pymzML—Python module for high-throughput bioinformatics on mass spectrometry data

pymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra. Availability and implementation:...

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Vydáno v:Bioinformatics (Oxford, England) Ročník 28; číslo 7; s. 1052 - 1053
Hlavní autoři: Bald, Till, Barth, Johannes, Niehues, Anna, Specht, Michael, Hippler, Michael, Fufezan, Christian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Oxford University Press 01.04.2012
Témata:
Biological and medical sciences
Computational Biology - methods
Fundamental and applied biological sciences. Psychology
General aspects
Mass Spectrometry
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Programming Languages
Software
High throughput screening
Data
Module
Bioinformatics
Mass spectrometry
ISSN:1367-4803, 1367-4811, 1367-4811
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Abstract pymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra. Availability and implementation: pymzML requires Python2.6.5+ and is fully compatible with Python3. The module is freely available on http://pymzml.github.com or pypi, is published under LGPL license and requires no additional modules to be installed. Contact:  christian@fufezan.net
AbstractList pymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra. Availability and implementation: pymzML requires Python2.6.5+ and is fully compatible with Python3. The module is freely available on http://pymzml.github.com or pypi, is published under LGPL license and requires no additional modules to be installed. Contact:  christian@fufezan.net
pymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra.SUMMARYpymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra.pymzML requires Python2.6.5+ and is fully compatible with Python3. The module is freely available on http://pymzml.github.com or pypi, is published under LGPL license and requires no additional modules to be installed.AVAILABILITY AND IMPLEMENTATIONpymzML requires Python2.6.5+ and is fully compatible with Python3. The module is freely available on http://pymzml.github.com or pypi, is published under LGPL license and requires no additional modules to be installed.christian@fufezan.net.CONTACTchristian@fufezan.net.
pymzML is an extension to Python that offers (i) an easy access to mass spectrometry (MS) data that allows the rapid development of tools, (ii) a very fast parser for mzML data, the standard data format in MS and (iii) a set of functions to compare or handle spectra. pymzML requires Python2.6.5+ and is fully compatible with Python3. The module is freely available on http://pymzml.github.com or pypi, is published under LGPL license and requires no additional modules to be installed. christian@fufezan.net.
Author Barth, Johannes
Hippler, Michael
Niehues, Anna
Bald, Till
Fufezan, Christian
Specht, Michael
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  fullname: Hippler, Michael
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  surname: Fufezan
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10.1186/1471-2105-9-163
10.1074/mcp.R110.000133
10.1038/nmeth0409-240
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SubjectTerms Biological and medical sciences
Computational Biology - methods
Fundamental and applied biological sciences. Psychology
General aspects
Mass Spectrometry
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Programming Languages
Software
Title pymzML—Python module for high-throughput bioinformatics on mass spectrometry data
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