User Meetings

Datagrok is an extremely flexible platform. There are multiple different ways to extend it, including developing and reusing database queries visually or manually, seamlessly integrating with functions written in R, Python, or Julia, or developing scripts, functions, viewers, or applications using the JavaScript API. All of these extension points could be stored in the source control systems in the form of packages, allowing organizations to manage versions, privileges, dependencies, and target audience on a per-package basis.

While the platform itself is proprietary, we intend to provide free licenses for academia, as well as for individual non-commercial use. We are growing an open-source ecosystem of Datagrok extensions that include scientific methods, visualizations, predictive models, connectors to public and private data sources, and applications.

To bring the development community together, we are starting a series of meetings focused around extending the platform. The meetings are open to everyone, but will be most useful for developers or power users comfortable with writing scripts (there will be separate “office hours” for users). There will be a natural progression - we will start with the basics such as describing the platform possibilities, API basics, setting up the environment, and then moving on to more complex things. With time, we hope there will be guest speakers as well. In addition to learning how to extend Datagrok, this is also your chance to influence the way the platform is evolving!

The meetings will be held every two weeks on Fridays 9am-10:30am EST, starting on May 8th. Each session will be recorded and made available publicly as a reference material and to make on-boarding new developers easier. There will be a separate topic on this forum created for each meeting in advance, so that we could suggest topics before, and keep discussing them after the meeting.

Shoot me an email (askalkin@datagrok.ai) if you want to get an invitation for the series, or join with Zoom





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Now that we have introduced you to the basics of the Datagrok platform in the previous six meetings (see our YouTube channel), it’s time to switch to a different format with the focus on the real-world use cases - guest speakers are more than welcome! We will also be discussing new core features and extensions.

We will be meeting every four weeks on Fridays at 9AM ET. Each session will be recorded and made available publicly as a reference material and to make on-boarding new developers easier. See up-to-date details and discussions on our community forums. The meetings are open to everyone, feel free to forward the invitation.

https://us04web.zoom.us/j/79299383368?pwd=UkNrQm80by9sS2FYd0lDcjJKdEpKdz09

See you there!
-Andrew

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Meeting 5: Data Visualization (part 2)

The fifth community meeting took place on Friday, July 31st, 2020, and we continued the discussion about data visualization.

We gave a brief overview of all core Datagrok viewers: scatter plot, histogram, line chart, bar chart, pie chart, trellis plot, matrix plot, 3d scatter plot, density plot, parallel coordinates plot, word cloud, network diagram, box plot, tree map, heat map, statistics, correlation plot, calendar, spreadsheet, markup viewer, tile viewer, form, google map, and shape viewer.

We also showed how to use Jupyter notebooks for visualization purposes. Additionally, we showed a way to process data in Jupyter notebooks, return the results to the platform, and use notebooks to create reproducible, discoverable functions.

The topics were the following:

The video is available on our channel:

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Meeting 6: Predictive modeling

The sixth community meeting took place on Friday, August 28th, 2020. We highlighted the platform’s predictive modeling functionality and covered to following topics:

The video is available on our channel:

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Meeting 7: ChaRPy, MedChem Browser, Octave

The seventh meeting took place on Friday, September 11th, 2020. We discussed some customer use cases, as well as new additions to the platform.

The topics were the following:

The video is available on our channel:

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Meeting 8: DSP with WASM, Metadata search engine, Debugging packages

The eighth meeting took place on Friday, October 9th, 2020. In this meeting, we have covered a wide range of topics, from digital signal processing implemented in browsers using WebAssembly technology to a search engine prototype for file metadata and unstructured data and developer tools.

The topics were the following:

The video is available on our channel:

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Meeting 9: Advanced filtering, Natural Language Processing

The ninth meeting took place on Friday, November 13th, 2020. The Datagrok team presented advanced filtering capabilities and new features designed for working with textual data. We discussed the following topics:

As usual, the video is available on our channel:

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Meeting 10: Chem, Biosignals, Files

The 10th meeting took place on Friday, April 24th, 2021. We discussed recent cheminformatics and biosignal processing developments and presented new features for platform users and developers. The topics were the following:

  • Cheminformatics: overview, recent features, roadmap
  • Biosignals: package introduction, Physionet annotations file viewer, dynamic scripting capabilities for constructing signal processing pipelines
  • UX features: files and folders sharing, Home folders, Typescript support, IntelliSense, and async in the JS Fiddler
  • Datagrok: new features, roadmap, miscellaneous

The video is available on our channel:

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Meeting 11: ClinicalCase, Activity Cliffs, Function View, Bioinformatics

The 11th meeting took place on Friday, July 16th, 2021. In this session, the Datagrok team presented three new packages in clinical data study, cheminformatics, and bioinformatics, either already in production use or active development. This demo came along with showcasing new features for the convenient utilization of Datagrok functions.

