COBRApy is a package for constraint-based modeling of metabolic networks.
systems-biology 开源项目推荐(792 个)
systems-biology 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 792 个仓库化学反应网络与系统生物学接口,用于科学机器学习(SciML)。高性能、GPU并行化和开源软件中的O(1)求解器。
Curated (meta)list of resources for Biology.
python Parameter EStimation TOolbox
💎 An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
INDRA(集成网络与动态推理汇编器)是一个自动化模型汇编系统,与 NLP 系统和数据库对接以收集知识,并通过汇编过程生成因果图和动态模型。
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
Python framework for Systems Biology modeling
Python package to study microbial communities using metabolic modeling.
PANDORA 💻
🌶️ An ecosystem in Python for working with the Biological Expression Language (BEL)
The consensus GEM for Saccharomyces cerevisiae
用于基因组规模模型重建、整理和分析的 RAVEN 工具箱。此仓库包含 RAVEN 2.x;RAVEN 3 在 CompMetEng/RAVEN 中开发。
COPASI 是一款用于生化网络及其动力学模拟与分析的软件应用。
General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
Physics-first, uncertainty-honest in-silico cell and drug-response simulator (Python). Validated docking/ADMET input layer (Vina, OpenFF, xTB), cell-level PK/PD modules, and a cell/colony engine under construction toward a validated interactive dish.
Automated generation of tailored bioinformatics Jupyter Notebooks via a user interface.
A Python framework for structural systems biology
For finding, sharing and exchanging Data, Models, Simulations and Processes in Science.
Toolbox for including enzyme constraints on a genome-scale model. This repository holds GECKO 3.x; GECKO 4 is developed in CompMetEng/GECKO.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/systems-biology。
- 该话题在 GitHub 上共有 792 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4298 Star,覆盖 8 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。