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.

Tipus de document: info:eu-repo/semantics/other

DOI: 10.5281/zenodo.4382337

Publicacions relacionades: 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

Grup de recerca: Network and Data Science

Departament: Enginyeria Química

Autor: Sales-Pardo, Marta

Data alta repositori: 2020-12-21

Any de publicació de la dataset: 2020

Matèria: Genètica

Identificador del investigador: 0000-0002-8140-6525

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

Idioma: en

Publicat per (editora): Universitat Rovira i Virgili (URV)

Drets d'accés: info:eu-repo/semantics/openAccess

Resum: 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.