Zobrazeno 1 - 10
of 96
pro vyhledávání: '"David Šafránek"'
Autor:
Martin Helfrich, Roman Andriushchenko, Milan Češka, Jan Křetínský, Štefan Martiček, David Šafránek
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract Background Stochastic models are commonly employed in the system and synthetic biology to study the effects of stochastic fluctuations emanating from reactions involving species with low copy-numbers. Many important models feature complex dy
Externí odkaz:
https://doaj.org/article/9c5f251963bf4bff8d0f2c71e710a3f9
Autor:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, William T. Scott, Elena Domínguez-Romero, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2024)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/231bbdc173f041d7b339528a06d2b5e4
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-18 (2022)
Abstract Background Boolean networks (BNs) provide an effective modelling formalism for various complex biochemical phenomena. Their long term behaviour is represented by attractors–subsets of the state space towards which the BN eventually converg
Externí odkaz:
https://doaj.org/article/8aab5820f4274e3db54d2030ac333253
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0291151 (2023)
Stochastic population models are widely used to model phenomena in different areas such as cyber-physical systems, chemical kinetics, collective animal behaviour, and beyond. Quantitative analysis of stochastic population models easily becomes challe
Externí odkaz:
https://doaj.org/article/b3e51231c30d492ab3f153218ad0225d
Autor:
Katharina F. Heil, Anze Zupanic, Chris T. Evelo, Carole Goble, Kristel Van Steen, Tadeja Rezen, Hans V Westerhoff, Rahuman S. Malik Sheriff, Maria Suarez Diez, Henning Hermjakob, Marco Pagni, Damjana Rozman, Barbara Szomolay, Miguel Rocha, Jasper Koehorst, Alexey Kolodkin, Victoria Dominguez Del Angel, David Šafránek, Dirk Fey, Ilja Arts, Rui Benfeitas, Vitor Martins dos Santos, Mihail Anton, Marek Ostaszewski, Ulrike Wittig, John M. Hancock, Brane Leskošek, Katherine Wolstencroft, Martin Golebiewski, Wolfgang Müller, Polonca Ferk, Kristina Gruden, Martina Kutmon, Maria I. Klapa, Sébastien Moretti, Pascal Kahlem
Publikováno v:
F1000Research, Vol 11 (2022)
In this white paper, we describe the founding of a new ELIXIR Community - the Systems Biology Community - and its proposed future contributions to both ELIXIR and the broader community of systems biologists in Europe and worldwide. The Community beli
Externí odkaz:
https://doaj.org/article/da5bfc6068504a22a6da45f585378940
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 9 (2022)
Honeybees protect their colony against vertebrates by mass stinging and they coordinate their actions during this crucial event thanks to an alarm pheromone carried directly on the stinger, which is therefore released upon stinging. The pheromone the
Externí odkaz:
https://doaj.org/article/0a4ad644cb21421395553bea117ef6ae
Publikováno v:
Logical Methods in Computer Science, Vol Volume 18, Issue 1 (2022)
Edge-coloured directed graphs provide an essential structure for modelling and analysis of complex systems arising in many scientific disciplines (e.g. feature-oriented systems, gene regulatory networks, etc.). One of the fundamental problems for edg
Externí odkaz:
https://doaj.org/article/b81b0d37cae24805936051030bc24352
Autor:
Susanne Hollmann, Andreas Kremer, Špela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. Evelo, Alina Nechyporenko, Marcus Frohme, David Šafránek, Babette Regierer, Domenica D'Elia
Publikováno v:
F1000Research, Vol 9 (2021)
Today, academic researchers benefit from the changes driven by digital technologies and the enormous growth of knowledge and data, on globalisation, enlargement of the scientific community, and the linkage between different scientific communities and
Externí odkaz:
https://doaj.org/article/703ca5ecc3b84ebb88f288f04fe6341d
Autor:
Susanne Hollmann, Andreas Kremer, Špela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. Evelo, Alina Nechyporenko, Marcus Frohme, David Šafránek, Babette Regierer, Domenica D'Elia
Publikováno v:
F1000Research, Vol 9 (2020)
Today, academic researchers benefit from the changes driven by digital technologies and the enormous growth of knowledge and data, on globalisation, enlargement of the scientific community, and the linkage between different scientific communities and
Externí odkaz:
https://doaj.org/article/d744d3a2336b41dca53c273c146fdff9
Publikováno v:
PLoS ONE, Vol 15, Iss 9, p e0238838 (2020)
Computational systems biology provides multiple formalisms for modelling of biochemical processes among which the rule-based approach is one of the most suitable. Its main advantage is a compact and precise mechanistic description of complex processe
Externí odkaz:
https://doaj.org/article/ad450976c6ec4501aa16c4a88eeaf377