ArticleBMC biology2016
Model organism databases: essential resources that need the support of both funders and users.
Article in BMC biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
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- Propagation, detection and correction of errors using the sequence database network.Briefings in bioinformatics · 2022Review
- CaveCrawler: an interactive analysis suite for cavefish bioinformatics.G3 (Bethesda, Md.) · 2022Article
- The Notable Achievements and the Prospects of Bacterial Pathogen Genomics.Microorganisms · 2022Article
- Making biological knowledge useful for humans and machines.Genetics · 2022Article
- JaponicusDB: rapid deployment of a model organism database for an emerging model species.Genetics · 2022Article
- From Petri Plates to Petri Nets, a revolution in yeast biology.FEMS yeast research · 2022Article
- The current state of SubtiWiki, the database for the model organism Bacillus subtilis.Nucleic acids research · 2022Article
- Tripal, a community update after 10 years of supporting open source, standards-based genetic, genomic and breeding databases.Briefings in bioinformatics · 2021Article
- The Descent of Databases.Genetics · 2021Article
- An agenda-setting paper on data sharing platforms: euCanSHare workshop.Open research Europe · 2021Article
- Hybrid-architectured double-promoter expression systems enhance and upregulate-deregulated gene expressions in Pichia pastoris in methanol-free media.Applied microbiology and biotechnology · 2020Article
- Openness and trust in data-intensive science: the case of biocuration.Medicine, health care, and philosophy · 2020Article
- Community curation in PomBase: enabling fission yeast experts to provide detailed, standardized, sharable annotation from research publications.Database : the journal of biological databases and curation · 2020Review
- UPCLASS: a deep learning-based classifier for UniProtKB entry publications.Database : the journal of biological databases and curation · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
Modern biomedical research depends critically on access to databases that house and disseminate genetic, genomic, molecular, and cell biological knowledge. Even as the explosion of available genome sequences and associated genome-scale data continues apace, the sustainability of professionally maintained biological databases is under threat due to policy changes by major funding agencies. Here, we focus on model organism databases to demonstrate the myriad ways in which biological databases not only act as repositories but actively facilitate advances in research. We present data that show that reducing financial support to model organism databases could prove to be not just scientifically, but also economically, unsound.
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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.