Cargando…
Knowledge Discovery in Biological Databases for Revealing Candidate Genes Linked to Complex Phenotypes
Genetics and “omics” studies designed to uncover genotype to phenotype relationships often identify large numbers of potential candidate genes, among which the causal genes are hidden. Scientists generally lack the time and technical expertise to review all relevant information available from the li...
Autores principales: | Hassani-Pak, Keywan, Rawlings, Christopher |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042805/ https://www.ncbi.nlm.nih.gov/pubmed/28609292 http://dx.doi.org/10.1515/jib-2016-0002 |
Ejemplares similares
-
Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach
por: Brandizi, Marco, et al.
Publicado: (2018) -
Developing integrated crop knowledge networks to advance candidate gene discovery
por: Hassani-Pak, Keywan, et al.
Publicado: (2016) -
KnetMaps: a BioJS component to visualize biological knowledge networks
por: Singh, Ajit, et al.
Publicado: (2018) -
Ondex Web: web-based visualization and exploration of heterogeneous biological networks
por: Taubert, Jan, et al.
Publicado: (2014) -
KnetMiner: a comprehensive approach for supporting evidence‐based gene discovery and complex trait analysis across species
por: Hassani‐Pak, Keywan, et al.
Publicado: (2021)