- 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 ████░░░░░░░░░░░░░░░░░░░░░ 16.84 %
🌆 Daytime 706 commits █████████████░░░░░░░░░░░░ 53.32 %
🌃 Evening 194 commits ████░░░░░░░░░░░░░░░░░░░░░ 14.65 %
🌙 Night 201 commits ████░░░░░░░░░░░░░░░░░░░░░ 15.18 %
📅 I'm Most Productive on Tuesday
Monday 148 commits ███░░░░░░░░░░░░░░░░░░░░░░ 11.18 %
Tuesday 425 commits ████████░░░░░░░░░░░░░░░░░ 32.10 %
Wednesday 279 commits █████░░░░░░░░░░░░░░░░░░░░ 21.07 %
Thursday 173 commits ███░░░░░░░░░░░░░░░░░░░░░░ 13.07 %
Friday 247 commits █████░░░░░░░░░░░░░░░░░░░░ 18.66 %
Saturday 50 commits █░░░░░░░░░░░░░░░░░░░░░░░░ 03.78 %
Sunday 2 commits ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.15 %
📊 This Week I Spent My Time On
💬 Programming Languages:
Python 3 hrs 10 mins ███████████░░░░░░░░░░░░░░ 44.54 %
JSON 1 hr 59 mins ███████░░░░░░░░░░░░░░░░░░ 27.97 %
sh 1 hr 8 mins ████░░░░░░░░░░░░░░░░░░░░░ 16.01 %
CSV file 18 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 04.37 %
Other 13 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.09 %
🔥 Editors:
PyCharm 5 hrs 32 mins ███████████████████░░░░░░ 77.74 %
Zsh 1 hr 11 mins ████░░░░░░░░░░░░░░░░░░░░░ 16.65 %
VS Code 13 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 03.24 %
iTerm2 10 mins █░░░░░░░░░░░░░░░░░░░░░░░░ 02.37 %
💻 Operating System:
Linux 4 hrs 30 mins ████████████████░░░░░░░░░ 63.27 %
Mac 2 hrs 37 mins █████████░░░░░░░░░░░░░░░░ 36.73 %
Last Updated on 20/08/2024 15:47:56 UTC