Evidence map›Paper›PMID 37486120›Full record

ReviewJournal of integrative bioinformatics2023

Integrating omics databases for enhanced crop breeding.

Haoyu Chao, Shilong Zhang, Yueming Hu, Qingyang Ni, Saige Xin, Liang Zhao, Vladimir A Ivanisenko, Yuriy L Orlov, Ming Chen

Abstract readReview
In one paragraph

Review in Journal of integrative bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  2. Article
  3. TheGenes · 2025
    Article
  4. Article
  5. Article
  6. Review
  7. Genomic Analysis of Romanian Lycium Genotypes: ExploringInternational journal of molecular sciences · 2024
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. BGRS: bioinformatics of genome regulation and data integration.Journal of integrative bioinformatics · 2023
    Article
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.

Haoyu ChaoDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Shilong ZhangDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Yueming HuDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Qingyang NiDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Saige XinDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Liang ZhaoDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Vladimir A IvanisenkoInstitute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.
Yuriy L OrlovInstitute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk 630090, Russia.ORCID https://orcid.org/0000-0003-0587-1609
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop plant breeding involves selecting and developing new plant varieties with desirable traits such as increased yield, improved disease resistance, and enhanced nutritional value. With the development of high-throughput technologies, such as genomics, transcriptomics, and metabolomics, crop breeding has entered a new era. However, to effectively use these technologies, integration of multi-omics data from different databases is required. Integration of omics data provides a comprehensive understanding of the biological processes underlying plant traits and their interactions. This review highlights the importance of integrating omics databases in crop plant breeding, discusses available omics data and databases, describes integration challenges, and highlights recent developments and potential benefits. Taken together, the integration of omics databases is a critical step towards enhancing crop plant breeding and improving global food security.

Indexed as

GenomicsPlant BreedingDatabases, FactualPhenotypePlantscrop plant breedingdatabasesdata integrationomicsplant biology

Identifiers

PMID37486120
PMCPMC10777369

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.