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Hi there 👋

  • 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
  • How to reach me:

Code Time

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

Zhixu Ni's Projects

epilion icon epilion

epiLipidome Identifier and Optimized Nomenclature

jliebisch icon jliebisch

Java library to convert Liebisch lipid notation to CXSMILES.

pymzml icon pymzml

pymzML - an interface between Python and mzML Mass spectrometry Files

waka-readme-stats icon waka-readme-stats

This GitHub action helps to add cool dev metrics to your github profile Readme

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