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  1. Recovering genes from targeted sequence capture data

    Python 40 27

  2. Pipeline to run structure on multiple values of K, summarize results with CLUMPP, and create barplot in R

    4 2

  3. Visualizing gene tree conflict using Phyparts, and ETE3

    Jupyter Notebook 5 2

  4. Developing an app to demonstrate phylogenetic comparative methods in R.

    R 4

  5. Tutorials and materials for planning a HybSeq project, processing sequences, and conducting phylogenomic analyses.

    Python 6 7

  6. Helper scripts for processing and visualization of phylogenetics datasets

    Jupyter Notebook 6 4

27 contributions in the last year

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Contribution activity

January 2020

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