New Results
Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data
View ORCID ProfilePeter Lasch, Andy Schneider, Christian Blumenscheit, Joerg Doellinger
doi: https://doi.org/10.1101/870089
Peter Lasch
1Robert Koch-Institute, ZBS6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany
Andy Schneider
1Robert Koch-Institute, ZBS6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany
Christian Blumenscheit
1Robert Koch-Institute, ZBS6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany
Joerg Doellinger
1Robert Koch-Institute, ZBS6 - Proteomics and Spectroscopy, Seestraße 10, Berlin, D-13353, Germany

- Supporting Information[supplements/870089_file02.pdf]
Posted December 10, 2019.
Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data
Peter Lasch, Andy Schneider, Christian Blumenscheit, Joerg Doellinger
bioRxiv 870089; doi: https://doi.org/10.1101/870089
Subject Area
Subject Areas
- Biochemistry (10739)
- Bioengineering (8016)
- Bioinformatics (27191)
- Biophysics (13941)
- Cancer Biology (11085)
- Cell Biology (15991)
- Clinical Trials (138)
- Developmental Biology (8758)
- Ecology (13245)
- Epidemiology (2067)
- Evolutionary Biology (17322)
- Genetics (11666)
- Genomics (15887)
- Immunology (10994)
- Microbiology (26002)
- Molecular Biology (10608)
- Neuroscience (56362)
- Paleontology (417)
- Pathology (1728)
- Pharmacology and Toxicology (2999)
- Physiology (4530)
- Plant Biology (9592)
- Synthetic Biology (2671)
- Systems Biology (6960)
- Zoology (1507)