Back to Search
Start Over
TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics
- Source :
- Nature Methods, Röst, H L, Liu, Y, D'Agostino, G, Zanella, M, Navarro, P, Rosenberger, G, Collins, B C, Gillet, L, Testa, G, Malmström, L & Aebersold, R 2016, ' TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics ', Nature Methods, vol. 13, no. 9, pp. 777-783 . https://doi.org/10.1038/nmeth.3954, Nature Methods, 13 (9), Nature methods
- Publication Year :
- 2016
-
Abstract
- Nature Methods, 13 (9)<br />ISSN:1548-7105<br />ISSN:1548-7091
- Subjects :
- Pluripotent Stem Cells
Proteomics
0301 basic medicine
Analyte
Streptococcus pyogenes
Software tool
Quantitative proteomics
Proteomic analysis
Computational biology
Biology
Proteome informatics
Bioinformatics
Biochemistry
Article
Mass Spectrometry
03 medical and health sciences
Sequence Analysis, Protein
Protein methods
Humans
Protein Precursors
Human Induced Pluripotent Stem Cells
Molecular Biology
Electronic Data Processing
Reproducibility of Results
Cell Biology
Mass spectrometric
Targeted proteomics
030104 developmental biology
Proteolysis
sense organs
Peptides
Sequence Alignment
Algorithms
Software
Biotechnology
Subjects
Details
- ISSN :
- 15487105 and 15487091
- Database :
- OpenAIRE
- Journal :
- Nature Methods
- Accession number :
- edsair.doi.dedup.....8f4541379d1543f0e0fe361af1737c5d
- Full Text :
- https://doi.org/10.1038/nmeth.3954