ReviewMammalian genome : official journal of the International Mammalian Genome Society2012
Computational tools for comparative phenomics: the role and promise of ontologies.
Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 23 citations in OpenAlex.
- Missing Links Between Gene Function and Physiology in Genomics.Frontiers in physiology · 2022Article
- PathoPhenoDB, linking human pathogens to their phenotypes in support of infectious disease research.Scientific data · 2019Article
- Integrating phenotype ontologies with PhenomeNET.Journal of biomedical semantics · 2017Article
- Applications of comparative evolution to human disease genetics.Current opinion in genetics & development · 2015Review
- Disease insights through cross-species phenotype comparisons.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Review
- Diverse array-designed modes of combination therapies in Fangjiomics.Acta pharmacologica Sinica · 2015Review
- An ontology approach to comparative phenomics in plants.Plant methods · 2015Article
- Similarity-based search of model organism, disease and drug effect phenotypes.Journal of biomedical semantics · 2015Article
- Phage therapy: eco-physiological pharmacology.Scientifica · 2014Review
- Phenotypic overlap in the contribution of individual genes to CNV pathogenicity revealed by cross-species computational analysis of single-gene mutations in humans, mice and zebrafish.Disease models & mechanisms · 2013Article
- The Mammalian Phenotype Ontology as a unifying standard for experimental and high-throughput phenotyping data.Mammalian genome : official journal of the International Mammalian Genome Society · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
A major aim of the biological sciences is to gain an understanding of human physiology and disease. One important step towards such a goal is the discovery of the function of genes that will lead to a better understanding of the physiology and pathophysiology of organisms, which will ultimately lead to better diagnosis and therapy. Our increasing ability to phenotypically characterise genetic variants of model organisms coupled with systematic and hypothesis-driven mutagenesis is resulting in a wealth of information that could potentially provide insight into the functions of all genes in an organism. The challenge we are now facing is to develop computational methods that can integrate and analyse such data. The introduction of formal ontologies that make their semantics explicit and accessible to automated reasoning provides the tantalizing possibility of standardizing biomedical knowledge allowing for novel, powerful queries that bridge multiple domains, disciplines, species, and levels of granularity. We review recent computational approaches that facilitate the integration of experimental data from model organisms with clinical observations in humans. These methods foster novel cross-species analysis approaches, thereby enabling comparative phenomics and leading to the potential of translating basic discoveries from the model systems into diagnostic and therapeutic advances at the clinical level.
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.