Guan06

large-language-models

Get an introduction to how large language models work, and how to get up and running quickly.

FBA_OLISSIPO_Winter_School

Bio-Jobs

A list of positions (mostly biology-related) open to apply

COVID-19_Vaccination_GM

Rbec

ggkegg

Analyzing and visualizing KEGG information using the grammar of graphics

CD-MRG-metabolomics_summerschool_2023

This repository contains teaching material for the 3rd International Summer School on Non-Targeted Metabolomics Data Mining for Biomedical Research

thesis

University of Cambridge PhD thesis

gget

🧬 gget enables efficient querying of genomic reference databases

bash-workbench

BASH Workbench

CSIS

Code Safety Inspection Service

SymbNET

Teaching materials for SymbNET course: from MAGs to GEMs

teaching

SuperExactTest

Statistical testing and visualization of mult-set intersections

crsphere

Cr-SPHERE

MPIPZ_microbe-host_homeostasis

Scripts and results for RNA-Seq and 16S data analysis.

Metabolomics_ML

smetana

SMETANA: a tool to analyse interactions in microbial communities

metaGEM_paper

Repo housing :gem: metaGEM paper results

genomescope

Fast genome analysis from unassembled short reads

metaGEM

:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

r-color-palettes

Comprehensive list of color palettes available in R ❤️🧡💛💚💙💜

FlashWeave.jl

Inference of microbial interaction networks from large-scale heterogeneous abundance data

fastspar

Rapid and scalable correlation estimation for compositional data

emp

Code repository of the Earth Microbiome Project.

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)