Personal edition · setup guide
Install it on your own
Windows machine.
The personal edition runs on your own computer or a local machine, and the data stays there. Most users are on Windows: import the platform image through WSL and it runs, with files handled exactly as they are on Windows. The three videos below cover everything from import to IM access.
Before you start: machine requirements and getting the image
The personal edition moves the whole Linux environment onto your own machine — platform, conda environments, raw data and computation all run locally. Size the machine for real single-cell and spatial work, not for opening a web page.
| Item | Requirement | Notes |
|---|---|---|
| Operating system | Windows 10/11 with WSL2 | WSL2 must be enabled in Windows features first; video 01 shows how |
| Memory | 16 GB minimum, 32 GB recommended | 16 GB handles routine studies; single-cell work is memory-hungry — cell communication on 100,000 cells alone needs about 16 GB, so go to 32 GB for larger data |
| Disk | 300 GB free recommended | Holds the image, conda environments, raw data and intermediate results |
| CPU | 4 cores or more | More cores means faster parallel analysis |
| Image size | About 5 GB | Compressed; the imported environment takes more |
A weaker machine will still run it, but large datasets will hit memory limits — exactly the situation documented in the pain points Q&A.
Getting the image: after purchase we provide a download link via cloud storage. The archive password is www.cc-bioinfo.com. Once you have it, follow the three steps below.
Three steps to a working install
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Import the platform in WSL
Enable WSL on Windows, import the platform image we provide, and open cc-bioinfo in your browser once it starts. No separate server, and no manual R/Python environment setup.
Video 01 · WSL import and first start
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Configure ChatGPT and Claude
The platform is not tied to one model provider. Enter your own API key in settings to connect ChatGPT, Claude or another compatible service; a privately deployed model can also be configured so that all inference stays inside your network.
Video 02 · Model providers and API keys
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Connect WeChat and other IM channels
Once configured, you can send instructions and receive results and figures through WeChat, DingTalk, Feishu or Telegram — so you can follow a running job while away from the machine.
Video 03 · IM channel setup
What it looks like once connected · asking "project status" in Telegram returns all four phases and the core findings — a real progress report from the study in case two
If you hit a problem during setup, or want to see how it works first, email moogtang@gmail.com.