title: Pyteomics--a Python framework for exploratory data analysis and rapid software prototyping in proteomics.
abstract: Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics. It provides modules for reading LC-MS/MS data, search engine output, protein sequence databases, theoretical prediction of retention times, electrochemical properties of polypeptides, mass and m/z calculations, and sequence parsing. Pyteomics is available under Apache license; release versions are available at the Python Package Index http://pypi.python.org/pyteomics, the source code repository at http://hg.theorchromo.ru/pyteomics, documentation at http://packages.python.org/pyteomics. Pyteomics.biolccc documentation is available at http://packages.python.org/pyteomics.biolccc/. Questions on installation and usage can be addressed to pyteomics mailing list: pyteomics@googlegroups.com.
authors.affiliation: Department of Physics, Massachusetts Institute of Technology, Boston, MA 02139, USA.
authors.forename: Anton A
authors.initials: AA
authors.lastname: Goloborodko
authors.forename: Lev I
authors.initials: LI
authors.lastname: Levitsky
authors.forename: Mark V
authors.initials: MV
authors.lastname: Ivanov
authors.forename: Mikhail V
authors.initials: MV
authors.lastname: Gorshkov
mesh_terms: D002853:Chromatography, Liquid; D057225:Data Mining / Q000379:methods*; D030562:Databases, Protein; D020407:Internet; D040901:Proteomics / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software; D053719:Tandem Mass Spectrometry