Coder Social home page Coder Social logo

cnic-proteomics / turboputative Goto Github PK

View Code? Open in Web Editor NEW
1.0 3.0 0.0 116.02 MB

Application for the handling and simplification of putative annotations in untargeted metabolomics analysis based on LC/ESI-MS

Home Page: https://proteomics.cnic.es/TurboPutative

Python 49.21% Batchfile 1.18% Shell 3.78% CSS 3.03% HTML 31.87% JavaScript 6.45% Jupyter Notebook 4.20% C++ 0.28%
metabolomics bioinformatics lc-ms-data lc-ms metabolite-identification

turboputative's Introduction

TurboPutative

Installation Manual

The different releases of the application can be downloaded from GitHub. Thus, the desktop application is available for Windows (TurboPutative-x.x.x-win32-x64.zip) and for Linux (TurboPutative-x.x.x-linux-x64.zip). In both cases, it will be necessary to have Python 3.6 or a higher version installed in order to use the application (Download Python | Python.org).

To start using the Windows version it is necessary to run the TurboPutative.bat file. The first time it is run, the creation of the Python virtual environment will start with the required libraries (Numpy, Pandas, Cython, xlrd, xlwt and openpyxl). If Python is not found in the system PATH (or if Python is not Python 3.6 or higher), the user will be prompted to enter the full address to a valid Python executor. The virtual environment will be created in the env folder of the application root directory. The desktop application can then be started by running TurboPutative.bat.

To use TurboPutative on Linux it is necessary to run the TurboPutative.sh file from a terminal (or use the Bash interpreter: bash TurboPutative.sh). The first time it is run, the Python virtual environment will be created in a similar way to that described for the Windows version. After creating the virtual environment, you can use the desktop application by running TurboPutative.sh.

Finally, it is possible to download the server source code at TurboPutative-x.x.x-webServer.zip. To start the web server as localhost it is necessary to use Linux and to have Node.js and its npm package manager (Node.js) installed on the computer. After unzipping the downloaded .zip file, the npm install command must be executed from the root folder and using the terminal, in order to download the required packages and dependencies. To start the server, the command npm start must be executed from the root folder of the project and using the terminal. The local server will then listen for connections on port 8080, and requests can be sent by entering http://localhost:8080/ in the browser.

Source Code Organization

The source code content is organized in three main folders contained in the root directory: desktopApp, webApp and tools. The desktopApp folder contains the files and code for the desktop application on Windows and Linux. The webApp folder contains the files and code for the web application. The tools folder contains some tools and other files used for TurboPutative development. Finally, test folder contains example input (MS_experiment.xls and Feature_Data.xlsx) and output files.

The different subfolders contain README.md files that explain the content and distribution of the code

turboputative's People

Contributors

rbarreror avatar

Stargazers

 avatar

Watchers

 avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.