Publication: Efficient visualization of high-throughput targeted proteomics experiments: TAPIR
Efficient visualization of high-throughput targeted proteomics experiments: TAPIR
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Röst, H. L., Rosenberger, G., Aebersold, R., & Malmström, L. (2015). Efficient visualization of high-throughput targeted proteomics experiments: TAPIR. Bioinformatics, 31(14), 2415–2417. https://doi.org/10.1093/bioinformatics/btv152
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Motivation: Targeted mass spectrometry comprises a set of powerful methods to obtain accurate and consistent protein quantification in complex samples. To fully exploit these techniques, a cross-platform and open-source software stack based on standardized data exchange formats is required. Results: We present TAPIR, a fast and efficient Python visualization software for chromatograms and peaks identified in targeted proteomics experiments. The input formats are open, community-driven standardized data formats (mzML for raw data stora
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- Röst, Hannes L
- Rosenberger, George
- Aebersold, Ruedi
- Malmström, Lars
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Röst, H. L., Rosenberger, G., Aebersold, R., & Malmström, L. (2015). Efficient visualization of high-throughput targeted proteomics experiments: TAPIR. Bioinformatics, 31(14), 2415–2417. https://doi.org/10.1093/bioinformatics/btv152
