A resource to explore the discovery of rare diseases and their causative genes
Measurement(s) Gene_Associated_With_Disease • genetic disorder Technology Type(s) digital curation Factor Type(s) disease Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14140661
Guardado en:
Autores principales: | Friederike Ehrhart, Egon L. Willighagen, Martina Kutmon, Max van Hoften, Leopold M. G. Curfs, Chris T. Evelo |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6fe54ea16ad4454ebd64977d50fff91c |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
por: Friederike Ehrhart, et al.
Publicado: (2021) -
Ten simple rules for creating reusable pathway models for computational analysis and visualization.
por: Kristina Hanspers, et al.
Publicado: (2021) -
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery
por: Paola Paci, et al.
Publicado: (2021) -
CyTargetLinker: a cytoscape app to integrate regulatory interactions in network analysis.
por: Martina Kutmon, et al.
Publicado: (2013) -
Informal economy and informal citizenship: exploring causation and connectivity in socio-politico shifts in Jamaica
por: Schoburgh, Eris D.
Publicado: (2014)