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Genome modeling and design across all domains of life
An awesome repository of community-curated applications of ChatGPT and other LLMs im computational biology
Rapid & standardized annotation of bacterial genomes, MAGs & plasmids
Discovery of conserved gene clusters in multiple genomes
Parse multiple Antimicrobial Resistance Analysis Reports into a common data structure
📦 🐳 Dockerfiles and documentation on tools for public health bioinformatics
MCL, the Markov Cluster algorithm, also known as Markov Clustering, is a method and program for clustering weighted or simple networks, a.k.a. graphs.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
👁️ Python library to plot DNA sequence features (e.g. from Genbank files)
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A unifying framework for biomedical research knowledge graphs
Examples and guides for using the OpenAI API
Machine Learning University: Accelerated Natural Language Processing Class
Collection of bioinformatics training materials
Curated Metagenomic Data of the Human Microbiome
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
Graph Neural Network Library for PyTorch
bioBakery workflows is a collection of workflows and tasks for executing common microbial community analyses using standardized, validated tools and parameters.
MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data
A flexible pipeline for complete analysis of bacterial genomes
Build a partitioned pangenome graph from microbial genomes
DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.
A repository for mathematics, machine learning and deep learning formula sheets created by Fady Morris
This guide is an opinionated set of tips and best practices for working with the AWS Cloud Development Kit
GTDB-Tk: a toolkit for assigning objective taxonomic classifications to bacterial and archaeal genomes.