Cargando…
Bridging Genomics to Phenomics at Atomic Resolution through Variation Spatial Profiling
To understand the impact of genome sequence variation (the genotype) responsible for biological diversity and human health (the phenotype) including cystic fibrosis and Alzheimer’s disease, we developed a Gaussian-process-based machine learning (ML) approach, variation spatial profiling (VSP). VSP u...
Autores principales: | Wang, Chao, Balch, William E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261431/ https://www.ncbi.nlm.nih.gov/pubmed/30134164 http://dx.doi.org/10.1016/j.celrep.2018.07.059 |
Ejemplares similares
-
Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold
por: Anglès, Frédéric, et al.
Publicado: (2022) -
Author Correction: Spatial covariance analysis reveals the residue-by-residue thermodynamic contribution of variation to the CFTR fold
por: Anglès, Frédéric, et al.
Publicado: (2022) -
PROPHECY—a database for high-resolution phenomics
por: Fernandez-Ricaud, Luciano, et al.
Publicado: (2005) -
Converging phenomics and genomics to study natural variation in plant photosynthetic efficiency
por: van Bezouw, Roel F. H. M., et al.
Publicado: (2019) -
Trait ontology analysis based on association mapping studies bridges the gap between crop genomics and Phenomics
por: Pan, Qingchun, et al.
Publicado: (2019)