Outline

General layout: landscape A1, divided into six boxes; title in top-middle

Target audience: people who might want to do things with tree sequences in python

Proposed collaboration structure: each box is a jupyter notebook that I put in latex at the last moment

Title box

• tskit logo
• very brief intro/description statement
• what's on the website
• emphasize that (a) it does stuff fast and quick, and (b) it gives us a time dimension
  • tagline: "launching your genomes into the time dimension"?
• how to contribute
• bigger ecosystem: what else uses tskit?

Visualization

pretty and useful things

Metadata

top-level metadata for all your recording needs

Interfaces and Interoperability

e.g., "find the trees with at least five nodes above time 100" or "compute the average number of siblings of "

• C, Rust, Python interfaces (also R via reticulate?)
• In-browser e.g. via pyodide/Jupyterlite - ideal for workshops/teaching!
• SLiM fwdpy11, msprime, tsinfer, ?relate
• Is an ARG library
• VCF output

statistics, descriptors

pi-along-the-genome, IBD blocks; cross-coalescent rates?

Notable new features

• Efficient array access (e.g. for numba)
• Tree metrics (balance/imbalance)
• Reference sequence and alignments
• Structural ops (e.g. decapitate)
• Parallelization?