GSC Branding
Files and the story behind the design
Art is science in love.
— E.F. Weisslitz
contents
- 1 · Logo
- 1.1 · Download logo files
- 1.2 · Lettermark badge
- 1.3 · Lettermark
- 1.4 · Combination mark — vertical, centered
- 1.5 · Combination mark — vertical, left-aligned
- 1.6 · Combination mark — horizontal
- 1.7 · PHSA and GSC Combination mark — vertical, centered
- 1.8 · PHSA and GSC Combination mark — vertical, left-aligned
- 1.9 · PHSA and GSC Combination mark — horizontal
- 1.10 · ASCII
- 1.11 · Story behind the logo
- 2 · Color palette
- 2.1 · Color table
- 2.1.1 · Primary colors
- 2.1.2 · Secondary colors
- 2.1.3 · Tertiary colors
- 2.1.4 · Neutral warm colors
- 2.1.5 · Neutral cool colors
- 2.2 · Download color files
- 3 · Desktop background
There are five logo formats: letterform badge (for tight spaces), letterform, and combination form (vertical centered, vertical left and horizontal).
Don't shrink the artwork. Don't change its aspect ratio.
Each has a minimum size for physical reproduction that ensures that that the combination form font size is at least 8 pt. These sizes are listed below.
At minimum size, the size of the “GSC” letters is
The logo files (PNG 2400dpi, PDF, SVG) for each logo type are provided at the corresponding minimum size.
The only time you need to worry about minimum size is when composing on letter (or smaller) artboards.
Use in tight spaces when the light has gone out.
For normal scenarios.
For cases where a center axis is desired.
For cases where layout demands a left beginning.
For cases where vertical space is lacking.
For cases where a center axis is desired.
The GSC is a programme of our parent organization, the Provincial Health Services Authority (PHSA).
The PHSA logo is scaled so that the height of the province is the same as the height of the GSC lettermark. For details about PHSA branding, see the PHSA branding guidelines.
For cases where layout demands a left beginning.
For cases where vertical space is lacking.
A variety of ASCII logos: 24 30 38 45 52 60 67 74 80 columns.
Below is the 80-column version of our logo.
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#@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@7
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J@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@&.
:#@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@J
^G@@@@@@@@@@@@@@@@@@@&J^G@@@@@@@@@@@@@@@@@@@&?~G@@@@@@@@@@@@@@@@@@@&?.
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.:^~!~~^. .:^~~~~^. .:^~~~~^.
Our logo is based on the geometry of human chromosome 19.
This chromosome contains many genes essential to all forms of life and is our most conserved chromosome across species.
It is also most densely packed with genes that are causally implicated in cancer and listed in the Cancer Gene Census. The chromosome has 6% of CGC genes (43/759) but comprises only 2% of the genome. Its CGC gene density is 0.73 genes/Mb — 130% denser than the next densest chromosome (17).
Read the full story behind the design.
Energetic, but grounded.
I've selected the colors based on how they look in my Pantone Solid Uncoated (PMS U) color book.
Lab and RGB values are from Pantone Solid Uncoated v5. CMYK conversions are from Pantone Bridge Uncoated (UP) v5.
LCH is cylindrical Lab. You can use this space to alter perceptual lightness (L) and saturation (chroma, C) for applications where quantitative mapping to color is needed.
For logos, titles and top-level backgrounds.
4 shades of primary colors for accents.
For accents.
For contrast.
For cozy gray days.
For rainy gray days.
Symmetric alternatives to the ordinary least squares regression
What immortal hand or eye, could frame thy fearful symmetry? — William Blake, "The Tyger"
This month, we look at symmetric regression, which, unlike simple linear regression, it is reversible — remaining unaltered when the variables are swapped.
Simple linear regression can summarize the linear relationship between two variables `X` and `Y` — for example, when `Y` is considered the response (dependent) and `X` the predictor (independent) variable.
However, there are times when we are not interested (or able) to distinguish between dependent and independent variables — either because they have the same importance or the same role. This is where symmetric regression can help.
Luca Greco, George Luta, Martin Krzywinski & Naomi Altman (2025) Points of significance: Symmetric alternatives to the ordinary least squares regression. Nat. Methods 22:1610–1612.
Beyond Belief Campaign BRCA Art
Fuelled by philanthropy, findings into the workings of BRCA1 and BRCA2 genes have led to groundbreaking research and lifesaving innovations to care for families facing cancer.
This set of 100 one-of-a-kind prints explore the structure of these genes. Each artwork is unique — if you put them all together, you get the full sequence of the BRCA1 and BRCA2 proteins.
Propensity score weighting
The needs of the many outweigh the needs of the few. —Mr. Spock (Star Trek II)
This month, we explore a related and powerful technique to address bias: propensity score weighting (PSW), which applies weights to each subject instead of matching (or discarding) them.
Kurz, C.F., Krzywinski, M. & Altman, N. (2025) Points of significance: Propensity score weighting. Nat. Methods 22:638–640.
Happy 2025 π Day—
TTCAGT: a sequence of digits
Celebrate π Day (March 14th) and sequence digits like its 1999. Let's call some peaks.
Crafting 10 Years of Statistics Explanations: Points of Significance
I don’t have good luck in the match points. —Rafael Nadal, Spanish tennis player
Points of Significance is an ongoing series of short articles about statistics in Nature Methods that started in 2013. Its aim is to provide clear explanations of essential concepts in statistics for a nonspecialist audience. The articles favor heuristic explanations and make extensive use of simulated examples and graphical explanations, while maintaining mathematical rigor.
Topics range from basic, but often misunderstood, such as uncertainty and P-values, to relatively advanced, but often neglected, such as the error-in-variables problem and the curse of dimensionality. More recent articles have focused on timely topics such as modeling of epidemics, machine learning, and neural networks.
In this article, we discuss the evolution of topics and details behind some of the story arcs, our approach to crafting statistical explanations and narratives, and our use of figures and numerical simulations as props for building understanding.
Altman, N. & Krzywinski, M. (2025) Crafting 10 Years of Statistics Explanations: Points of Significance. Annual Review of Statistics and Its Application 12:69–87.