MirZ

MirZ integrates the smiRNAdb miRNA expression atlas with the E1MMo miRNA target prediction algorithm to analyze sequencing-based miRNA expression profiles and predict mRNA targets for investigating miRNA regulatory roles.

Key Features:

• Integration of smiRNAdb and E1MMo: Combines the smiRNAdb miRNA expression atlas with the E1MMo miRNA target prediction algorithm for joint expression and target analyses.
• smiRNAdb expression atlas: Contains sequencing-based miRNA expression profiles across multiple species.
• E1MMo target prediction: Predicts miRNA target sites and candidate mRNA targets using the E1MMo algorithm.
• Statistical analysis and data mining: Provides statistical analysis and data mining tools that operate on up-to-date sequencing-based miRNA expression databases.
• Differential expression detection: Identifies miRNAs whose expression varies between different cell types or between normal and pathological conditions.
• Cross-species support: Supports analyses across species from Caenorhabditis elegans to Homo sapiens.

Scientific Applications:

• miRNA expression profiling: Explore and compare sequencing-based miRNA expression patterns across samples and species.
• mRNA target prediction: Predict potential mRNA targets and miRNA target sites to link miRNAs to downstream genes.
• Differential expression analysis: Identify miRNAs with altered expression between cell types or normal versus pathological conditions.
• Functional characterization: Use predicted mRNA targets to infer potential functional roles of individual miRNAs.
• Regulatory network investigation: Investigate miRNA-mediated regulatory networks across species using combined expression and target predictions.

Methodology:

Integration of the smiRNAdb miRNA expression atlas with the E1MMo miRNA target prediction algorithm, statistical analysis and data mining on sequencing-based miRNA expression profiles, and prediction of miRNA target sites by E1MMo.