DARG: a Database of Alzheimer Related Genes in Model Organisms
Hu, Y.; Zhou, E.; Song, J. Y.
Show abstract
Alzheimer disease is affecting a significant portion of the aging population worldwide. Despite extensive research over the years, a comprehensive understanding of its underlying mechanisms and effective treatments remains elusive. Meanwhile, animal models, such as mouse, zebrafish, Drosophila, and C. elegans, have proven invaluable in studying human diseases. In response, we have developed DARG, a Database of Alzheimer disease-related genes in model organisms, designed to bridge the gap between human geneticists investigating the molecular mechanisms of the disease and the model organisms that can be used to explore the functions of disease-associated genes. DARG allows users to search and browse Alzheimer-related human genes from various resources and datasets, identify orthologs in model organisms, and access data on their gene expression and related phenotypes in Drosophila.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Module analysis using single-patient differential expression signatures improve the power of association study for Alzheimer's disease 93%
- Genetic Influence underlying Brain Connectivity Phenotype: A Study on Two Age-Specific Cohorts 90%
- Evolutionary Perspective And Expression Analysis Of Intronless Genes Highlight The Conservation On Their Regulatory Role 89%
Similar papers in this journal
- Systems analysis reveals ageing-related perturbations in retinoids and sex hormones in Alzheimer's and Parkinson's diseases 92%
- DNA damage and senescence in the aging and Alzheimer's disease cortex are not uniformly distributed 90%
- GeneCodis 4: Expanding the modular enrichment analysis to regulatory elements 90%
Similar papers in this journal
- MIAMI-AD (Methylation in Aging and Methylation in AD): an integrative knowledgebase that facilitates explorations of DNA methylation across sex, aging, and Alzheimer’s disease 92%
- SGID: a comprehensive and interactive database of the silkworm 89%
- MicroRNA childhood Cancer Catalog (M3Cs): A Resource for Translational Bioinformatics Toward Health Informatics in Pediatric Cancer. 88%
Similar papers in this journal
Similar papers in this journal
- Alzheimer’s disease risk SNPs show no strong effect on miRNA expression in human lymphoblastoid cell lines 93%
- Failure to detect synergy between variants in transferrin and hemochromatosis and Alzheimer’s disease in large cohort 91%
- An integrated genome and phenome-wide association study approach to understanding Alzheimer’s disease predisposition 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.