This release is a pre-release and may not be stable for production use.
This package contains Python bindings for a large part of the OpenMS library for mass spectrometry based proteomics. It thus provides providing facile access to a feature-rich, open-source algorithm library for mass-spectrometry based proteomics analysis. These Python bindings allow raw access to the data-structures and algorithms implemented in OpenMS, specifically those for file access (mzXML, mzML, TraML, mzIdentML among others), basic signal processing (smoothing, filtering, de-isotoping and peak-picking) and complex data analysis (including label-free, SILAC, iTRAQ and SWATH analysis tools).
You can install pyopenms using:
pip install pyopenms
Please see https://github.com/OpenMS/OpenMS/wiki/pyOpenMS for more information.
Release files for pyopenms-nightly 2.6.0.dev20201012
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyopenms_nightly-2.6.0.dev20201012-cp36-cp36m-macosx_10_9_x86_64.whl | CPython 3.6 | CPython 3.6 pymalloc | macOS 10.9+ x86-64 | Details |
| pyopenms_nightly-2.6.0.dev20201012-cp35-cp35m-manylinux2014_x86_64.whl | CPython 3.5 | CPython 3.5 pymalloc | Linux glibc 2.17+ x86-64 | Details |
Total release size: 89.3 MB
Release files / pyopenms_nightly-2.6.0.dev20201012-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | pyopenms_nightly-2.6.0.dev20201012-cp36-cp36m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 50.7 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
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Release files / pyopenms_nightly-2.6.0.dev20201012-cp35-cp35m-manylinux2014_x86_64.whl
| Download URL | pyopenms_nightly-2.6.0.dev20201012-cp35-cp35m-manylinux2014_x86_64.whl |
|---|---|
| Size | 38.6 MB |
| Tags | CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6
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