Cargando…
HTPheno: An image analysis pipeline for high-throughput plant phenotyping
BACKGROUND: In the last few years high-throughput analysis methods have become state-of-the-art in the life sciences. One of the latest developments is automated greenhouse systems for high-throughput plant phenotyping. Such systems allow the non-destructive screening of plants over a period of time...
Autores principales: | Hartmann, Anja, Czauderna, Tobias, Hoffmann, Roberto, Stein, Nils, Schreiber, Falk |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3113939/ https://www.ncbi.nlm.nih.gov/pubmed/21569390 http://dx.doi.org/10.1186/1471-2105-12-148 |
Ejemplares similares
-
VANTED v2: a framework for systems biology applications
por: Rohn, Hendrik, et al.
Publicado: (2012) -
High-throughput bioinformatics with the Cyrille2 pipeline system
por: Fiers, Mark WEJ, et al.
Publicado: (2008) -
SNP-PHAGE – High throughput SNP discovery pipeline
por: Matukumalli, Lakshmi K, et al.
Publicado: (2006) -
A high-throughput pipeline for the design of real-time PCR signatures
por: Vijaya Satya, Ravi, et al.
Publicado: (2010) -
Maize-IAS: a maize image analysis software using deep learning for high-throughput plant phenotyping
por: Zhou, Shuo, et al.
Publicado: (2021)