BioDirLabClaw
An open-source skill library for autonomous biomedical research across bioinformatics, single-cell analysis, drug discovery, and literature workflows.
Causaly
A life science AI platform combining biomedical knowledge graphs, scientific search, and research copilots for R&D teams.
Owkin
An AI-biotech company combining patient data, biological reasoning models, and agentic systems for discovery and clinical programs.
AQEMIA
A pharmatech company combining deep physics and AI to accelerate small-molecule discovery.
Bioptimus
A company building biology foundation models, including widely discussed models for pathology and multimodal biology.
Xaira Therapeutics
An AI drug-discovery company building predictive and agentic models across the full discovery and development stack.
Latent Labs
A frontier AI lab building generative models for proteins, antibodies, and broader molecular biology design tasks.
Profluent
An AI-first protein design company using generative models for novel proteins and gene-editing systems.
Cradle
An AI protein-engineering platform used by biopharma and industrial bio teams to design and optimize protein candidates faster.
Chai Discovery
An AI drug-discovery company focused on molecule and antibody design with structure-aware models.
EvolutionaryScale
A frontier AI company building large protein models and generative systems for understanding and designing biology.
Beam Therapeutics
A biotechnology company focused on precision gene editing and base-editing therapeutics.
BioDir 收录什么
BioDir 按研究任务组织生命科学资源，覆盖数据库、期刊、实验方法、软件、公司和研究机构，帮助用户从搜索意图快速进入具体工具。
首页不仅展示最新和推荐资源，也提供按分类、标签和合集继续筛选的入口，让目录页承担发现、比较和导航三种角色。
- 按主题浏览基因组学、诊断、AI、生物企业等方向
- 直接跳转到具体资源页，查看简介、使用场景和相关条目
- 通过分类、标签和合集形成更清晰的实体关系
为什么这有助于搜索与引用
更明确的页面文案和层级标题可以帮助搜索引擎理解页面意图，也让 AI 搜索系统更容易判断 BioDir 是目录页、分类页还是具体资源页。
当页面同时提供结构化数据、实体名称、用途说明和相关关系时，LLM 更容易将页面作为可引用的来源，而不是只把它当作普通链接列表。
常见问题
BioDir 适合哪些人使用？
BioDir 面向研究人员、学生、实验室团队和生物技术从业者，适合在选型、调研和资源发现阶段使用。
首页展示的资源如何继续筛选？
可以从首页进入分类、标签和合集页，或直接使用搜索与排序功能缩小到具体研究方向和工具类型。
BioDir 与普通链接列表有什么不同？
BioDir 会将资源放入明确的分类与标签体系中，并为资源页补充简介、上下文和相关条目，便于搜索引擎与 AI 系统理解实体关系。