Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Varun B. Kothamachu"'
Publikováno v:
SLAS Technology. 25:411-426
Digital microfluidics (DMF) is a liquid handling technique that has been demonstrated to automate biological experimentation in a low-cost, rapid, and programmable manner. This review discusses the role of DMF as a "digital bioconverter"-a tool to co
Autor:
Munia Amin, Varun B Kothamachu, Elisenda Feliu, Birgit E Scharf, Steven L Porter, Orkun S Soyer
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 10, p e1003890 (2014)
Synthetic biology aims to design de novo biological systems and reengineer existing ones. These efforts have mostly focused on transcriptional circuits, with reengineering of signaling circuits hampered by limited understanding of their systems dynam
Externí odkaz:
https://doaj.org/article/d0135361283946509e511211f0847b71
Publikováno v:
PLoS Computational Biology, Vol 9, Iss 11, p e1003322 (2013)
Achieving a complete understanding of cellular signal transduction requires deciphering the relation between structural and biochemical features of a signaling system and the shape of the signal-response relationship it embeds. Using explicit analyti
Externí odkaz:
https://doaj.org/article/e8cf14fe23284a9896dd98f2576e519a
Supplemental material, Kothamachu_et_al_SI for Role of Digital Microfluidics in Enabling Access to Laboratory Automation and Making Biology Programmable by Varun B. Kothamachu, Sabrina Zaini and Federico Muffatto in SLAS Technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab8c789fe043eb742eed717855bfc9f8
Autor:
Nicolas Rodriguez, Sarala M. Wimalaratne, Camille Laibe, Rahuman S Malik-Sheriff, Roland Eils, Robert Hälke, Martin Graesslin, Tung V N Nguyen, Maciej J. Swat, Vijayalakshmi Chelliah, Jochen Schramm, Henning Hermjakob, Nicolas Le Novère, Varun B. Kothamachu, Raza Ali, Jürgen Eils, Mihai Glont
Publikováno v:
Nucleic Acids Research
BioModels serves as a central repository of mathematical models representing biological processes. It offers a platform to make mathematical models easily shareable across the systems modelling community, thereby supporting model reuse. To facilitate
Autor:
Natalie J, Stanford, Martin, Scharm, Paul D, Dobson, Martin, Golebiewski, Michael, Hucka, Varun B, Kothamachu, David, Nickerson, Stuart, Owen, Jürgen, Pahle, Ulrike, Wittig, Dagmar, Waltemath, Carole, Goble, Pedro, Mendes, Jacky, Snoep
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2049
Computational systems biology involves integrating heterogeneous datasets in order to generate models. These models can assist with understanding and prediction of biological phenomena. Generating datasets and integrating them into models involves a
Publikováno v:
CDC
2018 IEEE Conference on Decision and Control (CDC)
2018 IEEE Conference on Decision and Control (CDC)
Synthetic biology is an emerging engineering discipline that aims at synthesising logical circuits into cells to accomplish new functions. Despite a thriving community and some notable successes, the basic task of assembling predictable gene circuits
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bc283535d33305e2b0d254e8825dbc
https://zenodo.org/record/4836024
https://zenodo.org/record/4836024
Autor:
Michael Witting, Sven Bergmann, Artur B. Lourenço, Filipe Cabreiro, Chintan Joshi, Christoph Kaleta, Toon Santermans, Paul R. Ebert, Varun B. Kothamachu, Manusnan Suriyalaksh, Paul D. Dobson, Juliette Pearce, Jake P. N. Hattwell, Pasquale Scarcia, Yu Nie, Aleksandra Zečić, Benjamin D. Towbin, Johannes Zimmermann, Nicolas Le Novère, Marta Artal-Sanz, Rob Jelier, Nicolas Rodriguez, Mary Ann Tuli, Reuben L. Smith, Horst Joachim Schirra, Hooman Hefzi, Ming Sheng, Abraham Mains, Jake G. Bundy, David Weinkove, Michel van Weeghel, Riekelt H. Houtkooper, Povilas Norvaisas, Olivia Casanueva, Nathan E. Lewis, Bart P. Braeckman, Cristian Riccio, Janna Hastings
Publikováno v:
Hastings, Janna; Mains, Abraham; Artal-Sanz, Marta; Bergmann, Sven; Braeckman, Bart P.; Bundy, Jake; Cabreiro, Filipe; Dobson, Paul; Ebert, Paul; Hattwell, Jake; Hefzi, Hooman; Houtkooper, Riekelt H.; Jelier, Rob; Joshi, Chintan; Kothamachu, Varun B.; Lewis, Nathan; Lourenço, Artur Bastos; Nie, Yu; Norvaisas, Povilas; Pearce, Juliette; ... (2017). WormJam: A consensus C. elegans Metabolic Reconstruction and Metabolomics Community and Workshop Series. Worm, 6(2), e1373939. Taylor & Francis 10.1080/21624054.2017.1373939
Worm, 2017, Vol.6(2), pp.e1373939 [Peer Reviewed Journal]
Worm 6:e1373939 (2017)
Worm
Worm, 2017, Vol.6(2), pp.e1373939 [Peer Reviewed Journal]
Worm 6:e1373939 (2017)
Worm
A GENiE (EU COST action, www.worm-genie.eu) workshop was held at the Babraham Institute in Cambridge, UK on April 19 and 20, 2017, to discuss global challenges around Caenorhabditis elegans metabol...
Autor:
Birgit E. Scharf, Steven L. Porter, Orkun S. Soyer, Varun B. Kothamachu, Munia Amin, Elisenda Feliu
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 10, p e1003890 (2014)
Amin, M, Kothamachu, V B, Feliu, E, Scharf, B E, Porter, S L & Soyer, O S 2014, ' Phosphate sink containing two-component signaling systems as tunable threshold devices ', PLoS Computational Biology, vol. 10, no. 10, pp. e1003890 . https://doi.org/10.1371/journal.pcbi.1003890
PLoS Computational Biology
Amin, M, Kothamachu, V B, Feliu, E, Scharf, B E, Porter, S L & Soyer, O S 2014, ' Phosphate sink containing two-component signaling systems as tunable threshold devices ', PLoS Computational Biology, vol. 10, no. 10, pp. e1003890 . https://doi.org/10.1371/journal.pcbi.1003890
PLoS Computational Biology
Synthetic biology aims to design de novo biological systems and reengineer existing ones. These efforts have mostly focused on transcriptional circuits, with reengineering of signaling circuits hampered by limited understanding of their systems dynam
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 9, Iss 11, p e1003322 (2013)
PLoS Computational Biology, Vol 9, Iss 11, p e1003322 (2013)
Achieving a complete understanding of cellular signal transduction requires deciphering the relation between structural and biochemical features of a signaling system and the shape of the signal-response relationship it embeds. Using explicit analyti