Speaker: Martin Modrák from the Institute of Microbiology of the Czech Academy of SciencesSimulation studies are an important part of validation for any statistical tool. In the context of Bayesian models, there are consistency results that can be used to check that the implementation of a model or an inference algorithm is correct. The SBC package aims to make this task easier by providing the necessary scaffolding and integrating with multiple packages for exact and approximate Bayesian inference. The package is best used within an iterative workflow of model checking and development, which will be also briefly outlined.Registration is not needed.Join the webinar in GoToMeeting»We value your opinion. Please give us your feedback on the webinar»Note: the webinar will be recorded and the recording will be used on the ELIXIR CZ website, social media, in ELIXIR CZ e-publications, or in any other ELIXIR CZ online materials.
PhyloFisher: A phylogenomic package for resolving eukaryotic relationshipsMartin Kolisko, Matthew W Brown from BC, JUMeet us online every friday morning to explore the portfolio of ELIXIR CZ tools and services at https://global.gotomeeting.com/join/508817
projít na článekApproximation of collective variables by neural networks AnncolvarVojtech Spiwok from UCTMany methods have been developed to accelerate molecular dynamics simulations. Some of these methods are based on artificial forces applied on certain descriptors of
projít na článekOpenPonk: an Open Conceptual Modelling PlatformRobert Pergl, Jan Blizničenko from CTUOpenPonk is an open platform for conceptual modelling. It offers several notations for structural and behavioural modelling, but most importantly, it is open for extendin
projít na článekMetadynminer and MetadynreporterVojtěch Spiwok from UCTBiomolecular simulations are computationally expensive calculations. For this reason most simulations nowadays span nanosecond or microsecond time scales. Many interesting processes, such as protein-l
projít na článekPrankWebMarian Novotný from UKPrankWeb (https://prankweb.cz/) is a tool predicting ligand binding sites on 3D structures using machine learning algorithms. The tool is integrated into the PDBe-KB. We will present both its current state and its future deve
projít na článek