The following breakout sessions will be organized:
BIUP - Metagenomics for business (Azie) (14:00-15:00)
Session organised by the Bioinformatics Industry Users Platform.
Organizers: Antoine Janssen (Keygene), Emiel Ver Loren van Themaat (DSM), Walter Pirovano (Baseclear)
This year the Bioinformatics Industrial Users Platform (BIUP) session will focus on the growing interest of commercial parties in metagenomics studies.
Predicting biophysical characteristics of proteins from their sequence (Afrika) (14:00 - 15:30)
Organizer: Niloofar Shirvanizadeh, VUB
There are now well over 130 million protein sequences available from Uniprot, and for only a small fraction of these (about 2%) structural information is available from the Protein Data Bank. Uniprot provides a mix of manual and automatic annotations for these sequences, but when working on a particular research question you might want to obtain a better insight into the possible behavior of the protein(s) you are interested in. We will introduce single-sequence based predictions of biophysical characteristics of proteins such as backbone dynamics from DynaMine, using Python scripts to access an API, and to then visualize them.
SPARQLing Biology; a beginners course (room 1+2) (14:00 - 15:30)
Organizers: Denise Slenter, Marvin Martens, Egon Willighagen, Maastricht University, BiGCaT bioinformatics group
More biological databases are being offered in the so called Resource Description Framework (RDF) format, which is a flexible way of sharing data in a machine readable manner. SPARQL is a (semantic) query language for these databases, allowing to find information within the RDF data.
Practical FAIR research data management (Amerika) (14:00 - 15:30)
Organizers: Douwe Molenaar and Brett Olivier, Vrije Universiteit Amsterdam
What does FAIR Research Data Management practically entail for a wet-lab scientist? Answers to this question are urgently needed. At the laboratories of the Amsterdam Institute for Medicines, Molecules and Systems (AIMMS) at the Vrije Universiteit Amsterdam we have set up tools and defined best practices for management of data from the wet lab. We have reviewed several tools, chosen one, and set up a pilot with real users and real data. Although the results were satisfying and the tools do what they promised to do, we identified several aspects that need improvement. We want to share our experiences with others and discuss what is needed to facilitate data management in the wet lab in the near future.
BioSB 2019Registration website for BioSB 2019
BioSB 2019BioSB 20190.00EUROnlineOnly2019-01-01T00:00:00Z
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