Open ephathaway opened 3 years ago
hi @ohbm/project-monitors: My project is ready!
Hello FLOW,
I'm Oren Civier from the AEDAPT project (Australian Electrophysiology Data Analytics PlaTform). Similarly to your platform, the AEDAPT platform will allow users to develop EEG/MEG/neurophysiology analysis pipelines and visualizations with cloud or on-premises server implementations. AEDAPT is based on the lightweight NeuroDesk platform, and thus, can even run on a personal computer. For centralised data management, we will interface with XNAT or BrainLife at first instance.
AEDAPT is not based specifically on Jupyter, but rather provides the user with a full-blown analysis desktop environment (which runs inside a container to provide scalability and reproducibility). Still, tools and libraries are loaded as nested containers, along the same lines of FLOW. For more information, see the Github of the underlying NeuroDesk/VNM platform on which AEDAPT is built: https://github.com/NeuroDesk/vnm/ We also have an ongoing BrainHack project to develop this infrastructure further: https://github.com/ohbm/hackathon2021/issues/2
Given that our projects have some parallels, but also some marked differences, I will be willing to explore opportunities to collaborate, and maybe also to complement each other's tools. More information on the scope of AEDAPT can be found here: https://www.internationalbraininitiative.org/news/australia-brain-data-commons-launches-pilot-project https://ardc.edu.au/news/new-data-projects-will-help-transform-australian-research/ (4th entry)
I tag my colleagues to AEDAPT in case they want to participate in the discussion: @DavidjWhite33 @willw1 @stebo85 @aswinnarayanan @TomEmotion
I'm also attending the BrainHack. My mattermost handle is orenciv
Good luck with your project, Oren
Hi @civier, thanks for reaching out!
You are right, our projects do have many similarities. I am interested in learning more about what your desktop analysis environment looks like. I will check out those links you sent. On AEDAPT, can users develop pipelines primarily or solely in Python? Or do you support other languages?
If you're interested in checking out the FLOW interface and playing with the Jupyter Notebooks integration, we can set you up with an account. Just send an email to ian.brown@bel.company and he can get you set up.
Dear @ephathaway
AEDAPT is mostly agnostic to languages and we also aim to support matlab based pipelines compiled and executed in the matlab runtime environment :)
FLOW and your eeg-workflows look awesome - would be cool to integrate these and contribute :)
Kind regards Steffen
@stebo85, nice! We would also like to add support for matlab pipelines, so that FLOW users can script with EEGLAB. Right now we are limited to Python though.
So, FLOW itself will be a paid product, so that code is closed source, but where we are really hoping to get some collaboration is on the eeg-workflows
public repo as well as expanding open-source EEG analysis tools in general. We have been partnering with the MNE-Python folks to expand their support for different file formats and we expect FLOW users to use MNE pretty heavily, as it is very easy to write scripts in the Juypter Notebooks environment.
As far as the scope of Brainhack, we would very much appreciate some feedback from your team on our eeg-workflows
repository. I think we have a good start, but we are still at the stage of figuring out what this will become. We would like to make it a useful resource for both FLOW users and non FLOW users. We have posted a few issues to get some interaction going. You may want to start there.
I can see opportunities for collaboration outside of Brainhack as well. I am going to go ahead and give you our CEO's email don.tucker@bel.company. We are working on a number of other products and research projects which you might find interesting, and I am sure he would be happy to give you more details and talk about collaboration opportunities.
Project info
Title: FLOW - Integrating EEG analysis scripts in a cloud-based database management system
Project lead: Evan Hathaway, [Ian Brown] (https://github.com/ianbrown9475)
Timezone: Los Angeles UTC-7
Description:
Brain Electrophysiology Laboratory is proud to present FLOW (Forward Looking Operations Workflow), an all-in-one solution for EEG database management, ERP analysis pipelines, and visualization with AWS cloud or on-premises server implementations. We use containerization technology to run ERP analysis Python scripts as modular units with I/O to the FLOW database, thus facilitating reproducibility across different stages of analysis. The containerization approach allows easy integration of existing analysis scripts, thus making FLOW an environment that can be adjusted to lab needs.
BEL aims to provide the community with the means to write their own EEG analysis workflows and share them with others. We are working to create an environment where researchers can pilot workflows in a live Jupyter Notebooks integration of FLOW, then convert these to streamlined FLOW workflows which can be shared with the community. Our project will help guide participants through creating, packaging, and containerizing analysis scripts using open source Python analysis tools and Docker. We will then demonstrate how these workflows can be integrated in FLOW for data management, analysis, and visualization through our Sourcerer software. We will do this via a live instance of FLOW that will be up throughout the course of the hackathon. We invite interested parties to try out FLOW for themselves in order to see what this software has to offer.
Link to project:
Mattermost handle: @ephathaway, @ianbrown9475
Goals for the OHBM Brainhack
Good first issues:
Skills:
Chat channel: https://mattermost.brainhack.org/brainhack/channels/brain-electrophysiology-laboratory---flow
Image for the OHBM brainhack website
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