Cargando…
Proteome coverage prediction with infinite Markov models
Motivation: Liquid chromatography tandem mass spectrometry (LC-MS/MS) is the predominant method to comprehensively characterize complex protein mixtures such as samples from prefractionated or complete proteomes. In order to maximize proteome coverage for the studied sample, i.e. identify as many tr...
Autores principales: | Claassen, Manfred, Aebersold, Ruedi, Buhmann, Joachim M. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2687987/ https://www.ncbi.nlm.nih.gov/pubmed/19477982 http://dx.doi.org/10.1093/bioinformatics/btp233 |
Ejemplares similares
-
Predicting functionality of protein–DNA interactions by integrating diverse evidence
por: Ucar, Duygu, et al.
Publicado: (2009) -
Modeling stochasticity and robustness in gene regulatory networks
por: Garg, Abhishek, et al.
Publicado: (2009) -
Probabilistic retrieval and visualization of biologically relevant microarray experiments
por: Caldas, José, et al.
Publicado: (2009) -
Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy
por: Lubliner, Shai, et al.
Publicado: (2009) -
Computing galled networks from real data
por: Huson, Daniel H., et al.
Publicado: (2009)