A curated database of candidate human ageing-related genes and genes associated with longevity and/or ageing in model organisms.
A curated database of genes associated with dietary restriction in model organisms either from genetic manipulation experiments or gene expression profiling.
Database of human genetic variants associated with longevity.
Database of human genes associated with cellular senescence.
Projects focused on gene expression profiling of ageing and of dietary manipulations of ageing, such as caloric restriction.
Information on developing genomic resources and methods for studying long-lived species.
Studies focused on cancer, in particular using genomics and bioinformatics approaches.
Software for ageing research, including the Ageing Research Computational Tools (ARCT) perl toolkit.
A curated database of compounds that modulate longevity in model organisms.
A curated database of ageing and life history information in animals, including extensive longevity records.
The benchmark genome assembly and annotation of the long-lived, cancer-resistant naked mole-rat (Heterocephalus glaber).
A high-coverage genome of the bowhead whale (Balaena mysticetus), the longest-lived mammal.
Analyses using the AnAge database to study the evolution of longevity and ageing in vertebrate lineages.
A portal of ageing changes covering different biological levels, integrating molecular, physiological and pathological age-related data.
An educational and information resource on the science of ageing.
The bibliographic library for ageing research.
The WhosAge database contains people and biotech companies that are contributing to increase our understanding of ageing and life-extension.
Our lab leads the upkeep and development of HAGR.
Search Bibliography
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| BIBLIO ID: 1064 | |
| Author and year | Kingswood and Kumamoto (1996) |
| Title | Madoqua guentheri |
| Journal citation | Mamm Species, 539:1-10 |
| Publication type | Journal article |
| Citations in AnAge (1) | Madoqua guentheri |
| External link | Search Google or Search Google Scholar |
Comments, suggestions, ideas, and bug reports are welcome. Please contact us.
HAGR may be freely used for all purposes under some conditions.
