Julia Haag's repositories
difficulty-prediction-training-data
Snakemake Pipeline to generate training data for predicting dataset difficulty
apricot
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
bioconda-recipes
Conda recipes for the bioconda channel.
cake_recipe_website
Website for all my recipes
conda-forge-pinning-feedstock
A conda-smithy repository for conda-forge-pinning.
derandomized-iqtree
NEW location of IQ-TREE software for efficient phylogenomic software by maximum likelihood http://www.iqtree.org
diary
website to store diaries and entries, for example for vacations or events
KIT-Summaries
Summaries for lectures I attended during my Bachelor and Master studies at KIT
EIG
Eigen tools by Nick Patterson and Alkes Price lab
juliahaag.de
My personal website.
ml-numerical-analysis
Data generation pipeline for analyzing the influence of numerical thresholds in ML phylogenetic inference tools
pomegranate-feedstock
A conda-smithy repository for pomegranate.
PyPhyUtils
Utility functions for phylogenetic inference tools
r-hmisc-feedstock
A conda-smithy repository for r-hmisc.
r-maps-feedstock
A conda-smithy repository for r-maps.
r-rcurl-feedstock
A conda-smithy repository for r-rcurl.
scikit-allel-feedstock
A conda-smithy repository for scikit-allel.
sepplishof.de
Website for my parents' holiday apartment
shap-feedstock
A conda-smithy repository for shap.
snakemake-on-slurm-clusters
Setup instructions to run a snakelike pipeline on a cluster using the Slurm Workload Manager
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks