Cargando…
Basophile: Accurate Fragment Charge State Prediction Improves Peptide Identification Rates
In shotgun proteomics, database search algorithms rely on fragmentation models to predict fragment ions that should be observed for a given peptide sequence. The most widely used strategy (Naive model) is oversimplified, cleaving all peptide bonds with equal probability to produce fragments of all c...
Autores principales: | Wang, Dong, Dasari, Surendra, Chambers, Matthew C., Holman, Jerry D., Chen, Kan, Liebler, Daniel C., Orton, Daniel J., Purvine, Samuel O., Monroe, Matthew E., Chung, Chang Y., Rose, Kristie L., Tabb, David L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3737598/ https://www.ncbi.nlm.nih.gov/pubmed/23499924 http://dx.doi.org/10.1016/j.gpb.2012.11.004 |
Ejemplares similares
-
proBAMsuite, a Bioinformatics Framework for Genome-Based Representation and Analysis of Proteomics Data
por: Wang, Xiaojing, et al.
Publicado: (2016) -
Bioinformatic challenges for proteomic biomarkers of cancer
por: Tabb, David L, et al.
Publicado: (2011) -
Correcting systematic bias and instrument measurement drift with mzRefinery
por: Gibbons, Bryson C., et al.
Publicado: (2015) -
Basophilic Infiltration in the Neurohypophysis
por: Bayoumi, M. L.
Publicado: (1948) -
The Basophilic Substance of the Erythrocyte
por: Davidson, L. S. P.
Publicado: (1930)