Skip to main content

psims

Prototype work for a unified API for writing Proteomics Standards Initiative standardized formats for mass spectrometry:

  1. mzML
  2. mzIdentML
  3. 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

Download files

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

Source Distribution

psims-1.4.0.tar.gz (23.9 MB view details)

Uploaded Source

Built Distribution

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

psims-1.4.0-py3-none-any.whl (23.9 MB view details)

Uploaded Python 3

File details

Details for the file psims-1.4.0.tar.gz.

File metadata

  • Download URL: psims-1.4.0.tar.gz
  • Upload date:
  • Size: 23.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.6

File hashes

Hashes for psims-1.4.0.tar.gz
Algorithm Hash digest
SHA256 ac7730c507864eb141877a700dd79e5fc7afc7da30998778b91c50e0f9f5e8e7
MD5 d7b8edf782ad95ac4a6749456956ca3a
BLAKE2b-256 9b23b3b1ae907488042e0822a8b79a80c5ab5726aa1a13c2b87d505ebb19f438

See more details on using hashes here.

File details

Details for the file psims-1.4.0-py3-none-any.whl.

File metadata

  • Download URL: psims-1.4.0-py3-none-any.whl
  • Upload date:
  • Size: 23.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.6

File hashes

Hashes for psims-1.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b87085dd7273b19d7fc674daa917598f6eb0e21fad788c132a392aa2e8529f6c
MD5 5e92ba5dfafd561262475a0c58084c18
BLAKE2b-256 d94eadeb132bac046543fdf4751adadde1f4c2a92a61b35e8dd24124227a9a86

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.4.0 This release

2 files

1.3.6

2 files

1.3.5

2 files

1.3.4

2 files

1.3.3

2 files

1.3.2

2 files

1.3.1

2 files

1.3.0

2 files

1.2.9

2 files

1.2.8

2 files

1.2.7

2 files

1.2.6

2 files

1.2.5

2 files

1.2.4

2 files

1.2.3

2 files

1.2.2

2 files

1.2.0

2 files

1.1.0

2 files

1.0.1

2 files

1.0.0

2 files

0.1.50

2 files

0.1.49

2 files

0.1.48

0.1.47

2 files

0.1.46

2 files

0.1.45

2 files

0.1.44

2 files

0.1.43

2 files

0.1.42

2 files

0.1.41

2 files

0.1.40

2 files

0.1.39

2 files

0.1.38

2 files

0.1.37

2 files

0.1.36

2 files

0.1.35

2 files

0.1.34

2 files

0.1.33

2 files

0.1.31

3 files

0.1.30

2 files

0.1.29

2 files

0.1.28

1 file

0.1.27

2 files

0.1.26

2 files

0.1.25

1 file

0.1.24

1 file

0.1.23

1 file

0.1.21

4 files

0.1.20

2 files

0.1.19

4 files

0.1.18

3 files

0.1.16

3 files

0.1.15

2 files

0.1.13

3 files

0.1.12

3 files

0.1.10

3 files

0.1.9

3 files

0.1.7

2 files

0.1.6

2 files

0.1.4

2 files

0.1.1

1 file

0.0.13

2 files

0.0.12

2 files

0.0.11

1 file

0.0.10

1 file

0.0.8

2 files

0.0.6

1 file

0.0.5

1 file

0.0.4

1 file

0.0.3

1 file

0.0.2

1 file

Supported by

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