LPPtiger 2

Check latest release ⬇

Current release v2.0-RC

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

• https://github.com/LMAI-TUD/lpptiger2/releases/download/v2.0-RC/LPPtiger2_RC_win10_x64_exe.zip

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

• https://github.com/LMAI-TUD/lpptiger2/archive/refs/tags/v2.0-RC.tar.gz
• LPPtiger2 beta is developed using Python 3.10 with Anaconda and PyCharm Pro (Academic license)

Download user guide

• https://github.com/LMAI-TUD/lpptiger2/releases/download/v2.0-beta/LPPtiger2_user_guide.pdf

Download tutorial pack including sample dataset

• https://github.com/LMAI-TUD/lpptiger2/releases/download/v2.0-RC/LPPtiger2_tutorial_pack.zip

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

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

LPPtiger2 is developed based on the LPPtiger project (originally published in 2017):

https://github.com/SysMedOs/lpptiger

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

  • For academic and non-commercial use: AGPL License V3 Please read more information by the following link:

    • [GNU Affero General Public License] (https://www.gnu.org/licenses/agpl-3.0.en.html)

  • For commercial use:

    • Please contact the LMAI_team by email.
    • https://tu-dresden.de/med/mf/zml/forschungsgruppen/fedorova/

• 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:

  • Developer Zhixu Ni: zhixu.ni<at>tu-dresden.de
  • LPPtiger2 repository: https://github.com/LMAI-TUD/lpptiger2

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

    • it is recommended to create a separate environment for LPPtiger2

    • create an environment with name envtiger: conda create -n envtiger python=3.10

    • following the command line guide to finish the environment setup

    • activate environment envtiger: conda activate envtiger

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

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

    • optionally you can install following packages manually:

      • matplotlib
      • natsort
      • numba
      • numpy
      • openpyxl
      • pandas
      • plotly
      • pymzml
      • pyside6
      • regex
      • rdkit
      • scipy
      • six

  • run LPPtiger 2 python ./LPPtiger2.py

  • the interface will show up