ArticleGenomics2012
Relax with CouchDB--into the non-relational DBMS era of bioinformatics.
Article in Genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- RegulonDB v12.0: a comprehensive resource of transcriptional regulation in E. coli K-12.Nucleic acids research · 2024Article
- Benchmarking database systems for Genomic Selection implementation.Database : the journal of biological databases and curation · 2019Article
- Gigwa-Genotype investigator for genome-wide analyses.GigaScience · 2016Article
- BigQ: a NoSQL based framework to handle genomic variants in i2b2.BMC bioinformatics · 2015Article
- Big Data: the challenge for small research groups in the era of cancer genomics.British journal of cancer · 2015Review
- Open source libraries and frameworks for biological data visualisation: a guide for developers.Proteomics · 2015Review
- Big data and biomedical informatics: a challenging opportunity.Yearbook of medical informatics · 2014Article
- targetHub: a programmable interface for miRNA-gene interactions.Bioinformatics (Oxford, England) · 2013Article
- RefPrimeCouch--a reference gene primer CouchApp.Database : the journal of biological databases and curation · 2013Article
- Exposome informatics: considerations for the design of future biomedical research information systems.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
With the proliferation of high-throughput technologies, genome-level data analysis has become common in molecular biology. Bioinformaticians are developing extensive resources to annotate and mine biological features from high-throughput data. The underlying database management systems for most bioinformatics software are based on a relational model. Modern non-relational databases offer an alternative that has flexibility, scalability, and a non-rigid design schema. Moreover, with an accelerated development pace, non-relational databases like CouchDB can be ideal tools to construct bioinformatics utilities. We describe CouchDB by presenting three new bioinformatics resources: (a) geneSmash, which collates data from bioinformatics resources and provides automated gene-centric annotations, (b) drugBase, a database of drug-target interactions with a web interface powered by geneSmash, and (c) HapMap-CN, which provides a web interface to query copy number variations from three SNP-chip HapMap datasets. In addition to the web sites, all three systems can be accessed programmatically via web services.
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.