- I’m currently working on Lipidomics data analysis and software development @ TU Dresden, Germany.
- Some of our projects:
-
- LMAI-TUD/LPPtiger2: LPPtiger2 2 is capable to perform in silico prediction of epilipidome, in silico fragmentation of epilipids, and identification of epilipids from LC-MS/MS lipidomics data. LPPtiger 2 also have the function to generate inclusion list for PRM experiments. LPPtiger 2 generates interactive HTML output with its unique six-panel-image, which provides an easy way to review, store, and share the identification results.
- Ni, Zhixu, Georgia Angelidou, Ralf Hoffmann, and Maria Fedorova. LPPtiger software for lipidome-specific prediction and hunter of oxidized phospholipids from LC-MS datasets Scientific Reports 7, Article number: 15138 (2017). DOI: 10.1038/s41598-017-15363-z
- SysMedOs/LipidHunter 2: LipidHunter 2 is capable to perform bottom up identification of lipids from LC-MS/MS and shotgun lipidomics data by resembling a workflow of manual spectra annotation. LipidHunter generates interactive HTML output with its unique six-panel-image, which provides an easy way to review, store, and share the identification results.
- Ni, Zhixu, Georgia Angelidou, Mike Lange, Ralf Hoffmann, and Maria Fedorova. "LipidHunter identifies phospholipids by high-throughput processing of LC-MS and shotgun lipidomics datasets." Analytical Chemistry (2017). DOI: 10.1021/acs.analchem.7b01126
- SysMedOs/LipidLynxX: LipidLynxX provides the possibility to convert, cross-match, and link various lipid annotations to the tools supporting lipid ontology, pathway, and network analysis aiming systems-wide integration and functional annotation of lipidome dynamics in health and disease.
- Thanks to LIPID MAPS, you can now use LipidLynxX on LIPID MAPS® Lipidomics Gateway
- Zhixu Ni, Maria Fedorova. "LipidLynxX: a data transfer hub to support integration of large scale lipidomics datasets"bioRxiv(2020). DOI: 10.1101/2020.04.09.033894
- LMAI-TUD/LPPtiger2: LPPtiger2 2 is capable to perform in silico prediction of epilipidome, in silico fragmentation of epilipids, and identification of epilipids from LC-MS/MS lipidomics data. LPPtiger 2 also have the function to generate inclusion list for PRM experiments. LPPtiger 2 generates interactive HTML output with its unique six-panel-image, which provides an easy way to review, store, and share the identification results.
- How to reach me:
- Twitter: @Zhixu_Ni
- ResearchGate: https://www.researchgate.net/profile/Zhixu_Ni
I'm an Early 🐤
🌞 Morning 1806 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.63 %
🌆 Daytime 6558 commits ████████████░░░░░░░░░░░░░ 49.51 %
🌃 Evening 2282 commits ████░░░░░░░░░░░░░░░░░░░░░ 17.23 %
🌙 Night 2601 commits █████░░░░░░░░░░░░░░░░░░░░ 19.63 %
📅 I'm Most Productive on Tuesday
Monday 2196 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.58 %
Tuesday 2621 commits █████░░░░░░░░░░░░░░░░░░░░ 19.79 %
Wednesday 2582 commits █████░░░░░░░░░░░░░░░░░░░░ 19.49 %
Thursday 2287 commits ████░░░░░░░░░░░░░░░░░░░░░ 17.26 %
Friday 2174 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.41 %
Saturday 624 commits █░░░░░░░░░░░░░░░░░░░░░░░░ 04.71 %
Sunday 763 commits █░░░░░░░░░░░░░░░░░░░░░░░░ 05.76 %
📊 This Week I Spent My Time On
💬 Programming Languages:
Python 11 mins ████████░░░░░░░░░░░░░░░░░ 33.19 %
sh 9 mins ██████░░░░░░░░░░░░░░░░░░░ 25.61 %
Other 5 mins ████░░░░░░░░░░░░░░░░░░░░░ 15.16 %
CSV file 4 mins ███░░░░░░░░░░░░░░░░░░░░░░ 13.33 %
Image (svg) 2 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 08.20 %
🔥 Editors:
PyCharm 21 mins ███████████████░░░░░░░░░░ 59.23 %
Zsh 9 mins ██████░░░░░░░░░░░░░░░░░░░ 25.61 %
iTerm2 5 mins ████░░░░░░░░░░░░░░░░░░░░░ 15.16 %
💻 Operating System:
Mac 26 mins ███████████████████░░░░░░ 74.39 %
Linux 9 mins ██████░░░░░░░░░░░░░░░░░░░ 25.61 %
Last Updated on 26/05/2024 15:48:44 UTC