Writers and controlled vocabulary manager for PSI-MS's mzML and mzIdentML standards
Project description
psims
Prototype work for a unified API for writing Proteomics Standards Initiative standardized formats for mass spectrometry:
- mzML
- mzIdentML
- mzMLb
See the Documenation for more information
Installation
With pip:
pip install psims
With conda:
conda install -c bioconda -c conda-forge -c defaults psims
mzML Minimal Example
from psims.mzml.writer import MzMLWriter
# Load the data to write
scans = get_scan_data()
with MzMLWriter(open("out.mzML", 'wb'), close=True) as out:
# Add default controlled vocabularies
out.controlled_vocabularies()
# Open the run and spectrum list sections
with out.run(id="my_analysis"):
spectrum_count = len(scans) + sum([len(products) for _, products in scans])
with out.spectrum_list(count=spectrum_count):
for scan, products in scans:
# Write Precursor scan
out.write_spectrum(
scan.mz_array, scan.intensity_array,
id=scan.id, params=[
"MS1 Spectrum",
{"ms level": 1},
{"total ion current": sum(scan.intensity_array)}
])
# Write MSn scans
for prod in products:
out.write_spectrum(
prod.mz_array, prod.intensity_array,
id=prod.id, params=[
"MSn Spectrum",
{"ms level": 2},
{"total ion current": sum(prod.intensity_array)}
],
# Include precursor information
precursor_information={
"mz": prod.precursor_mz,
"intensity": prod.precursor_intensity,
"charge": prod.precursor_charge,
"scan_id": prod.precursor_scan_id,
"activation": ["beam-type collisional dissociation", {"collision energy": 25}],
"isolation_window": [prod.precursor_mz - 1, prod.precursor_mz, prod.precursor_mz + 1]
})
Citing
If you use psims
in an academic project, please cite:
Klein, J. A., & Zaia, J. (2018). psims - A declarative writer for mzML and mzIdentML for Python. Molecular & Cellular Proteomics, mcp.RP118.001070. https://doi.org/10.1074/mcp.RP118.001070
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
psims-1.2.0.tar.gz
(11.7 MB
view details)
Built Distribution
psims-1.2.0-py3-none-any.whl
(11.7 MB
view details)
File details
Details for the file psims-1.2.0.tar.gz
.
File metadata
- Download URL: psims-1.2.0.tar.gz
- Upload date:
- Size: 11.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d3487dade26775102503a7b16e12ac12ae94fed2e7d9fc03c2d681a201c84ae3 |
|
MD5 | 4f4d434f7a2287cf5785fc8697cd1d03 |
|
BLAKE2b-256 | f9f5c4a3f30ca28b67af4cfe2bcfd7ee17770c1b5004cfb104f427489a4d2e74 |
File details
Details for the file psims-1.2.0-py3-none-any.whl
.
File metadata
- Download URL: psims-1.2.0-py3-none-any.whl
- Upload date:
- Size: 11.7 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 66c2ca31254d2ddb841168fcf3587efb8af8227b27df9b9b1e192cdeaca86002 |
|
MD5 | bef8e979bb9c3a7aaee8eb83f368bd75 |
|
BLAKE2b-256 | 6fed5c3ddf96afbf4600686b0102414e903f4307a256f3744ecbc406ee677a40 |