Suggest an article

Help us build this resource faster. Suggest the papers that should be here.

Citation example: Riffenburgh RH. Statistics in medicine. 2nd ed. Amsterdam (Netherlands): Elsevier Academic Press; c2006. Chapter 24, Regression and correlation methods; p. 447-486.

All fields are required.

European Union EU GDPR notice: This website is in compliance with the EU General Data Protection Regulation (GDPR). Please note that the form above, collects e-mail addresses from submitters of article suggestions. We need this information to potentially contact the submitter in case the reason for suggesting a certain scientific article for inclusion is not straightforward. The data is kept until the article suggestion is fully processed. If however at any time you would like your information to be completely erased from our database, please send an e-mail to the head of our group , and we will immediately proceed to do this. No other personal information (e.g. cookies, location, etc) is collected by our website.
About

SynergyAge database hosts high-quality, manually curated information about the synergistic and antagonistic lifespan effects of genetic interventions in model organisms, also allowing users to explore the longevity relationships between genes in a visual way.

Read more about SynergyAge database

How to cite us

If you would like to cite this database please use:

Bunu, G., Toren, D., Ion, C. et al. SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes. Sci Data 7, 366 (2020). https://doi.org/10.1038/s41597-020-00710-z

Contact
Robi Tacutu, Ph.D.
Head: Systems Biology of Aging Group, Bioinformatics & Structural Biochemistry Department
Institute of Biochemistry, Ground floor
Splaiul Independentei 296, Bucharest, Romania
Email:

Group webpage: www.aging-research.group