Using Europe PMC for effective literature research
This webinar will explain how to find and access relevant scientific literature and show how you can follow the latest developments in your scientific field. It will cover searches by topic and author, searches for associated research data, as well as advanced options for building complex...
Keywords: Literature search, peer reviewed articles, Europe PMC, Preprints, Data links, Annotations, Europe PMC, ORCID
Resource type: Life Science Literature Database, Life Sciences Literature Database
Using Europe PMC for effective literature research
https://www.ebi.ac.uk/training-beta/events/using-europe-pmc-effective-literature-research/
http://tess.elixir-uk.org/materials/using-europe-pmc-for-effective-literature-research
This webinar will explain how to find and access relevant scientific literature and show how you can follow the latest developments in your scientific field. It will cover searches by topic and author, searches for associated research data, as well as advanced options for building complex queries.
Europe PMC (https://europepmc.org/) is an open biomedical literature database including PubMed indexed articles, preprints, micropublications and more.
This webinar is aimed at scientists who want to optimise their literature searches. No prior knowledge of bioinformatics is required, but an undergraduate level understanding of biology would be useful.
Dayane Araujo
Michael Parkin
Literature search, peer reviewed articles, Europe PMC, Preprints, Data links, Annotations, Europe PMC, ORCID
DE-Sim examples, tutorials, and documentation
*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html),...
Scientific topics: Computational biology, Mathematics, Computer science, Simulation experiment
Operations: Visualisation, Modelling and simulation
Keywords: data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science
Resource type: examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
https://github.com/KarrLab/de_sim
http://tess.elixir-uk.org/materials/de-sim-examples-tutorials-and-documentation
*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html), [pandas](https://pandas.pydata.org/), and [SQLAlchemy](https://www.sqlalchemy.org/) to build and simulate complex computational models. Similar to [Simula](http://www.simula67.info/), *DE-Sim* models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time.
This website provides examples, tutorials, and documentation for *DE-Sim*.
Jonathan Karr
Arthur Goldberg
Computational biology
Mathematics
Computer science
Simulation experiment
data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science
computational scientists
Computational biologists
bioinformaticians
software engineers
programmers