Skip to main content

pyRawTools is a Python package for loading Thermo MS data.

Project description

pyRawTools

pyRawTools is a Python package for Windows/Linux/Mac processing raw data from mass spectrometry experiments. Base on RawTools and UNIX command line.

Install

  1. Must install mono
    1. For macOS, use brew to install mono
     brew install mono
    
    1. For Linux, use apt or yum to install mono
     sudo apt install mono-complete
    
  2. Install or Build
    1. Install

      1. pip install pyRawTools
        
    2. Build

      1. Clone this repository
        git clone https://github.com/EstrellaXD/pyRawTools.git
        
      2. Install python package
        cd pyRawTools
        python setup.py install
        

Usage

  1. Convert raw file to pandas DataFrame
from pyRawTools import MSLoader


loader = MSLoader()
raw_data, raw_metrix = loader.load('path/to/raw/file.RAW')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyRawTools-0.2.3.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyRawTools-0.2.3-py3-none-any.whl (2.6 MB view details)

Uploaded Python 3

File details

Details for the file pyRawTools-0.2.3.tar.gz.

File metadata

  • Download URL: pyRawTools-0.2.3.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for pyRawTools-0.2.3.tar.gz
Algorithm Hash digest
SHA256 324f7ffc91af533fa54a83294fcd1535b77fce30dd7bebdc96a1519e13b7ccb2
MD5 2b78ce13fbd382e05d545b3ed0cc29ad
BLAKE2b-256 723e3b57fc26ff65c0e2b370a81dd143ee430d73f176c708611a851f9f4c8f7f

See more details on using hashes here.

File details

Details for the file pyRawTools-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: pyRawTools-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 2.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for pyRawTools-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 63285cab80cb09d7293a2555caffa2cf554cd35270bc3054f0c088be2ecf692c
MD5 f92dcb2e979ca282feac41b485899091
BLAKE2b-256 db99a15a5136a7a6082dfa36a2362727f58d41d9776971ddabbc043a475abc0a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page