ArticleDatabase : the journal of biological databases and curation2022
COTTONOMICS: a comprehensive cotton multi-omics database.
Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 24 citations in OpenAlex.
- Article
- Empowering Plant Biotechnology Research: Super-Pangenomes as a Novel Arsenal for Crop Breeding and Improvement.Molecular biotechnology · 2026Review
- Characterization, evolution, and expression profiling of cotton DUF677 protein family and their potential role in drought and salt stress response.BMC plant biology · 2026Article
- Article
- Integration of GWAS and WGCNA reveals novel candidate genes for cottonseed oil content in Gossypium hirsutum L.BMC plant biology · 2026Article
- Genome-Wide Characterization and Expression Profiling of theLife (Basel, Switzerland) · 2026Article
- Effects of nitrogen application frequency under integrated water and fertiliser management on soil physicochemical properties, dry matter accumulation, photosynthetic characteristics and yield.Scientific reports · 2026Article
- Identification and Expression Analysis of theLife (Basel, Switzerland) · 2026Article
- Structural Variation and 3D Genome-Driven DNA/RNA Methylation Divergence Contributing to Cotton Fiber Domestication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Genetic Diversity Analysis of Cotton Cultivars Using a 40K Liquid Chip in Northern Xinjiang.International journal of molecular sciences · 2026Article
- Genome-wide identification of the PI4P5K gene family in cotton and role ofFrontiers in plant science · 2026Article
- Review
- A GhSnRK10-GhRopGEF5-GhROP10 signaling pathway regulates cotton fiber cell growth.Plant communications · 2025Article
- Transposon Dynamics Drive Genome Evolution and Regulate Genetic Mechanisms of Agronomic Traits in Cotton.Plants (Basel, Switzerland) · 2025Article
- A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing.Plants (Basel, Switzerland) · 2025Review
- Identification and Analysis of the Plasma Membrane HPlants (Basel, Switzerland) · 2024Article
- Genome-Wide Identification of theBiology · 2024Article
- High-quality genomes of Bombax ceiba and Ceiba pentandra provide insights into the evolution of Malvaceae species and differences in their natural fiber development.Plant communications · 2024Article
- Transcriptional and translational landscape fine-tune genome annotation and explores translation control in cotton.Journal of advanced research · 2024Article
- QTL Verification and Candidate Gene Screening of Fiber Quality and Lint Percentage in the Secondary Segregating Population ofPlants (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid advancement of sequencing technology, including next-generation sequencing (NGS), has greatly improved sequencing efficiency and decreased cost. Consequently, huge amounts of genomic, transcriptomic and epigenetic data concerning cotton species have been generated and released. These large-scale data provide immense opportunities for the study of cotton genomic structure and evolution, population genetic diversity and genome-wide mining of excellent genes for important traits. However, the complexity of NGS data also causes distress, as it cannot be utilized easily. Here, we presented the cotton omics data platform COTTONOMICS (http://cotton.zju.edu.cn/), an easily accessible web database that integrates 32.5 TB of omics data including seven assembled genomes, resequencing data from 1180 allotetraploid cotton accessions and RNA-sequencing (RNA-seq), small RNA-sequencing (smRNA-seq), Chromatin Immunoprecipitation sequencing (ChIP-seq), DNase hypersensitive sites sequencing (DNase-seq) and Bisulfite sequencing (BS-seq). COTTONOMICS allows users to employ various search scenarios and retrieve information concerning the cotton genomes, genomic variation (Single nucleotide polymorphisms (SNPs) and Insertion and Deletion (InDels)), gene expression, smRNA expression, epigenetic regulation and quantitative trait locus (QTLs). The user-friendly web interface offers a variety of modules for storing, retrieving, analyzing and visualizing cotton multi-omics data to diverse ends, thereby enabling users to decipher cotton population genetics and identify potential novel genes that influence agronomically beneficial traits. Database URL: http://cotton.zju.edu.cn.
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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.