-
Julian Kunkel, Martin Leandro Paleico (GWDG)16/01/2023, 14:00
Introduction and motivation/goals for this workshop
Go to contribution page -
Martin Leandro Paleico (GWDG)16/01/2023, 14:15
Short presentation of the bioinformatic services services currently offered at the GWDG
Go to contribution page -
16/01/2023, 14:30
Alphafold is a recent popular tool for predictive protein folding. Due to its nature, it is a rather complex tool to install. For this reason, it benefits from the consistent and repeatable deployment made possible by container technology. An example from our own SCC.
Go to contribution page -
16/01/2023, 14:45
This is a project of the "Scientific Core Facility
Go to contribution page
Medical Biometry and Statistical Bioinformatics" where we designed a shiny app that our user then could use to fine-tune our analyses for their data. -
16/01/2023, 15:00
Privacy and security concerns play an increasingly important role when dealing with medical and other types of sensitive data common in the life sciences. How can safety be ensured when also needing to process data off-site? An example from our own HPC services.
Go to contribution page -
16/01/2023, 15:15
R_based machine learning models were trained on the GWDGs HPC services. These models aim to improve a diagnostic tool for autism. Rshiny was used to showcase the models in a webapp (https://msrlab.shinyapps.io/asd-ml-jcpp/). The webapp saves data to a postgresql server also provided by the GWDG.
Go to contribution page -
16/01/2023, 15:30
In this presentation I will briefly describe the functionality and modular implementation of our RAREFAN web service, an online tool
Go to contribution page
to find and analyse REPINs and RAYTs [1]. RAREFAN runs ontop the python flask framework and uses the redis queuing system to schedule jobs and manage task dependencies on a GWDG hosted cloud server. It drives a bioinformatic pipeline consisting of various self... -
16/01/2023, 15:45
DANCE (https://omicsml.ai/) is a PyTorch-based deep learning toolbox designed for single cell analysis. The goal of this framework is to help develop personalized deep learning models for analyzing single-cell data at scale.
Go to contribution page -
Martin Leandro Paleico (GWDG)16/01/2023, 15:45
-
16/01/2023, 16:00
It has been speculated that earth hosts ca. 1.5 million species of fungi. These organisms show great variety regarding their forms, living environments, and their interactions with other organisms as well. The implications of fungi in our health, industry, and in our economy, are being enormous for centuries; becoming even more prominent year by year. Therefore, it can be easily postulated...
Go to contribution page -
Martin Leandro Paleico (GWDG)16/01/2023, 16:30
Discussion of the user presentations
Go to contribution page -
Martin Leandro Paleico (GWDG)16/01/2023, 17:00
Collaborative elaboration of a roadmap and goals list for bioinformatics at the GWDG in the coming year.
Go to contribution page
Choose timezone
Your profile timezone: