AI Agent-Powered Wheat Pan-Omics Platform
If use WheatOmics in publication, please cite:
Shengwei Ma, Meng Wang, Jianhui Wu, Weilong Guo, Yongming Chen, Guangwei Li, Yanpeng Wang, Weiming Shi, Guangmin Xia, Daolin Fu, Zhensheng Kang, Fei Ni. (2021) WheatOmics: a platform combining multiple omics data to accelerate functional genomics studies in wheat. Mol Plant 14:1965–1968.
Integrating multi-omics to empower next-generation wheat breeding.
View DetailsAnalysis workspace
Query by Gene ID or Genomic Interval
Sequence Similarity Search
Query by Pfam ID
Primer Design
Gene ID Converter
Query by Gene ID
Query by Gene ID
Co-expression Analysis
Single-cell RNA Expression
Protein Interactions Search
Phase Separation-associated Proteins
Protein Post-translational Modification Sites
Wheat Known Genes Search
Gene-centered annotations and ID mapping
Query Gene Synteny
Gene Information for a Genome Interval
CAPS/dCAPS Primer Design
Pre-computed BLAST Alignment
Multi-purpose Sequence Processing
Orthogroup Browser & Search
Wheat Variants & Population Genotypes
Expression Quantitative Trait Loci
Gene Ontology & KEGG Pathways
Genome Synteny & Collinearity
Triticeae Literature Collection
Genome browser tracks
Genes, TEs, lncRNAs, SSRs and other reference annotations.
PacBio, RNA-seq, EST, cDNA and full-length transcript evidence.
SSRs, DArTs, RFLPs and SNP arrays including 90K, 660K and 820K.
GBS, exome and WGS variation, including SNPs and InDels.
sRNAs, DNA methylation, histone modification and 3D chromatin.
Mutant resources for Jimai22, Cadenza and Kronos.
Genome-wide transcription factor binding sites.
Pre-designed CRISPR/Cas9 sgRNA resources.
miRNAs, siRNAs, phasiRNAs and degradome evidence.
Integrated genomes, transcriptomes, variants, proteins and more.
A rich collection of bioinformatics tools for wheat research.
Intuitive, fast and efficient data browsing experience.
Promoting data sharing and accelerating discovery.
