Login
About us
GinkgoDB

F A Q

Using this site

What browser shall I use?

This site is compatible with most major browser environments like Chrome, Safari and 360 (speed mode),etc. While the most updated 360 or Google Chrome is the most recommended. If you see the message "You are using a browser version with limited support for our site. For the best experience and full functionality, we recommend you use a more advanced Web browser" on the top of your page, update your browser or try another one.

Internet Explorer (IE) is NOT recommended. If you are using Internet Explorer (IE), make sure that your browser veision is greater than IE9, otherwise some functions cannot be implemented.

You can update your browser here:

How to apply for an account?

Since all published data and services on our website are aviliable to all users, an account is NOT needed when enjoying our web service. For further cooperation, please CONTACT US: iginkgo@zju.edu.cn

Data access

How to download data using FTP?

All published genetic data on our website are provided in FTP site. You can obtain those data with your browser or FTP client software via address https://ginkgo.zju.edu.cn/ftp/ or ftp://ginkgo.zju.edu.cn/ (may NOT supported by some browsers). A README file is provided in each directory, explaining the directory structure or data format.

Please be aware that some of these files can run to many gigabytes.

Why my browser cannot open the FTP page?

Starting with Chrome 80, Google began to abandon FTP support.In the current version of Chrome 81, FTP support is disabled by default. Therefore, you cannot open our FTP page: ftp://ginkgo.zju.edu.cn/. Here, we recommend several alternatives:

1. Use 360 browser that supports FTP.
2. Use a FTP client software, for example, FileZilla to connect ftp://ginkgo.zju.edu.cn/.
3. Try our HTTPS downloading site: https://ginkgo.zju.edu.cn/ftp/ that is supported by all browswes.

Citation

How to cite this website in my research?

Researchers who wish to use GinkgoDB are encouraged to refer to our publication or specific data sources:

Kai-Jie Gu, Chen-Feng Lin, Jun-Jie Wu, Yun-Peng Zhao* (2022) GinkgoDB: an ecological genome database for the living fossil, Ginkgo biloba. Database 2022, baac046