pymzML v2.0: introducing a highly compressed and seekable gzip format-Reference-Cited by-同舟云学术

pymzML v2.0: introducing a highly compressed and seekable gzip format

Published:2018-01-31 Issue:14 Volume:34 Page:2513-2514
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kösters M¹,Leufken J¹²,Schulze S¹,Sugimoto K¹,Klein J³,Zahedi R P⁴⁵,Hippler M¹,Leidel S A²,Fufezan C¹⁶^ORCID

Affiliation:

1. Institute of Plant Biology and Biotechnology, WWU Münster, Münster, Germany

2. Max Planck Institute for Molecular Biomedicine, Münster, Germany

3. Bioinformatics Program, Boston University, One Silber Way, Boston, MA, USA

4. Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, 5100 de Maisonneuve Boulevard West, Suite 720, Montreal, Quebec, Canada

5. Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, 3755 Côte-Sainte-Catherine Road, Montreal, Quebec, Canada

6. Cellzome A GSK Company, Heidelberg, Germany

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/14/2513/25138202/bty046.pdf

Reference11 articles.

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2. mzML: a single, unifying data format for mass spectrometer output;Deutsch;Proteomics,2008

3. Pyteomics – a python framework for exploratory data analysis and rapid software prototyping in proteomics;Goloborodko;J. Am. Soc. Mass Spectrom,2013

4. Run-length encodings;Golomb;IEEE Transact. Inf. Theory,1966

5. ProteoWizard: open source software for rapid proteomics tools development;Kessner;Bioinformatics (Oxford, England),2008

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