, “A Scalable Multi-scale Framework for Parallel Simulation and Visualization of Microbial Evolution”, TeraGrid2011; Salt Lake City, Utah, 2011, DOI:10.1145\/2016741.2016749 (Best Paper Award)<\/p>\n

[C8] V.Mozhayskiy, I.Tagkopoulos, “In silico Evolution of Multi-scale Microbial Systems in the Presence of Mobile Genetic Elements and Horizontal Gene Transfer”, ISBRA2011, Lecture Notes in Bioinformatics, LNBI 6674, pp.262-273, Springer, 2011<\/p>\n

[C7] L.Huynh, J.Kececioglu, I.Tagkopoulos, “Automated Design of Synthetic Gene Circuits through Linear Approximation and Mixed Integer Optimization”, Proceedings of the 3rd International Workshop on Bio-design Automation, IWBDA2011, San Diego, 2011.<\/p>\n

[C6] I.Tagkopoulos, D. Serpanos, “Gene Classification and Regulatory Prediction Based on Transcriptional Modeling.” Proceedings of the IEEE Symposium on Signal Processing and Information Technology, ISSPIT2005, pp. 29-34, Proceedings of the Firth IEEE International Symposium on Signal Processing and Information Technology, Athens, Greece, 2005.<\/p>\n

[C5] I.Tagkopoulos, “A Transcriptional Approach to Gene Clustering”, CIBCB2005, Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, pp.1-7, San Diego, California, 2005. (student paper award)<\/p>\n

[C4] I.Tagkopoulos, N. Slavov, S.Y. Kung, “Multi-class Biclustering and Classification Based on Modeling of Gene Regulatory Networks”, BIBE2005, Proceedings of the 5th IEEE Symposium on Bioengineering and Bioinformatics, pp. 89-96, Minneapolis, Minnesota, 2005.<\/p>\n

[C3] S.Y.Kung, M.W. Mak, and I.Tagkopoulos, “Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data”, CSB2005, Proceedings of the IEEE Computational Systems Bioinformatics Conference, pp.123-134, Stanford, California, 2005.<\/p>\n

[C2] I.Tagkopoulos, C.Zukowski, G.Cavelier, D.Anastassiou, “A Custom FPGA for the Simulation of Gene Regulatory Networks”, GLSVLSI2003, Proceedings of the 13th ACM Great Lakes Symposium on VLSI, pp. 135-141, Washington D.C., 2003.<\/p>\n

[C1] N.D.Zervas, I.Tagkopoulos, V. Spiliotopoulos, D.Soudris, C.E.Goutis, “Comparison of DWT Scheduling Algorithms Alternatives on Programmable Platforms”, ISCAS2001, Proceedings of the International Symposium on Circuits and Systems, , pp. 761-764, vol. 2, Sidney, Australia, 2001.<\/p>\n<\/div>\n

Other means (book chapters, extended abstracts, articles)<\/span><\/h4>\n

[O12] T.Evitts, K.Gabric, I.Tagkopoulos, “Quorum Sensing in Bacteria”, NSF BioMath Module, COMAP, pp. 1-42 (in press).<\/p>\n

[O11] M. Dragosits, V. Mozhayskiy, D. Nicklas, I. Tagkopoulos: ‘Synthetic biology and evolutionary aspects of internal and external stress for industrial microbiology ‘, 4th \u00d6GMBT annual meeting, September 17-19, 2012, Graz, Austria.<\/p>\n

[O10] L. Huynh, I. Tagkopoulos, “Scaling responsively: towards a reusable, modular, automated gene circuit design”,Proceedings of the 4rth International Workshop on Bio-design Automation, IWBDA’12, San Francisco, 2012.<\/p>\n

[O9] A.Pavlogiannis, V.Mozhayskiy, I.Tagkopoulos, “Network floods reveal regulatory control flows and minimal networks in synthetic and bacterial datasets”, 20th Annual Conference on Intelegent Systems for Molecular Biology, ISMB2012, Long Beach, CA. 2012.<\/p>\n

[O8] V. Mozhayskiy, M. Dragosits, I. Tagkopoulos, “Guided step-wise adaptation of microbial populations”, 7th Annual Systems-to-Synthesis Symposium, San Diego, CA, 2012.<\/p>\n

[O7] I.Tagkopoulos, “Self-regulatory circuits for recombinant protein production”, Poster, 11th Conference on Microbial Genetics and Ecology, BAGECO’11, Corfu, Greece, 2011.<\/p>\n

[O6] I.Tagkopoulos, “Microbial Evolution in Stressful Environments: Theory and Experiments”, Poster, 11th Conference on Microbial Genetics and Ecology, BAGECO’11, Corfu, Greece, 2011.<\/p>\n

[O5] L.Huynh, J.Kececioglu, I.Tagkopoulos, “Automated Design of Synthetic Gene Circuits through Linear Approximation and Mixed Integer Optimization”, Proceedings of the 3rd International Workshop on Bio-design Automation, IWBDA’11, San Diego, 2011.<\/p>\n

[O4] V.Mozhayskiy, I.Tagkopoulos, “Facilitated Variation of in silico<\/i> Microbial Populations Affects Evolutionary Rates”, Poster and Talk, 7th International Symposium on Bioinformatics Research and Applications, Changsha, China, May 2011.<\/p>\n

[O3] V.Mozhayskiy, I.Tagkopoulos, “Large-scale Evolutionary Simulations of Complex Microbial Behaviors in Dynamic Environments”, Poster, 9th Annual International Conference on Computational Systems Bioinformatics, CSB’10, Stanford, 2010.<\/p>\n

[O2] V.Mozhayskiy, I.Tagkopoulos, “Emergence of Robust Biological Networks in Petascale Simulations of Bacterial Evolution”, Abstract, Extreme Scale I\/O and Data Analysis Workshop, NSF\/NCSA\/TACC, Austin, TX, 2010.<\/p>\n

[O1] V.Mozhayskiy, I.Tagkopoulos, “Simulations of Microbial Evolution in Fluctuating Environments”, Poster, 18th Annual International Conference on Intelligent Systems for Molecular Biology, ISMB’10, Boston, 2010.<\/p>\n","protected":false},"excerpt":{"rendered":"

Warning: This page is outdated. Please check the laboratory website for more recent information! Lab webpage: Tagkopoulos’ lab web page Journals: [J24] M. Meisner, J.A. Rosenheim, I. Tagkopoulos, “A data-driven, machine learning framework for optimal pest management in cotton”, Ecosphere, 2015 (in press) [J23] N. Rai, A. Ferreiro, A. Neckelmann, \u2026 Continue reading → <\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"inline_featured_image":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/pages\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/comments?post=17"}],"version-history":[{"count":8,"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/pages\/17\/revisions"}],"predecessor-version":[{"id":254,"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/pages\/17\/revisions\/254"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.ucdavis.edu\/tagkopoulos\/wp-json\/wp\/v2\/media?parent=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}