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Achievement: Galaxy BrainAchievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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@tskit-dev @LohseLab @eu-parc

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  1. LohseLab/agemo LohseLab/agemo Public

    Laplace transformed coalescence time distributions

    Python 4 3

  2. tskit-dev/msprime tskit-dev/msprime Public

    Simulate genealogical trees and genomic sequence data using population genetic models

    Python 179 87

  3. LohseLab/gIMble LohseLab/gIMble Public

    A genome-wide IM blockwise likelihood estimation toolkit

    Jupyter Notebook 15 4

  4. runsmc runsmc Public

    tree-sequence-based likelihood computations under SMC

    Python

  5. GeneratingFunction GeneratingFunction Public

    Now named agemo. See new repo. Implementation of the Laplace Transform of the distribution of coalescence times for a given sample under a given (demographic) model as described in Lohse et al. (20…

    Python 1 1

  6. SweepsInTime SweepsInTime Public

    Repository containing all notebooks and scripts for Bisschop et al. 2020. Sweeps In Time.

    Mathematica 4 1