The topics were the following:

The video is available on our channel:

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Meeting 12: PowerPack, Peptides, UI Kit, Tutorials, New Viewers’ Features, Query Cache

The 12th meeting took place on Friday, October 8th, 2021. In this session, the Datagrok team covered a wide range of topics, from new platform extensions, such as PowerPack and Tutorials, to Figma UI Kit and script editor add-ons that make it easy to build interfaces, to new tools for bio- and cheminformatics and updates on infrastructure and core viewers’ functionality.
Our topics were the following:

The video is available on our channel:

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Meeting 13: Packages, Sparklines, Macromolecules, HELM, Activity Cliffs

The 13th meeting took place on Friday, September 9th, 2022. This time, we covered the redesigned Plugin Manager, new exploratory data analysis capabilities, the emerging support for macromolecules, integration with HELM, and the Activity Cliffs analysis that is applicable for both small and large molecules.

Our topics were the following:

The video is available on our channel:

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Meeting 14: Frozen Rows and Columns, Visualization Improvements, Cheminformatics Improvements, Elemental Analysis & Radar Plot

The 14th meeting took place on Friday, December 2nd, 2022. We presented new features and recent improvements in visualization and cheminformatics and discussed Elemental Analysis using Radar Plot. The topics were the following:

The video is available on our channel:

https://www.youtube.com/watch?v=ALfaNcYFq80

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Meeting 15: Scaffold Tree, Docking and other Cheminformatics Updates, ADME-Tox, Dendrogram and Hierarchical Clustering, Grid Forms

The 15th meeting was held on Friday, February 24th, 2023. During the meeting, we presented several new features for visualization, prediction, and data summarization. Additionally, we shared a number of Cheminformatics updates and held discussions on future improvements.

Our topics were the following:

The video is available on our channel:

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Meeting 16: Compute, dose-response curves, Hierarchical Clustering of the molecules

On Friday, September 22nd, 2023, at our 16th meeting, we highlighted the following: rapid code operationalization for streamlined computations, browser-based solutions for differential equations and bioreactor modeling, insights into dose-response curves, and the introduction of interactive features to enhance our platform’s cheminformatics capabilities.

Our topics were the following:

The video is available on our channel:

Register for the next meetings here: LinkedIn

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Meeting 17: Matched Molecular Pairs, Sticky Meta, Docking, Hit Design

At our 17th meeting on Friday, March 22nd, 2024, we presented new methods, functionalities, and applications used in drug discovery, data management, and visualization. We delved into Matched Molecular Pairs analysis, demonstrated the capabilities of Sticky Meta and Docking functionalities, and presented the Hit Design application.

Our topics were the following:

The video is available on our channel:

Register for the next meetings here: LinkedIn

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User Meeting 18: Diff Studio, MLFlow integration, Dimensionality Reduction

On Friday, June 28th, 2024, we hosted our 18th User Meeting on YouTube. We introduced new methods and applications for data management and visualization. In particular, we presented the Diff Studio interactive differential equations solver and demonstrated the capabilities of MLFlow integration and dimensionality reduction.

Our topics were the following:

The video is available on our channel:

Register for the next meetings here: LinkedIn

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User Meeting 19: Lightweight predictive modeling, Calculated columns, Database-Explorer, Search-integrated queries

On Friday, September 27th, 2024, we held our 19th User Meeting on YouTube. We introduce Datagrok’s lightweight predictive modeling, showcasing model training with various datasets, auto-suggestions for models and hyperparameters, interactive visualizations, and smart validators. The session also covers calculated columns, data analysis flows, and advanced formula features. A demo of the Database Explorer highlights how to link data across large databases using identifier patterns, with examples from Chembl and Datagrok’s own DB. Finally, we demonstrate search-integrated queries for instant results and enhanced data accessibility.

We covered the following topics:

Lightweight predictive modeling:

Calculated columns:

Database-Explorer:

Search-integrated queries:

The video is available on our channel:

Register for the next meetings here: LinkedIn

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