Welcome to QTP-GMD!

The Qinghai-Tibetan Plateau Grass Multi-omics Database (QTP-GMD) is a curated and integrated multi-omics platform dedicated to the grass family (Poaceae) of the QTP. It incorporates datasets from genomics, transcriptomics, metabolomics, proteomics, epigenomics, microbiomics and phenomics. In addition, a suite of user-friendly online bioinformatics tools is integrated to facilitate the utilization of these datasets and accelerate breeding efforts.

Database

Germplasm

Species

Introduction and global distribution of species.

Genomics

Genomics

Integration of grass genome information and genomic data sources.

Transcriptomics

Transcriptomics

Collection of grass transcriptome data spanning multiple tissues, growth stages, and stress treatments.

Metabolomics

Metabolomics

Collection of grass metabolome data spanning multiple tissues, growth stages, and stress treatments.

Proteomics

Proteomics

Collection of grass proteome data spanning multiple tissues, growth stages, and stress treatments.

Epigenomics

Epigenomics

Collected published data resources on four major epigenetic mechanisms: DNA methylation, histone modification, chromatin remodeling, and non-coding RNA.

Microbiomics

Microbiomics

Collection of microbial sequencing data and cultivable strain types from grass, spanning multiple tissues, growth stages, and stress treatments.

Phenotype

Phenotype

Phenotypic dataset for grass, including trait records, location, planting date, stress treatments, and original data sources.