ArticleNucleic acids research2016
Information Commons for Rice (IC4R).
Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- The role of gene presence-absence variations on genetic incompatibility in Asian rice.The New phytologist · 2023Article
- GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals.Nucleic acids research · 2023Article
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2021.Nucleic acids research · 2021Article
- Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice.Frontiers in plant science · 2021Review
- The Genome-Wide EMS Mutagenesis Bias Correlates With Sequence Context and Chromatin Structure in Rice.Frontiers in plant science · 2021Article
- ThRSDB: a database of Thai rice starch composition, molecular structure and functionality.Database : the journal of biological databases and curation · 2020Article
- SnpHub: an easy-to-set-up web server framework for exploring large-scale genomic variation data in the post-genomic era with applications in wheat.GigaScience · 2020Article
- IC4R-2.0: Rice Genome Reannotation Using Massive RNA-seq Data.Genomics, proteomics & bioinformatics · 2020Article
- SR4R: An Integrative SNP Resource for Genomic Breeding and Population Research in Rice.Genomics, proteomics & bioinformatics · 2020Article
- Database Resources of the National Genomics Data Center in 2020.Nucleic acids research · 2020Article
- Rice Stress-Resistant SNP Database.Rice (New York, N.Y.) · 2019Article
- Infrastructures of systems biology that facilitate functional genomic study in rice.Rice (New York, N.Y.) · 2019Review
- Database Resources of the BIG Data Center in 2019.Nucleic acids research · 2019Article
- RiceRelativesGD: a genomic database of rice relatives for rice research.Database : the journal of biological databases and curation · 2019Article
- Rice Genomics: over the Past Two Decades and into the Future.Genomics, proteomics & bioinformatics · 2018Review
- Article
- Database Resources of the BIG Data Center in 2018.Nucleic acids research · 2018Article
- A comprehensive review of web-based resources of non-coding RNAs for plant science research.International journal of biological sciences · 2018Review
- Agronomic Linked Data (AgroLD): A knowledge-based system to enable integrative biology in agronomy.PloS one · 2018Article
- Protein kinase A-mediated phosphorylation of the Broad-Complex transcription factor in silkworm suppresses its transcriptional activity.The Journal of biological chemistry · 2017Article
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
Rice is the most important staple food for a large part of the world's human population and also a key model organism for plant research. Here, we present Information Commons for Rice (IC4R; http://ic4r.org), a rice knowledgebase featuring adoption of an extensible and sustainable architecture that integrates multiple omics data through community-contributed modules. Each module is developed and maintained by different committed groups, deals with data collection, processing and visualization, and delivers data on-demand via web services. In the current version, IC4R incorporates a variety of rice data through multiple committed modules, including genome-wide expression profiles derived entirely from RNA-Seq data, resequencing-based genomic variations obtained from re-sequencing data of thousands of rice varieties, plant homologous genes covering multiple diverse plant species, post-translational modifications, rice-related literatures and gene annotations contributed by the rice research community. Unlike extant related databases, IC4R is designed for scalability and sustainability and thus also features collaborative integration of rice data and low costs for database update and maintenance. Future directions of IC4R include incorporation of other omics data and association of multiple omics data with agronomically important traits, dedicating to build IC4R into a valuable knowledgebase for both basic and translational researches in rice.
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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.