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- W2024174930 abstract "Abstract 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 storage and TraML encoding the hierarchical relationships between transitions, peptides and proteins). TAPIR is scalable to proteome-wide targeted proteomics studies (as enabled by SWATH-MS), allowing researchers to visualize high-throughput datasets. The framework integrates well with existing automated analysis pipelines and can be extended beyond targeted proteomics to other types of analyses. Availability and implementation: TAPIR is available for all computing platforms under the 3-clause BSD license at https://github.com/msproteomicstools/msproteomicstools. Contact: lars@imsb.biol.ethz.ch Supplementary information: Supplementary data are available at Bioinformatics online." @default.
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- W2024174930 date "2015-03-18" @default.
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- W2024174930 title "Efficient visualization of high-throughput targeted proteomics experiments: TAPIR" @default.
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- W2024174930 doi "https://doi.org/10.1093/bioinformatics/btv152" @default.
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