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Why Seeing Still Matters in Biology - the Node or, Why all biologists needs data visualization Biology probes form and function of Life. Form is easy to grasp: cells under a microscope, subcellular

Why Seeing Still Matters in Biology

@helenajambor.bsky.social addresses why all biologists need data visualisation. Read and discuss this topic on the Node. ⬇️

#DataVis #BioVis

thenode.biologists.com/why-seeing-s...

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see you in 1 hour! #BioVis #DataVis meetup

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BioVis Meetup #12: Crafting visual biomedical stories Title: Crafting visual biomedical stories

💥 First #BioVis meetup of 2026 💥
#DataVis

“Crafting visual biomedical stories“ with Laura Garrison, University of Bergen

- Virtual, no registration, link/more info:
biovis.net/2026/meetup/...
- Wednesday, 21. January, 5pm Berlin/4pm London

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SyBValS: a validation and error resolution service for biological pathway maps - BMC Genomics BMC Genomics - Effective visualization of relational data is essential for thorough analysis, including in biological research. Annotating and depicting biological models in universally recognized...

Our work "SyBValS: a validation and error resolution service for biological pathway maps" is now available in BMC Genomics
w/Yusuf Ziya Ozgul and Ugur Dogrusoz
doi.org/10.1186/s128...
@sbgnnews #biovis #bioinformatics #pathways

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Location: Join Zoom Meeting
https://tu-dresden.zoom-x.de/j/67863904836?pwd=mVqoyB6DlxAbFAtN7kx0Ka62KHFmUJ.1
Meeting ID: 678 6390 4836
Passcode: BioV!s2025

Cancer care is increasingly guided by precision data, such as patients metabolomic, genetic, transcriptomic, or immune status. This poses a challenge for clinicians to communicate treatment decisions. To bridge this gap we therefore developed, evaluated, and adopted visual treatment timelines for cancer patient education. Data visualizations help humans to understand data and are especially effective to communicate risks, uncertainties, or large data and have proven to be a suitable help in cancer communication. 
 
Recordings of previous talks are available:
https://youtube.com/playlist?list=PL5kIQRQ6TU8Ifu_5h2iipUmIKCqhs50zx&si=Smchvhyu6_cX6kjZ

Location: Join Zoom Meeting https://tu-dresden.zoom-x.de/j/67863904836?pwd=mVqoyB6DlxAbFAtN7kx0Ka62KHFmUJ.1 Meeting ID: 678 6390 4836 Passcode: BioV!s2025 Cancer care is increasingly guided by precision data, such as patients metabolomic, genetic, transcriptomic, or immune status. This poses a challenge for clinicians to communicate treatment decisions. To bridge this gap we therefore developed, evaluated, and adopted visual treatment timelines for cancer patient education. Data visualizations help humans to understand data and are especially effective to communicate risks, uncertainties, or large data and have proven to be a suitable help in cancer communication. Recordings of previous talks are available: https://youtube.com/playlist?list=PL5kIQRQ6TU8Ifu_5h2iipUmIKCqhs50zx&si=Smchvhyu6_cX6kjZ

⏰ tomorrow, Nov 18, 5pm Berlin/4pm London
“Data Vis for Cancer Patient Education“ - a #DataVis #BioVis talk

Link & Abstract: alt-text and also:
biovis.net/2025/meetup/ (right under picture)

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Announcement for talk: 
Artificial Intelligence (AI) has advanced at a rapid pace and is expected to revolutionize many biomedical applications. However, current AI methods are usually developed via a data-centric approach regardless of the usage context and the end users, posing challenges  for domain users in interpreting AI, obtaining actionable insights, and collaborating with AI in decision-making and knowledge discovery. 
In this talk, I discussed how this challenge can be addressed by combining interactive visualizations with interpretable AI. Specifically, I present two methodologies: 1) visualizations that explain AI models and predictions and 2) interaction mechanisms that  integrate user feedback into AI models. Despite some challenges, I will conclude on an optimistic note: interactive visual explanations should be indispensable for human-AI collaboration. The methodology discussed can be applied generally to other applications where human-AI collaborations are involved, assisting domain experts in data exploration and insight generation with the help of AI.

Announcement for talk: Artificial Intelligence (AI) has advanced at a rapid pace and is expected to revolutionize many biomedical applications. However, current AI methods are usually developed via a data-centric approach regardless of the usage context and the end users, posing challenges for domain users in interpreting AI, obtaining actionable insights, and collaborating with AI in decision-making and knowledge discovery. In this talk, I discussed how this challenge can be addressed by combining interactive visualizations with interpretable AI. Specifically, I present two methodologies: 1) visualizations that explain AI models and predictions and 2) interaction mechanisms that integrate user feedback into AI models. Despite some challenges, I will conclude on an optimistic note: interactive visual explanations should be indispensable for human-AI collaboration. The methodology discussed can be applied generally to other applications where human-AI collaborations are involved, assisting domain experts in data exploration and insight generation with the help of AI.

