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.

Tipo de documento: info:eu-repo/semantics/other

DOI: 10.5281/zenodo.4382337

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

Grupo de investigación: Network and Data Science

Departamento: Enginyeria Química

Autor: Sales-Pardo, Marta

Fecha alta repositorio: 2020-12-21

Año de publicación de la dataset: 2020

Materia: Genètica

Identificador del investigador: 0000-0002-8140-6525

DOI de la publicación relacionada: 10.1016/j.isci.2021.103663

Idioma: en

Publicado por (editorial): Universitat Rovira i Virgili (URV)

Derechos de acceso: info:eu-repo/semantics/openAccess

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.