Evidence map›Paper›PMID 24203703›Full record

ArticleNucleic acids research2014

CottonGen: a genomics, genetics and breeding database for cotton research.

Jing Yu, Sook Jung, Chun-Huai Cheng, Stephen P Ficklin, Taein Lee, Ping Zheng, Don Jones, Richard G Percy, Dorrie Main

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
–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

163 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. Genome-wide identification ofFrontiers in plant science · 2026
    Article
  9. Genetic basis and role of exotic accessions in cultivated cotton fiber quality improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  10. Genes · 2025
    Article
  11. Article
  12. Article
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  14. Article
  15. Article
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  17. Genome-Wide Identification and Expression Analysis ofInternational journal of molecular sciences · 2024
    Article
  18. Article
  19. Article
  20. Article

103 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jing YuDepartment of Horticulture, Washington State University, Pullman, WA 99164-6414, USA, Cotton Incorporated, Cary, NC 27513, USA and Crop Germplasm Research Unit, USDA-ARS-SPARC, College Station, TX 77845, USA.
Sook Jung
Chun-Huai Cheng
Stephen P Ficklin
Taein Lee
Ping Zheng
Don Jones
Richard G Percy
Dorrie Main

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CottonGen (http://www.cottongen.org) is a curated and integrated web-based relational database providing access to publicly available genomic, genetic and breeding data for cotton. CottonGen supercedes CottonDB and the Cotton Marker Database, with enhanced tools for easier data sharing, mining, visualization and data retrieval of cotton research data. CottonGen contains annotated whole genome sequences, unigenes from expressed sequence tags (ESTs), markers, trait loci, genetic maps, genes, taxonomy, germplasm, publications and communication resources for the cotton community. Annotated whole genome sequences of Gossypium raimondii are available with aligned genetic markers and transcripts. These whole genome data can be accessed through genome pages, search tools and GBrowse, a popular genome browser. Most of the published cotton genetic maps can be viewed and compared using CMap, a comparative map viewer, and are searchable via map search tools. Search tools also exist for markers, quantitative trait loci (QTLs), germplasm, publications and trait evaluation data. CottonGen also provides online analysis tools such as NCBI BLAST and Batch BLAST.

Indexed as

Databases, GeneticGenome, PlantBreedingExpressed Sequence TagsGenes, PlantGenetic MarkersGenomicsGossypiumInternetQuantitative Trait LociGenetic Markers

Identifiers

PMID24203703
PMCPMC3964939

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.