- 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 223 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.87 %
🌆 Daytime 706 commits █████████████░░░░░░░░░░░░ 53.40 %
🌃 Evening 194 commits ████░░░░░░░░░░░░░░░░░░░░░ 14.67 %
🌙 Night 199 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.05 %
📅 I'm Most Productive on Tuesday
Monday 147 commits ███░░░░░░░░░░░░░░░░░░░░░░ 11.12 %
Tuesday 425 commits ████████░░░░░░░░░░░░░░░░░ 32.15 %
Wednesday 279 commits █████░░░░░░░░░░░░░░░░░░░░ 21.10 %
Thursday 173 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.09 %
Friday 246 commits █████░░░░░░░░░░░░░░░░░░░░ 18.61 %
Saturday 50 commits █░░░░░░░░░░░░░░░░░░░░░░░░ 03.78 %
Sunday 2 commits ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.15 %
📊 This Week I Spent My Time On
💬 Programming Languages:
Python 3 hrs ███████████░░░░░░░░░░░░░░ 45.82 %
Jupyter 1 hr 9 mins ████░░░░░░░░░░░░░░░░░░░░░ 17.81 %
Markdown 36 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 09.37 %
CSV file 32 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 08.31 %
Other 29 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 07.56 %
🔥 Editors:
PyCharm 5 hrs 27 mins █████████████████████░░░░ 83.48 %
VS Code 35 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 09.06 %
iTerm2 24 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 06.24 %
Zsh 4 mins ░░░░░░░░░░░░░░░░░░░░░░░░░ 01.22 %
💻 Operating System:
Mac 6 hrs 28 mins █████████████████████████ 98.78 %
Linux 4 mins ░░░░░░░░░░░░░░░░░░░░░░░░░ 01.22 %
Last Updated on 09/08/2024 15:48:25 UTC