Efficient visualization of high-throughput targeted proteomics experiments: TAPIR.
Bioinformatics
; 31(14): 2415-7, 2015 Jul 15.
Article
en En
| MEDLINE
| ID: mdl-25788625
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.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Espectrometría de Masas
/
Programas Informáticos
/
Proteómica
Idioma:
En
Revista:
Bioinformatics
Asunto de la revista:
INFORMATICA MEDICA
Año:
2015
Tipo del documento:
Article
País de afiliación:
Suiza