Your browser doesn't support javascript.
loading
PamgeneAnalyzeR: open and reproducible pipeline for kinase profiling.
Bekkar, Amel; Nasrallah, Anita; Guex, Nicolas; Fajas, Lluis; Xenarios, Ioannis; Lopez-Mejia, Isabel C.
Afiliación
  • Bekkar A; Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne CH-1015, Switzerland.
  • Nasrallah A; Center for Integrative Genomics, University of Lausanne, Lausanne CH-1015, Switzerland.
  • Guex N; Vital-IT Group, SIB Swiss Institute of Bioinformatics, Lausanne CH-1015, Switzerland.
  • Fajas L; Center for Integrative Genomics, University of Lausanne, Lausanne CH-1015, Switzerland.
  • Xenarios I; Center for Integrative Genomics, University of Lausanne, Lausanne CH-1015, Switzerland.
  • Lopez-Mejia IC; Center for Integrative Genomics, University of Lausanne, Lausanne CH-1015, Switzerland.
Bioinformatics ; 36(20): 5117-5119, 2020 12 22.
Article en En | MEDLINE | ID: mdl-31922550
Protein phosphorylation--catalyzed by protein kinases-is the most common post-translational modification. It increases the functional diversity of the proteome and influences various aspects of normal physiology and can be altered in disease states. High throughput profiling of kinases is becoming an essential experimental approach to investigate their activity and this can be achieved using technologies such as PamChip® arrays provided by PamGene for kinase activity measurement. Here, we present 'pamgeneAnalyzeR', an R package developed as an alternative to the manual steps necessary to extract the data from PamChip® peptide microarrays images in a reproducible and robust manner. The extracted data can be directly used for downstream analysis. AVAILABILITY AND IMPLEMENTATION: PamgeneAnalyzeR is implemented in R and can be obtained from https://github.com/amelbek/pamgeneAnalyzeR.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas Quinasas / Proteoma Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas Quinasas / Proteoma Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article