- 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 204 commits ████░░░░░░░░░░░░░░░░░░░░░ 16.24 %
🌆 Daytime 672 commits █████████████░░░░░░░░░░░░ 53.50 %
🌃 Evening 190 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.13 %
🌙 Night 190 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.13 %
📅 I'm Most Productive on Tuesday
Monday 143 commits ███░░░░░░░░░░░░░░░░░░░░░░ 11.39 %
Tuesday 389 commits ████████░░░░░░░░░░░░░░░░░ 30.97 %
Wednesday 276 commits █████░░░░░░░░░░░░░░░░░░░░ 21.97 %
Thursday 167 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.30 %
Friday 229 commits █████░░░░░░░░░░░░░░░░░░░░ 18.23 %
Saturday 50 commits █░░░░░░░░░░░░░░░░░░░░░░░░ 03.98 %
Sunday 2 commits ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.16 %
📊 This Week I Spent My Time On
💬 Programming Languages:
Jupyter 3 hrs 40 mins ████████░░░░░░░░░░░░░░░░░ 31.14 %
Python 2 hrs 48 mins ██████░░░░░░░░░░░░░░░░░░░ 23.78 %
Other 2 hrs 9 mins █████░░░░░░░░░░░░░░░░░░░░ 18.32 %
sh 1 hr 7 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 09.59 %
CSV file 34 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 04.85 %
🔥 Editors:
PyCharm 6 hrs 55 mins ███████████████░░░░░░░░░░ 58.74 %
VS Code 1 hr 58 mins ████░░░░░░░░░░░░░░░░░░░░░ 16.81 %
iTerm2 1 hr 20 mins ███░░░░░░░░░░░░░░░░░░░░░░ 11.45 %
Zsh 1 hr 7 mins ██░░░░░░░░░░░░░░░░░░░░░░░ 09.59 %
DataGrip 24 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.41 %
💻 Operating System:
Mac 8 hrs 55 mins ███████████████████░░░░░░ 75.80 %
Linux 2 hrs 51 mins ██████░░░░░░░░░░░░░░░░░░░ 24.20 %
Last Updated on 12/07/2024 15:48:09 UTC