Materia: Genètica
Derechos de acceso: info:eu-repo/semantics/openAccess
Identificador del investigador: 0000-0002-8140-6525
Publicado por (editorial): Universitat Rovira i Virgili (URV)
Publicaciones relacionadas: Suriyalaksh, M., Raimondi, C., Mains, A., Segonds-Pichon, A., Mukhtar, S., Murdoch, S., Aldunate, R., Krueger, F., Guimerà, R., Andrews, S., Sales-Pardo, M., & Casanueva, O. (2022). Gene regulatory network inference in long-lived C. elegans reveals modular properties that are predictive of novel aging genes. iScience, 25(1), 103663. https://doi.org/10.1016/j.isci.2021.103663
Resumen: This repository contains Supplementary Information for manuscript Suriyalaksh et al Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes corresponding to the curation of physical gene-gene interactions for young adult C elegans worms.
Departamento: Enginyeria Química
DOI: 10.5281/zenodo.4382337
Tipo de documento: info:eu-repo/semantics/other
DOI de la publicación relacionada: 10.1016/j.isci.2021.103663
Fecha alta repositorio: 2020-12-21
Autor: Sales-Pardo, Marta
Palabras clave: C.elegans, gene-gene physical interactions
Grupo de investigación: Network and Data Science
Año de publicación de la dataset: 2020
Título del conjunto de datos: Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes - Database of Physical gene-gene Interactions in young adult C.elegans.
Repositori URV