Evidence map›Paper›PMID 31107941›Full record

ArticleGigaScience2019

Rice Galaxy: an open resource for plant science.

Venice Juanillas, Alexis Dereeper, Nicolas Beaume, Gaetan Droc, Joshua Dizon, John Robert Mendoza, Jon Peter Perdon, Locedie Mansueto, Lindsay Triplett, Jillian Lang and 11 more

Erratum issuedAbstract read
In one paragraph

Article in GigaScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Genomics and transcriptomics to protect rice (Frontiers in plant science · 2022
    Review
  4. Genomic Prediction: Progress and Perspectives for Rice Improvement.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. TASUKE+: a web-based platform for exploring genome-wide association studies results and large-scale resequencing data.DNA research : an international journal for rapid publication of reports on genes and genomes · 2019
    Article
  11. Article
  12. A Pathovar ofFrontiers in plant science · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Venice JuanillasInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Alexis DereeperInstitut de recherche pour le développement (IRD), University of Montpellier, DIADE, IPME, Montpellier, France.
Nicolas BeaumeInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Gaetan DrocCIRAD, UMR AGAP, F-34398 Montpellier, France.
Joshua DizonInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
John Robert MendozaAdvanced Science and Technology Institute, Department of Science and Technology, Quezon City, Philippines.
Jon Peter PerdonAdvanced Science and Technology Institute, Department of Science and Technology, Quezon City, Philippines.
Locedie MansuetoInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Lindsay TriplettDepartment of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
Jillian LangDepartment of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
Gabriel ZhouIndiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
Kunalan RatharanjanIndiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
Beth PlaleIndiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA.
Jason HagaNational Institute of Advanced Industrial Science and Technology, AIST Tsukuba Central 1,1-1-1 Umezono, Tsukuba, Ibaraki 305-8560, Japan.
Jan E LeachDepartment of Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO 80523-1177, USA.
Manuel RuizCIRAD, UMR AGAP, F-34398 Montpellier, France.
Michael ThomsonInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Nickolai AlexandrovInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Pierre LarmandeInstitut de recherche pour le développement (IRD), University of Montpellier, DIADE, IPME, Montpellier, France.
Tobias KretzschmarInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.
Ramil P MauleonInternational Rice Research Institute, DAPO Box 7777, Metro Manila 1301, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice molecular genetics, breeding, genetic diversity, and allied research (such as rice-pathogen interaction) have adopted sequencing technologies and high-density genotyping platforms for genome variation analysis and gene discovery. Germplasm collections representing rice diversity, improved varieties, and elite breeding materials are accessible through rice gene banks for use in research and breeding, with many having genome sequences and high-density genotype data available. Combining phenotypic and genotypic information on these accessions enables genome-wide association analysis, which is driving quantitative trait loci discovery and molecular marker development. Comparative sequence analyses across quantitative trait loci regions facilitate the discovery of novel alleles. Analyses involving DNA sequences and large genotyping matrices for thousands of samples, however, pose a challenge to non-computer savvy rice researchers.

findingsThe Rice Galaxy resource has shared datasets that include high-density genotypes from the 3,000 Rice Genomes project and sequences with corresponding annotations from 9 published rice genomes. The Rice Galaxy web server and deployment installer includes tools for designing single-nucleotide polymorphism assays, analyzing genome-wide association studies, population diversity, rice-bacterial pathogen diagnostics, and a suite of published genomic prediction methods. A prototype Rice Galaxy compliant to Open Access, Open Data, and Findable, Accessible, Interoperable, and Reproducible principles is also presented.

conclusionsRice Galaxy is a freely available resource that empowers the plant research community to perform state-of-the-art analyses and utilize publicly available big datasets for both fundamental and applied science.

Indexed as

Databases, GeneticSoftwareGenomicsOryzaPlant BreedingSeed BankbreedingGalaxy projectgenomesgenome-wide association studieshigh-density genotypesreproducibilityricesingle-nucleotide polymorphismworkflow

Identifiers

PMID31107941
PMCPMC6527052

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.