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 the Supplementary Tables for Suriyalaksh et al. Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes.
Departament: Enginyeria Química
DOI: 10.5281/zenodo.5499464
Tipus de document: info:eu-repo/semantics/other
DOI de la publicació relacionada: 10.1016/j.isci.2021.103663
Data alta repositori: 2021-09-14
Autor: Sales-Pardo, Marta
Paraules clau: GRN inference, stochastic block models, glp-1 C. elegans, ageing, lifespan screens
Grup de recerca: Network and Data Science
Any de publicació de la dataset: 2021
Títol del conjunt de dades: Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes - Supplementary Tables
Repositori URV