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.

Document type: info:eu-repo/semantics/other

DOI: 10.5281/zenodo.4382337

Related publications: 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

Research group: Network and Data Science

Departament: Enginyeria Química

Author: Sales-Pardo, Marta

Repository ingest date: 2020-12-21

Dataset publication year: 2020

Subject matter: Genètica

Researcher identifier: 0000-0002-8140-6525

Related publication's DOI: 10.1016/j.isci.2021.103663

Language: en

Published by (editorial): Universitat Rovira i Virgili (URV)

Access rights: info:eu-repo/semantics/openAccess

Abstract: 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.