ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2011
Computational biology for ageing.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Advancing age is associated with gene expression changes resembling mTOR inhibition: evidence from two human populations.Mechanisms of ageing and development · 2012Trial
- Article
- Machine learning-based predictions of dietary restriction associations across ageing-related genes.BMC bioinformatics · 2022Article
- A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks.Ageing research reviews · 2020Review
- Hallmarks of senescence and aging.Biochemia medica · 2019Review
- Divergent Aging of Isogenic Yeast Cells Revealed through Single-Cell Phenotypic Dynamics.Cell systems · 2019Article
- Snapshot: Implications for mTOR in Aging-related Ischemia/Reperfusion Injury.Aging and disease · 2019Review
- Human Ageing Genomic Resources: new and updated databases.Nucleic acids research · 2018Article
- Inflammation Thread Runs across Medical Laboratory Specialities.Mediators of inflammation · 2016Review
- Review
- Linking gene expression to phenotypes via pathway information.Journal of biomedical semantics · 2015Article
- Using answer set programming to integrate RNA expression with signalling pathway information to infer how mutations affect ageing.PloS one · 2012Article
- The new science of ageing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput genomic and proteomic technologies have generated a wealth of publicly available data on ageing. Easy access to these data, and their computational analysis, is of great importance in order to pinpoint the causes and effects of ageing. Here, we provide a description of the existing databases and computational tools on ageing that are available for researchers. We also describe the computational approaches to data interpretation in the field of ageing including gene expression, comparative and pathway analyses, and highlight the challenges for future developments. We review recent biological insights gained from applying bioinformatics methods to analyse and interpret ageing data in different organisms, tissues and conditions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.