Repositori URV

Matèria: Genètica

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

Identificador del investigador: 0000-0002-8140-6525

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

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

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.

Departament: Enginyeria Química

DOI: 10.5281/zenodo.4382337

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

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

Data alta repositori: 2020-12-21

Autor: Sales-Pardo, Marta

Paraules clau: C.elegans, gene-gene physical interactions

Grup de recerca: Network and Data Science

Any de publicació de la dataset: 2020

Títol del conjunt de dades: 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.