If you're coming to the Bioinformatics round table please don't forget to enter your participation under the link:
https://www.termino.gv.at/meet/en/p/dc7f8e4704cb81c3754dd94759b70307-199960
Thanks in advance.
Best regards,
Slave
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Slave Trajanoski, Phd
Senior Scientist Bioinformatics
CF Computational Bioanalytics, Center for medical research
Medical University Graz
Neue Stiftingtalstraße 6-West, Turm/Stiege:P, 4.Stock
8010 Graz
Tel. +43 316 385 73024
E-Mail: slave.trajanoski(a)medunigraz.at<mailto:slave.trajanoski@medunigraz.at>
Dear Colleagues,
we’re starting with our bioinformatics round table series for this year on 22 March 2023 from 12.00 until 13.45 at ZMF Seminar room EG86/87.
You can attend it also over WebEx using the link: https://medunigraz.webex.com/medunigraz-en/j.php?MTID=mb47ac2fa9cc19cbb6e3b…
Since we’re organizing sandwiches as usual please enter your presence under the link:
https://www.termino.gv.at/meet/en/p/dc7f8e4704cb81c3754dd94759b70307-199960
In our meeting we’ll have two speakers presenting their work.
1. Machine listening in medicine: Is speech the new blood? Florian Pokorny
2. Data Wrangling in the Fast Lane: A Tool Comparison and Live Demonstration with RNASeq Data Natalie Bordag
Use case: You have data with new structure and want to easily explore what to do with it. For that you want to find inconsistencies, explore outliers/connections in multiple plots, visualize subsets, merge/anneal multiple sources, tidy up entries, test filtrations, test calculated values, try transformations/normalizations/scaling and generate ideas on how to best continue with data analysis.
Introduction: interactive data wrangling with previews and quick visualizations in dashboards enable data drill down and fast prototyping, this saves tons of times to R/Python
Criteria for beauty contest:
• functionality (joins, pivots, calculations, filtration, interactive)
• plot types (trellis/facet, interactive highlights)
• performance, response times
• GUI intuitiveness, preview of operations, time to learn
• reusability of workflows, sharing
• Cost, data security, infrastructure (local/server)
Results benchmarked against Tibco Spotfire
Live demonstration with medium-complexity example (RNASeq data QC)
Besides the two presentations there are additional points on our agenda:
1. Integration of the new powerful GPU node in MedBioNode cluster
2. Announcement JupyterHub server
3. Switching RStudio server over secure connection rstudio.medunigraz.at
4. IT-Infrastructure (Current State, Needs, future plans)
Thanks very much in advance for your interest and cooperation.
Best regards,
Slave
--
Slave Trajanoski, Phd
Senior Scientist Bioinformatics
CF Computational Bioanalytics, Center for medical research
Medical University Graz
Neue Stiftingtalstraße 6-West, Turm/Stiege:P, 4.Stock
8010 Graz
Tel. +43 316 385 73024
E-Mail: slave.trajanoski(a)medunigraz.at<mailto:slave.trajanoski@medunigraz.at>
