Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Mary Ann Blätke"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 4626-4640 (2021)
The availability of multi-omics data sets and genome-scale metabolic models for various organisms provide a platform for modeling and analyzing genotype-to-phenotype relationships. Flux balance analysis is the main tool for predicting flux distributi
Externí odkaz:
https://doaj.org/article/781c0cfc2d3e4cfebc46768e7e1ac50c
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/05c9d671880b4fd7bb86f361e0466f82
Autor:
Mary-Ann Blätke, Andrea Bräutigam
Publikováno v:
eLife, Vol 8 (2019)
Constraint-based modelling (CBM) is a powerful tool for the analysis of evolutionary trajectories. Evolution, especially evolution in the distant past, is not easily accessible to laboratory experimentation. Modelling can provide a window into evolut
Externí odkaz:
https://doaj.org/article/951b47fac9f347908a5ea8858763f6eb
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science
Frontiers in Plant Science
Autor:
Christian Rohr, Mary Ann Blätke
Publikováno v:
Fundamenta Informaticae. 160:221-254
Autor:
Mary Ann Blätke
Publikováno v:
Journal of Integrative Bioinformatics, Vol 15, Iss 3, Pp 366-78 (2018)
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics
While high-throughput technology, advanced techniques in biochemistry and molecular biology have become increasingly powerful, the coherent interpretation of experimental results in an integrative context is still a challenge. BioModelKit (BMK) appro
What is the background of this tutorial?During the last decade the integrative research area of systems biology has been constantly gaining more importance. Experimental and computational approaches are combined to systematically investigate biologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e43b0c5ed00e0bf9660b22528da99b7
Autor:
Réka Albert, Todd J. Barkman, Mary Ann Blätke, Hannah Callender, Margaret (Midge) Cozzens, Kristina Crona, Robin Davies, Monika Heiner, Terrell L. Hodge, Qijun He, John R. Jungck, Winfried Just, Bessie Kirkwood, M. Drew LaMar, Matthew Macauley, Wolfgang Marwan, David Murrugarra, Christian M. Reidys, Raina Robeva, Janet Steven, Blair R. Szymczyna, Natalia Toporikova, Alan Veliz-Cuba, Rama Viswanathan, Grady Weyenberg, Emilie Wiesner, Ruriko Yoshida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4118794bb78cb6f340b12131d4debd23
https://doi.org/10.1016/b978-0-12-801213-0.09993-7
https://doi.org/10.1016/b978-0-12-801213-0.09993-7
We present a unifying Petri net framework comprising the qualitative, stochastic, continuous, and hybrid paradigm for modeling and analyzing biological reaction networks. By means of a running case study, we demonstrate how the different paradigms co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faef0f193be251f9d03ca7e07c660949
https://doi.org/10.1016/b978-0-12-801213-0.00007-1
https://doi.org/10.1016/b978-0-12-801213-0.00007-1