pymzid reads in mzidentml files from proteomics search engine
Project description
Pymzid
Reads in mzid files from protein identification results in mass spectrometry/proteomics experiments
Installation and Usage
Install Python 3.7+ and pip. See instructions on Python website for specific instructions for your operating system.
Pymzid can be installed from PyPI via pip. We recommend using a virtual environment.
$ pip install pymzid
Launch as a standalone:
$ python -m pymzid path/to/mzid -o path/to/out
Alternatively:
$ pymzid
Use as a module:
from pymzid.read_mzid import Mzid
mzid = Mzid("path/to/mzid")
mzid.read_psm()
gives a pandas object under mzid.psm_df
To test that the installation can load test data files in tests/data:
$ pip install tox
$ tox
To run the test Percolator data and print the output to home:
$ python -m pymzid tests/data/comet_percolator/percolator.target.mzid -o ~
Dependencies
Pymzid is tested in Python 3.7 and 3.8 and uses the following packages:
pandas==1.0.4
tqdm==4.46.1
Contributing
Please contact us if you wish to contribute, and submit pull requests to us.
Authors
- Edward Lau, PhD - Code/design - ed-lau
See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pymzid-0.3.2.tar.gz
.
File metadata
- Download URL: pymzid-0.3.2.tar.gz
- Upload date:
- Size: 322.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 659b176fad125e42fc845c9caff994858b072221bb435aeea979baa6865538f9 |
|
MD5 | 3991129044d28d52db91f0bad1b02c1d |
|
BLAKE2b-256 | 7619f4935adc044ab8c5b472072057f3df378df8244a0f37b0175f2e2f61df32 |