Evidence map›Paper›PMID 28595571›Full record

ArticleBMC plant biology2017

CottonFGD: an integrated functional genomics database for cotton.

Tao Zhu, Chengzhen Liang, Zhigang Meng, Guoqing Sun, Zhaoghong Meng, Sandui Guo, Rui Zhang

Abstract read
In one paragraph

Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers.

0numbers the graph read from it
0cells of the map it votes in
182citing 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

182 citing papers in PubMed.

  1. Article
  2. Genetic Dynamics of Allotetraploid Cotton Species (Plants (Basel, Switzerland) · 2026
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  7. Genome-Wide Identification and Characterization of theInternational journal of molecular sciences · 2025
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  10. Review
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  13. Insights into the Role ofInternational journal of molecular sciences · 2025
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  16. A GWAS identified loci and candidate genes associated with fiber quality traits in a new cotton MAGIC population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

122 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

7 authors.

Tao ZhuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Chengzhen LiangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhigang MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Guoqing SunBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Zhaoghong MengBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Sandui GuoBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. guosandui@caas.cn.
Rui ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. zhangrui@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCotton (Gossypium spp.) is the most important fiber and oil crop in the world. With the emergence of huge -omics data sets, it is essential to have an integrated functional genomics database that allows worldwide users to quickly and easily fetch and visualize genomic information. Currently available cotton-related databases have some weakness in integrating multiple kinds of -omics data from multiple Gossypium species. Therefore, it is necessary to establish an integrated functional genomics database for cotton. DESCRIPTION: We developed CottonFGD (Cotton Functional Genomic Database, https://cottonfgd.org ), an integrated database that includes genomic sequences, gene structural and functional annotations, genetic marker data, transcriptome data, and population genome resequencing data for all four of the sequenced Gossypium species. It consists of three interconnected modules: search, profile, and analysis. These modules make CottonFGD enable both single gene review and batch analysis with multiple kinds of -omics data and multiple species. CottonFGD also includes additional pages for data statistics, bulk data download, and a detailed user manual.

conclusionEquipped with specialized functional modules and modernized visualization tools, and populated with multiple kinds of -omics data, CottonFGD provides a quick and easy-to-use data analysis platform for cotton researchers worldwide.

Indexed as

Databases, GeneticForecastingGenetic MarkersGenetic VariationGenome, PlantGossypiumInformation Storage and RetrievalInternetMolecular Sequence AnnotationGenetic MarkersCottonDatabaseFunctional annotationGenetic markerRNA-seqVariation

Identifiers

PMID28595571
PMCPMC5465443

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Registered trials

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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.