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Poetry is just the evidence of life. If your life is burning well, poetry is just the ashLeonard Cohenburn somethingmore quotes


The Outbreak Poems — artistic emissions in a pandemic


communication + science

Nature Methods: Points of View

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Points of View column in Nature Methods. (Points of View)
1 | Krzywinski M 2016 Intuitive design Nat Methods 13:895.
2 | Krzywinski M 2016 Binning high-resolution data Nat Methods 13:463.
3 | Hunnicutt BJ & Krzywinski M 2016 Neural circuit diagrams Nat Methods 13:189.
4 | Hunnicutt BJ & Krzywinski M 2016 Pathways Nat Methods 13:5.
5 | McInerny G & Krzywinski M 2015 Unentangling complex plots Nat Methods 12:591.
6 | Streit M & Gehlenborg N 2015 Temporal Data Nat Methods 12:97.
7 | Lex A & Gehlenborg N 2014 Sets and Intersections Nat Methods 11:778.
8 | Streit M & Gehlenborg N 2014 Bar charts and box plots Nat Methods 11:117.
9 | Krzywinski M & Cairo A 2013 Storytelling Nat Methods 10:687.
10 | Krzywinski M & Savig E 2013 Multidimensional Data Nat Methods 10:595.
11 | Krzywinski M & Wong B 2013 Plotting symbols Nat Methods 10:451.
12 | Krzywinski M 2013 Elements of visual style Nat Methods 10:371.
13 | Krzywinski M 2013 Labels and callouts Nat Methods 10:275.
14 | Krzywinski M 2013 Axes, ticks and grids Nat Methods 10:183.
15 | Wong B 2012 Visualizing biological data Nat Methods 9:1131.
16 | Wong B & Kjaegaard RS 2012 Pencil and paper Nat Methods 9:1037.
17 | Gehlenborg N & Wong B 2012 Power of the plane Nat Methods 9:935.
18 | Gehlenborg N & Wong B 2012 Into the third dimension Nat Methods 9:851.
19 | Gehlenborg N & Wong B 2012 Mapping quantitative data to color Nat Methods 9:769.
20 | Nielsen C & Wong B 2012 Representing genomic structural variation Nat Methods 9:631.
21 | Nielsen C & Wong B 2012 Managing deep data in genome browsers Nat Methods 9:521.
22 | Nielsen C & Wong B 2012 Representing the genome Nat Methods 9:423.
23 | Gehlenborg N & Wong B 2012 Integrating data Nat Methods 9:315.
24 | Gehlenborg N & Wong B 2012 Heat maps Nat Methods 9:213.
25 | Gehlenborg N & Wong B 2012 Networks Nat Methods 9:115.
26 | Shoresh N & Wong B 2012 Data exploration Nat Methods 9:5.
27 | Wong B 2011 The design process Nat Methods 8:987.
28 | Wong B 2011 Salience to relevance Nat Methods 8:889.
29 | Wong B 2011 Layout Nat Methods 8:783.
30 | Wong B 2011 Arrows Nat Methods 8:701.
31 | Wong B 2011 Simplify to clarify Nat Methods 8:611.
32 | Wong B 2011 Avoiding color Nat Methods 8:525.
33 | Wong B 2011 Color blindness Nat Methods 8:441.
34 | Wong B 2011 The overview figure Nat Methods 8:365.
35 | Wong B 2011 Typography Nat Methods 8:277.
36 | Wong B 2011 Points of review (part 2) Nat Methods 8:189.
37 | Wong B 2011 Points of review (part 1) Nat Methods 8:101.
38 | Wong B 2011 Negative space Nat Methods 8:5.
39 | Wong B 2010 Gestalt principles (part 2) Nat Methods 7:941.
40 | Wong B 2010 Gestalt principles (part 1) Nat Methods 7:863.
41 | Wong B 2010 Salience Nat Methods 7:773.
42 | Wong B 2010 Design of data figures Nat Methods 7:665.
43 | Wong B 2010 Color coding Nat Methods 7:573.

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news + thoughts

"This data might give you a migrane"

Tue 06-10-2020

An in-depth look at my process of reacting to a bad figure — how I design a poster and tell data stories.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
A poster of high BMI and obesity prevalence for 185 countries.

He said, he said — a word analysis of the 2020 Presidential Debates

Thu 01-10-2020

Building on the method I used to analyze the 2008, 2012 and 2016 U.S. Presidential and Vice Presidential debates, I explore word usagein the 2020 Debates between Donald Trump and Joe Biden.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Analysis of word usage by parts of speech for Trump and Biden reveals insight into each candidate.

Points of Significance celebrates 50th column

Mon 24-08-2020

We are celebrating the publication of our 50th column!

To all our coauthors — thank you and see you in the next column!

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance: Celebrating 50 columns of clear explanations of statistics. (read)

Uncertainty and the management of epidemics

Mon 24-08-2020

When modelling epidemics, some uncertainties matter more than others.

Public health policy is always hampered by uncertainty. During a novel outbreak, nearly everything will be uncertain: the mode of transmission, the duration and population variability of latency, infection and protective immunity and, critically, whether the outbreak will fade out or turn into a major epidemic.

The uncertainty may be structural (which model?), parametric (what is `R_0`?), and/or operational (how well do masks work?).

This month, we continue our exploration of epidemiological models and look at how uncertainty affects forecasts of disease dynamics and optimization of intervention strategies.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Uncertainty and the management of epidemics. (read)

We show how the impact of the uncertainty on any choice in strategy can be expressed using the Expected Value of Perfect Information (EVPI), which is the potential improvement in outcomes that could be obtained if the uncertainty is resolved before making a decision on the intervention strategy. In other words, by how much could we potentially increase effectiveness of our choice (e.g. lowering total disease burden) if we knew which model best reflects reality?

This column has an interactive supplemental component (download code) that allows you to explore the impact of uncertainty in `R_0` and immunity duration on timing and size of epidemic waves and the total burden of the outbreak and calculate EVPI for various outbreak models and scenarios.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Nature Methods Points of Significance column: Uncertainty and the management of epidemics. (Interactive supplemental materials)

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: Uncertainty and the management of epidemics. Nature Methods 17.

Background reading

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: Modeling infectious epidemics. Nature Methods 17:455–456.

Bjørnstad, O.N., Shea, K., Krzywinski, M. & Altman, N. (2020) Points of significance: The SEIRS model for infectious disease dynamics. Nature Methods 17:557–558.

Cover of Nature Genetics August 2020

Mon 03-08-2020

Our design on the cover of Nature Genetics's August 2020 issue is “Dichotomy of Chromatin in Color” . Thanks to Dr. Andy Mungall for suggesting this terrific title.

Martin Krzywinski @MKrzywinski mkweb.bcgsc.ca
Dichotomy of Chromatin in Color. Nature Genetics, August 2020 issue. (read more)

The cover design accompanies our report in the issue Gagliardi, A., Porter, V.L., Zong, Z. et al. (2020) Analysis of Ugandan cervical carcinomas identifies human papillomavirus clade–specific epigenome and transcriptome landscapes. Nature Genetics 52:800–810.