ArticleMammalian genome : official journal of the International Mammalian Genome Society2015
Application of comparative biology in GO functional annotation: the mouse model.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- The mouse Gene Expression Database (GXD): 2021 update.Nucleic acids research · 2021Article
- The mouse Gene Expression Database (GXD): 2019 update.Nucleic acids research · 2019Article
- Sensing the cilium, digital capture of ciliary data for comparative genomics investigations.Cilia · 2018Article
- The mouse Gene Expression Database (GXD): 2017 update.Nucleic acids research · 2017Article
- Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse.Nucleic acids research · 2017Article
- Mouse genome database 2016.Nucleic acids research · 2016Article
- Orthology for comparative genomics in the mouse genome database.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Review
- Mouse Genome Informatics (MGI): reflecting on 25 years.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
The Gene Ontology (GO) is an important component of modern biological knowledge representation with great utility for computational analysis of genomic and genetic data. The Gene Ontology Consortium (GOC) consists of a large team of contributors including curation teams from most model organism database groups as well as curation teams focused on representation of data relevant to specific human diseases. Key to the generation of consistent and comprehensive annotations is the development and use of shared standards and measures of curation quality. The GOC engages all contributors to work to a defined standard of curation that is presented here in the context of annotation of genes in the laboratory mouse. Comprehensive understanding of the origin, epistemology, and coverage of GO annotations is essential for most effective use of GO resources. Here the application of comparative approaches to capturing functional data in the mouse system is described.
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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.