MeiosisOnline

MeiosisOnline provides a curated database of genes associated with meiosis to support research into gametogenesis and meiotic mechanisms.

Key Features:

• Extensive Gene Repository: Houses 2,052 manually curated meiotic genes compiled from the literature.
• Manual Curation: Gene entries were collected and validated through manual literature curation.
• Systematic Classification: Genes are classified into categories to organize meiotic gene types and functions.
• Detailed Annotations: Each gene record includes basic information, functional descriptions, protein-protein interaction (PPI) data, and expression profiles.
• Predicted Candidate Genes: Applies the "Greed AUC Stepwise" algorithm to predict candidate meiotic genes, identifying 165 mouse candidates.

Scientific Applications:

• Gene Function Analysis: Supports analysis of gene roles in meiosis, gametogenesis, and contributions to genetic diversity.
• Candidate Gene Identification: Enables exploration of predicted candidate genes for discovery of novel meiotic regulators.
• Protein Interaction Studies: Provides PPI data to investigate interaction networks and regulatory mechanisms during meiosis.

Methodology:

Gene records were compiled by manual literature curation and the "Greed AUC Stepwise" algorithm was applied to predict 165 mouse candidate meiotic genes.