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Releases: LMAI-TUD/lpptiger2

LPPtiger2 RC

20 Oct 16:11
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LPPtiger2 RC Pre-release
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LPPtiger2 Rlease candidate

LPPtiger2_RC

LPPtiger2

Lipostar 2 + LPPtiger2 connection is now fully functional.

LPPtiger 2 Beta

17 Jun 23:37
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LPPtiger 2 Beta Pre-release
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LPPtiger 2

LPPtiger2_new_features

Download .exe for Windows 10 or above (64bit only)

Download source code version for macOS (Apple silicon), Linux, and Windows (Win10, Win 11)

Download user guide

Download tutorial pack including sample dataset

About LPPtiger 2

LPPtiger 2 provides you a set of powerful functions to explor epilipidome.

Main functions:

  • Prediction of epilipidome

  • in silico fragmentation of epilipids

  • Generation of inclusion list

  • Identify epilipids at discrete level with modification type information

# The connection with Lipostar 2 is currently under development based on previous project
  • Currently working connection baes on original LPPtiger: https://github.com/SysMedOs/StarCats
  • An upgrade of LPPtiger 2 will be released later to enable the function of Lipostar 2 connection (requires Lipostar 2.02)
  • Lipostar is the latest software from Molecular Discovery, developed to assist LC/MS-based lipidomics from the very beginning (direct import of raw data files) to the final goal (lipid identification, statistical analysis, report generation).
  • https://www.moldiscovery.com/software/lipostar/

LPPtiger 2 provides user friendly intuitive graphic interface for multiple platforms including macOS (Apple silicon), Linux, and Windows (Win10, Win 11).

License

  • Copyright (C) 2021-2022 LMAI_team @ TU Dresden:

    • LMAI_team: Zhixu Ni, Maria Fedorova
  • Copyright (C) 2016-2021 SysMedOs_team @ AG Bioanalytik, University of Leipzig:

    • SysMedOs_team: Zhixu Ni, Georgia Angelidou, Maria Fedorova
  • LPPtiger2 is Dual-licensed

  • Please cite our publication in an appropriate form:

    • 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
  • For more info please contact:

Installation of LPPtiger 2

  • Windows .exe excutables

    • download the zip pack

    • unzip it to a folder

    • find the LPPtiger2.exe file

    • simply double click it and the interface will show up

  • Run from source code

    • install anaconda with Python 3.9 or 3.10

    • in anaconda enviroment, go to the LPPtiger2 source code folder

    • install requirements using pip install -r ./requirements.txt

    • run LPPtiger 2 python ./LPPtiger2.py

    • the interface will show up