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ZhixuNi/README.md

Hi there ๐Ÿ‘‹

  • Iโ€™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 MAPSยฎ 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 ๐Ÿค

๐ŸŒž Morning                1806 commits        โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   13.63 % 
๐ŸŒ† Daytime                6558 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   49.51 % 
๐ŸŒƒ Evening                2282 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   17.23 % 
๐ŸŒ™ Night                  2601 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   19.63 % 

๐Ÿ“… I'm Most Productive on Tuesday

Monday                   2196 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   16.58 % 
Tuesday                  2621 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   19.79 % 
Wednesday                2582 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   19.49 % 
Thursday                 2287 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   17.26 % 
Friday                   2174 commits        โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   16.41 % 
Saturday                 624 commits         โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   04.71 % 
Sunday                   763 commits         โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   05.76 % 

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ’ฌ Programming Languages: 
Python                   59 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   37.34 % 
JSON                     56 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   35.43 % 
Other                    43 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   27.20 % 
Text                     0 secs              โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.03 % 
Image (svg)              0 secs              โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.00 % 

๐Ÿ”ฅ Editors: 
VS Code                  1 hr 52 mins        โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   70.23 % 
iTerm2                   38 mins             โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   24.36 % 
PyCharm                  8 mins              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   05.41 % 

๐Ÿ’ป Operating System: 
Mac                      2 hrs 39 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 % 

Last Updated on 31/05/2024 15:48:34 UTC

Pinned

  1. LMAI-TUD/lpptiger2 LMAI-TUD/lpptiger2 Public

    LPPtiger2

    Python 5

  2. SysMedOs/LipidLynxX SysMedOs/LipidLynxX Public

    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 integratioโ€ฆ

    Python 12 6

  3. SysMedOs/lipidhunter SysMedOs/lipidhunter Public

    LipidHunter 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 interactiโ€ฆ

    Python 7 6

  4. SysMedOs/AdipoAtlasScripts SysMedOs/AdipoAtlasScripts Public

    Python & R scripts collection for AdipoAtlas project

    Python