For net-working, please write to liangxiaoATwestlake.edu.cn, or refer to my profiles on LinkedIn and Twitter@liangxiaodotpro .

For recorded talks, please refer to my channel on Bilibili.

Some of my codes and ideas are posted on GitHub.

Affiliated pages at Guomics Laboratory for Proteomic Big Data and Laboratory of Advanced Nanomaterials.

“I know you think your in a hurry
There's no need to worry
CauseI can feel it turning n' turning
Our luck is turning around”
by Young Rising Sons Turnin'

Guestbook

Drop your comments here! Xiao would be happy to have a talk over coffee.

Drop your comments here

 
 
 
😄 😃 😉 😊 😚 😗 😜 😛 😳 😁 😬 😌 😞 😘 😍 😢 😂 😭 😅 😓 😩 😮 😱 😠 😡 😤 😋 😎 😴 😈 😇 😕 😏 😑 👲 👮 💂 👶 ❤ 💔 💕 💘 💌 💋 🎁 💰 💍 👍 👎 👌 ✌️ 🤘 👏 🎵 ☕️ 🍵 🍺 🍷 🍼 ☀️ 🌤 🌦 🌧 🌜 🌈 🏝 🎅
 
 
 
Fields marked with * are required. // Your E-mail address won't be published. // It's possible that your message will only be visible in the guestbook after I review it. // I reserve the right to delete or not publish your comments.
6 entries.
Jiongjiongle wrote on 2024-04-19 at 14:57
Cooooooooooooooooool website!
Aria from 杭州 wrote on 2023-05-25 at 14:55
Do what you want to do. To be yourself!
Mirta from Basel, Switzerland wrote on 2022-06-27 at 14:26
Looking forward to the future work of single-cell omics! As even under controlled laboratory conditions, individual cells of standardized cell line behave differently.
SunnyXu wrote on 2022-03-10 at 16:37
Impressed by your accomplishments so far. Hope you could share more in the field of proteomic technologies:)
CELLS wrote on 2022-02-17 at 01:17
Good luck!
VK wrote on 2022-01-22 at 02:27
Congratulations on the awards!! 👏

Blog comments

  3. 梁老师紧跟技术前沿，为我们带来新知识和新观点，对研究很有帮助，感谢！

  5. […] 简单来说，SEQUEST是通过利用人类基因组学的信息来解释质谱的信息（即肽和蛋白)。在研究细胞中的蛋白时，得益于这个方法，研究人员不需要对每个蛋白进行纯化，只需要对整体蛋白进行剪切，再通过质谱分析其中的每一种蛋白，便可获得全部蛋白的信息。对此算法的具体介绍可参看追溯SEQUEST：1994年的思维尖刀。 […]