SLocX: Predicting Subcellular Localization of Arabidopsis Proteins Leveraging Gene Expression Data

Despite the growing volume of experimentally validated knowledge about the subcellular localization of plant proteins, a well performing in silico prediction tool is still a necessity. Existing tools, which employ information derived from protein sequence alone, offer limited accuracy and/or rely on...

Descripción completa

Detalles Bibliográficos
Autores principales: Ryngajllo, Malgorzata, Childs, Liam, Lohse, Marc, Giorgi, Federico M., Lude, Anja, Selbig, Joachim, Usadel, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355584/
https://www.ncbi.nlm.nih.gov/pubmed/22639594
http://dx.doi.org/10.3389/fpls.2011.00043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3355584/
https://www.ncbi.nlm.nih.gov/pubmed/22639594
http://dx.doi.org/10.3389/fpls.2011.00043

Ejemplares similares