Best Poster and Artwork Awards — VIZBI 2021: Visualizing Biological Data

The 11th international meeting on Visualizing Biological Data, best known as VIZBI, was held virtually this year. The conference was as exciting as always, filled with great discussions, an outstanding speaker line-up and of course amazing, beautiful visuals.

The participants had the chance to vote for their favourite scientific poster and artwork — a very tough choice as all of the works were truly amazing! Here, we present you the winners.

Best scientific poster

Building a whole cell in 3D

by  Martina Maritan (The Scripps Research Institute, USA) Ludovic Autin, Jonathan Karr, Markus Covert, Arthur Olson, David Goodsell.

Martina Maritan, The Scripps Research Institute, USA
Martina Maritan

Mesoscale 3D models are powerful tools for exploring structural data across the entire range of scales, from the molecular to the cellular level. We built structural mesoscale models of a whole Mycoplasma genitalium (MG) cell with the CellPACK suite using data generated from a whole-cell MG simulation. 3D models integrate structural details into a computational model of MG, highlighting specific properties of the ingredients, and creating snapshots of the cell at defined time points of the simulations. Our modeling process goes through three steps. Firstly, we assemble a recipe: a list of all the proteins of Mycoplasma associated with a structural representation. Secondly, we create a model of the genome with DNA, RNA, RNA polymerase, mRNA, and ribosomes, with user-defined location of RNA polymerase and length of transcripts. Thirdly, we assemble the nucleoid, soluble, and membrane ingredients, and relax the whole system to resolve steric overlaps. The result is a framework for interactive construction of atomic resolution mesoscale models describing a spatial view of a whole bacterial cell. Our models are the first atomistic representation of an entire bacterial cell.

Building a whole cell in 3D
Building a whole cell in 3D

View Martina Maritan’s poster
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Second best scientific poster

How to communicate cell behaviours visually

by Christian StolteCellarity, USA.

Christian Stolte, Cellarity, USA
Christian Stolte

Cellarity is pioneering a new approach to drug discovery, treating disease at the level of the cell as opposed to a single molecular target. Combining unique expertise in network biology, high-resolution single-cell sequencing data, and machine learning, the result is a new understanding of the cell’s trajectory from health to disease, and how cells relate to one another in tissues. The cell and its network of transcripts and proteins offer a more complete view of the complexity of human biology than any individual molecular target. To help communicate this, we use visualizations resembling a cityscape called ‘Cellarity maps’. Based on the UMAP dimensionality reduction technique, they use the third dimension (height) to show density. This creates landscapes where we can now use colour to encode additional dimensions, and make it easier to see different ‘cell behaviours.’

How to communicate cell behaviours visually
How to communicate cell behaviours visually

View Christian Stolte’s poster
Watch lighting talk

Best artwork

10 Hallmarks of cancer

by Karolína Kryštofová, Institute of Biophysics of the Czech Academy of Sciences, Czech Republic.

Karolína Kryštofová, Institute of Biophysics of the Czech Academy of Sciences Czech Republic
Karolína Kryštofová

A whimsical series of illustrations inspired by the hallmarks of cancer as described by Weinberg & Hanahan in their paper Hallmarks of cancer: the next generation (2011).

10 Hallmarks of cancer
10 Hallmarks of cancer

View Karolína Kryštofová’s artwork

Second best artwork

The human heart

by Philipp Dexheimer, Research Institute of Molecular Pathology, Austria.

Philipp Dexheimer, Research Institute of Molecular Pathology, Austria
Philipp Dexheimer

Inspired by Leonardo Da Vinci’s original way of depicting his science and ideas, this digital painting illustrates the 21st century research process to understand formation of such a delicate organ as the human heart. Cells are derived, self-organize into 3-dimensional organoid structures, and allow unique insight into heart development and physiology. Illustrating research described in: Hofbauer et al., BioRxiv, 2020 – Cardioids reveal self-organizing principles of human cardiogenesis.

The human heart

View Philipp Dexheimer’s artwork

If you’d like to take a look at all of the posters presented at VIZBI 2021, you can! Visit the poster gallery, dive into the science, enjoy the beautiful images and be amazed by the scientists’ visualization skills.

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How to visualise biological data

Isn’t it always the way? You have amazing results, but you can see your colleagues’ eyes glaze over when you try to explain it to them. Why not try to present your data in a visually appealing way, and make sure all eyes are on your work? 

 1.     Make the data speak for itself

When you start to think about visualising your data, try to make them as standalone as possible. If you are presenting the work – for example, on a poster at a conference – make sure the visualisation is clear and comprehensible, so that people can grasp the concept without you needing to stand there and explain it.  

2.     Ain’t nobody got time for that!

One thing you have to realise – people want information, and they want it fast! They’re not going to read the captions, they’re not going to read all the beautiful text you’ve written, so the more you can put directly on the visualisation to help people understand it, the better.

3.     Drama, darling!

When you start talking about creating illustrations for more broad communication other factors come into play – use dramatic elements, make it eye-catching, appeal to human emotion, make it relatable and appealing, or possibly even controversial! It needs to stir emotions!

4.     Determine your target audience

Obviously if you’re going to publish in a scientific journal it’s really important to be accurate, because you’re trying to communicate with peers who have a similar level of knowledge to you. If you’re on the front page of the New York Times it’s probably more important to engage people and get people interested.

5.     Understand the concept

If you’re looking at complex multivariable relationship start by looking at the individual variables, and make sure that you understand what’s going on at a low level before you try and do something more complex.

6.     Don’t skip the planning phase

Decide on the concept. Sketch your plan. Draw a storyboard. Record narration if required. Once these processes are done you can move onto the design, and then we go into the design, modelling and animation process – depending on which medium you’ve chosen for your visualisation.

7.     Find patterns
By visualising biological data, scientists can see patterns. Find these patterns and make them stand out, and in doing so you’ll be able to better communicate your ideas to others and get them excited about your science.

8.     Filter, map and render
There are 3 main steps to getting your work visualised:

  • First you filter the data to find exactly what you need
  • Then you map – this might be working out how the data corresponds to the spatial layout of the visualisation
  • Then it’s time to render – this is how you then encode the change or the signal on that map you have created.

9.     Keep it simple
Don’t try to put too much information in. Think about what needs to be removed to keep the message as concise and impactful as possible. It’s more important to get people excited about what you’re trying to show them than to convey every last detail 100% correctly.

10.  Determine your software
There are a number of tools out there that you can use to look at different types of data. Having visualisations that are done in Keynote or PowerPoint can be just as good as long as you know they’re useful.

Graphics programs such as the Adobe Illustrator Suite enable us to create a wide range of things. An excellent tool for scientists to create visualisations is a software program called R. It’s a programming language and an environment for interactive data science and data


 Get inspired!

Check out these pages for great visualisation!

https://vizbi.org/Posters/
https://beatascienceart.com/

 

Original video with Janet Iwasa, Hadley Wickham, Seán O’Donoghue and James Proctor

 

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