ArticleBioinformatics (Oxford, England)2010
Phenoclustering: online mining of cross-species phenotypes.
Article in Bioinformatics (Oxford, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed.
- Connecting links with code: AI in morphological evolution.Frontiers in bioinformatics · 2026Review
- PheSom: a term frequency-based method for measuring human phenotype similarity on the basis of MeSH vocabulary.Frontiers in genetics · 2023Article
- Getting to the roots of it: Genetic and hormonal control of root architecture.Frontiers in plant science · 2013Article
- Co-clustering phenome-genome for phenotype classification and disease gene discovery.Nucleic acids research · 2012Article
- 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
- Mouse genetic and phenotypic resources for human genetics.Human mutation · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
summaryRecently, several methods for analyzing phenotype data have been published, but only few are able to cope with data sets generated in different studies, with different methods, or for different species. We developed an online system in which more than 300 000 phenotypes from a wide variety of sources and screening methods can be analyzed together. Clusters of similar phenotypes are visualized as networks of highly similar phenotypes, inducing gene groups useful for functional analysis. This system is part of PhenomicDB, providing the world's largest cross-species phenotype data collection with a tool to mine its wealth of information. AVAILABILITY: Freely available at http://www.phenomicdb.de
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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.