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The database of human DNA Methylation and Cancer (MethyCancer) is developed to study interplay of DNA methylation, gene expression and cancer. It hosts both highly integrated data of DNA methylation, cancer-related gene, mutation and cancer information from public resources, and the CpG Island (CGI) clones derived from our large-scale sequencing.

Circular RNAs (circRNAs) represent recently discovered novel regulatory non-coding RNAs. While they are present in many eukaryotes, there has been limited research on plant circRNAs. We developed PlantCircRNA (https://plant.deepbiology.cn/PlantCircRNA/) to fill this gap. The two most important features of PlantCircRNA are (1) it incorporates circRNAs from 94 plant species based on 39,245 RNA-sequencing samples, and (2) it imports the original AtCircDB and CropCircDB databases. We manually curated all circRNAs from published articles, and imported them into the database. Furthermore, we added detailed information of tissue as well as abiotic stresses to the database. To help users understand these circRNAs, the database includes a detection score to measure their consistency and a naming system following the guidelines recently proposed for eukaryotes. Finally, we developed a comprehensive platform for users to visualize, analyze, and download data regarding specific circRNAs. This resource will serve as a home for plant circRNAs and provide the community with unprecedented insights into these mysterious molecule.

EndoQuad enables users to easily access, download, and repurpose endogenous G4s (eG4s) data for their own research, and contains experimentally validated DNA eG4s.

GHDDI Info Sharing Portal is the public information sharing portal and data repository for the drug discovery community, initiated by GHDDI. We are making our drug discovery capabilities and resources available at no cost to all researchers who are developing new treatments for COVID-19.

Many animal species present sex differences. Sex-associated genes (SAGs), which have female-biased or male-biased expression, have major influences on the remarkable sex differences in important traits such as growth, reproduction, disease resistance and behaviors. However, the SAGs resulting in the vast majority of phenotypic sex differences are still unknown. To provide a useful resource for the functional study of SAGs, we manually curated public RNA-seq datasets with paired female and male biological replicates from the same condition and systematically re-analyzed the datasets using standardized methods. We identified 27,793 female-biased SAGs and 64,043 male-biased SAGs from 2,828 samples of 21 species, including human, chimpanzee, macaque, mouse, rat, cow, horse, chicken, zebrafish, seven fly species and five worm species. All these data were cataloged into SAGD, a user-friendly database of SAGs where users can browse SAGs by gene, species, drug, and dataset. In SAGD, the expression, annotation, targeting drugs, homologs, ontology and related RNA-seq datasets of SAGs are provided to help researchers to explore their functions and potential applications in agriculture and human health.

The Mammalian Transcriptomic Database (MTD) was created to store information on mammalian transcriptomes. The MTD allows browsing of genes based on their neighboring genomic coordinates or joint KEGG pathway and provides expression information on exons, transcripts and genes via a genome browser. The MTD also allows comparative transcriptomic analyses. The data in this resource has not been updated recently, and therefore we have marked this record as Uncertain. Please get in touch if you know the current status of this resource.

SEA (Super-Enhancer Archive) is a web-based comprehensive resource focusing on the collection, storage and online analysis of super-enhancers. It focuses on integrating super-enhancers in multiple species and annotating their potential roles in the regulation of cell identity gene expression. To facilitate data extraction, SEA supports multiple search options, including species, genome location, gene name, cell type/tissue, and super-enhancer name.

This resource is developed by the Chinese government to collect and share meteorological data from domestic and global sources.