🚨 tomorrow, 15th of October* at 5pm Berlin/4pm
London
“Collaborating with Biomedical AI through Visual Explanations and Interactive Guidance“ - a #DataVis #BioVis talk by
Qianwen Wang, Univ Minnesota

Link: biovis.net/2025/meetup/ (right under picture)
Abstract: see alt-text

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#BioVis meetups 2025/26 start tomorrow, Sept 24th!

Zeynep H. Gümüş, Mount Sinai, NY:
“From Samples to Populations: Interactive Visualizations of Multi-Omics Data at Scale“

link biovis.net/2025/meetup/

All seminars Wed 5pm berlin/11am est, for updates: dm me for mailing list

#DataVis

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GitHub - husonlab/phylosketch2: Sketch phylogenetic trees and networks Sketch phylogenetic trees and networks. Contribute to husonlab/phylosketch2 development by creating an account on GitHub.

Daniel Huson - sketch, capture, and layout phylogenies using phylosketch2 github.com/husonlab/phy... #ISMBECCB2025 #biovis seems handy!

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Video

Understanding Life as a Fungus is now part of the exhibition [in]visible: The Art of Visualization in Science, at COSMO Wissenschaftsforum (Schloßstraße 2, 01067 Dresden).
The exhibition runs until August 6, 2025.
#ScienceArt #BioVis #DataVisualization #UnderstandingLifeAsAFungus #FungalNetwork

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Pretty picture of pretty students doing pretty things with data!
PS we should have organized us into a #RainbowColorPalette 🌈
#DataVisualization #BioVis 🧪📊

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.... but above all, in times like this, we should act local and help our communities. To protect against anti-science, false promises, and fascism.

Will make more #stickers, until then feel free to re-use my template CC0 FTW
#woodstock #FIJI #Bioimages #ImageJ #BioVis

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HiC plot - genomics exploration of DNA-DNA (?) interaction sites. Biological Science specific, image shows example plot used in publications

HiC plot - genomics exploration of DNA-DNA (?) interaction sites. Biological Science specific, image shows example plot used in publications

Do we have a name for this plot yet?
Technically a very, very, very large heatmap..? But mysteriously in an array of triangles ..

#BioVis #DataViz 🧪📊

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Call for Papers: Special Issue on Breakthroughs, Challenges, and Opportunities in Biological Data Visualization This special issue aims to highlight BioVis, and state-of-the-art solutions created by the vibrant BioVis community.

IEEE CG&A seeks submissions for its upcoming Sep 2025 special issue on Breakthroughs, Challenges, and Opportunities in Biological Data Visualization, with a submission deadline of March 24th, 2025. More info here: www.computer.org/digital-libr... #biovis #viz #dataviz

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Data visualisation for biology - Data visualisation for biology -

Are you a biologist interested in data visualisation to help you explore complex data or create effective visuals? If so, make sure to register for the course that we're organising at the EBI in June
www.ebi.ac.uk/training/eve...
#biovis #viz #dataviz

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IEEE Xplore Full-Text PDF:

Interesting paper by van den Brandt (TU/e): "Understanding Visualization Authoring Techniques for
Genomics Data in the Context of Personas and Tasks" ieeexplore.ieee.org/stamp/stamp.... #omics #dataviz #biovis

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Was looking up information on colourblind-safe colour schemes, and bumped (again) into this great write up by the ever-inspiring Martin Krzywinski on visualising biological data
mk.bcgsc.ca/biovis2012/k... It's from 2012 but still equally relevant #biovis #dataviz #genomics #plots

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My interests: #dataviz #omics #bioinformatics #biovis #microbiome

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Announcement online meetup: A picture of health: Visualisations in medical publishing. Showing logo of BioVis community, a stylized bar chart, and a picture of the speaker.

Announcement online meetup: A picture of health: Visualisations in medical publishing. Showing logo of BioVis community, a stylized bar chart, and a picture of the speaker.

🚨 next #BioVis #Dataviz virtual meetup:

Will Stahl-Timmins (The #BMJ) is joining us on Sept 18!
"A picture of health: Visualisations in medical publishing"

Details & Link:
biovis.net/2024/meetup/

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Picture of Kay Nieselt with seminar announcement information.

Picture of Kay Nieselt with seminar announcement information.

#HiSciSky 🧪
TOMORROW: 10AM EST BioVis meetup with Kay Nieselt!

Do you have lots and lots of multi-omics data you do not know how to visually communicate? Join to find out what Kay does about this!
biovis.net/2024/meetup/...
#DataVis #BioVis #SciComm #Bioinformatics

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Our #BioVis 2016 open-access paper on "Unboxing Cluster Heatmaps" is now up at (data at

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