• Show off your data! Visualizations in Python, Julia, and R

    Online event

    A good plot says more than a thousand words. If you have good data and results, your really need to find a way to show it off. But what's the best way? Hard to tell! That's why we are going to look at several ways in Python, R and Julia to give you choice. We will look at standard examples and compare various libraries for ease of use, available plot types and so on. The presentation will take approx 90 minutes (approx. 30 mins per language) followed by Q&A and discussion.

    The presentation of the online meeting will be recorded and published.

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  • Polyglot (Data)Science with ease

    Online event

    The invitation is open to everyone to join us for our first online meetup!
    The presentation will be recorded (screen share of the presenter plus audio) and will be published later.

    With increasing data complexity, the need for more complex pipelines rise and along with this, the number of needed tools swell as well. Thus, one must look how use the available tools / languages to create synergies.

    In this talk, I will use SoS (Script of Scripts) Notebooks with custom language modules (Python, R, Java, Julia) to showcase such synergies (eg. plot data from R in Julia), and how to use the polyglot notebooks to get the best out of multiple languages.

    The talk will cover the basics of the SoS polyglot kernel, and in the second part will showcase the added features of the custom language modules.

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  • Data Hub Project - Reusable notebooks for Data Science / Bioinformatics

    Gerhardt Informatik

    We would like to invite you to our first meetup of 2020. As always, participation is free, and snacks and refreshments will be served. The presentation will be held by Nandor Poka about the DataHub Project.

    The DataHub Project is a newly started (soon to open sourced) project that allows users to use a predefined environment for Bioinformatics and DataScience. It was launched in early February 2020.

    The project is backed by JupyterHub, JupyterLab and the Jupyter Notebook underneath all. If you are not familiar with these, then it is a great opportunity to learn how to use them. For those who already use Jupyter, the meetup offers some deeper insight into how to tweak the config, and what can you achieve using the Data Hub Project.

    It is still under active development, with a long list of upcoming features. Some of these are:

    - providing GUI for cli tools via widgets
    - providing interactive visualizations that are web ready and also publication quality
    - a collection of best-practice solutions for common tasks to be shared by all users
    ... many more

    This talk will make an introduction of the project and invite attendees to use, test, and even participate in the development of the project.

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  • Workhop - Python for Data Science and Bioinformatics

    Gerhardt Informatik

    Clean data yields clean results, no argument here.
    But if you are new to either Bioinformatics, Data Science or Python (or any of those), it's not straightforward where to begin.

    There are lots of packages out there in the Python ecosystem, and it's not easy to choose the right ones.

    During this workshop, we will perform basic data cleanup, that can be applied in any field of science and simple bioinformatics tasks with Python on real-life data. You can bring your own data and work on that if you like :)

    We will do quick peeks into numpy and pandas two big ptyhon packages that support scientific computation. Addition to these we will also look at PyBio, BioPython and Bioconda that are more Bioinformatics specific.

    Please bring your laptops with Python 3, jupyter-notebooks / jupyter lab, pandas and NumPy installed. Recommended to install Anaconda that has all of these included together with other useful python packages.
    For ease of use it is recommended to create a separate conda / python environment.

    Detailed guide to install Anaconda can be found here:
    https://docs.anaconda.com/anaconda/install/

    For the second part of this workshop we will use
    - PyBio : https://github.com/grexor/pybio
    - BioPytohon: https://biopython.org/
    - BioConda: https://bioconda.github.io/

  • AI / ML in Medicine and Bioinformatics

    Gerhardt Informatik

    The invitation for the event is open to everyone who is interested. We have limited room available, thus we have to limit the number of attendees to 15. Please use the RSVP if you wish to join us! Attendance is free of charge, and we will have snacks, drinks :)

    AI / ML in Biology in Medicine / Bioinformatics

    The application of Artificial Intelligence (and related methods such as Deep Learning) are becoming more widespread by each day. Neural networks can inherently learn hidden correlations that is not trivial to understand even for experts. In this talk we will show examples from Medicine and Bioinformatics, where AI has been or could be used to obtain new results.

    The talk is held by the host (Dr. Nandor Poka) and is intended for members of both the computer world and life / medical sciences .

  • Big Data in Biology & Medicine

    Gerhardt Informatik

    The invitation for the event is open to everyone who is interested. We have limited room available, thus we have to limit the number of attendees to 15. Please use the RSVP if you wish to join us! Attendance is free of charge, and we will have snacks, drinks :)

    Big Data in Biology & Medicine

    Big Data is everywhere you look, and is a hot topic these days. Everybody talks about IoT, user data, customer experience, log crunching, etc., etc. However, you don't hear much about medical data, biology and alike. We would like to give a quick tour into the world of medical and biological data from the Big Data aspect. We will look at it from both the Computer Science and Biology / Medical side.

    The talk is held by the host (Dr. Nandor Poka) and is intended for members of both the computer world and life / medical sciences .

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  • General foundation meeting

    Gerhardt Informatik

    Proposed Program

    17:00 - 17:15 Arrival
    17:15 - 17:45 Welcoming and Introduction (members and to the topic)
    17:45 - 18:30 General discussion about aims and expectations of the group

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