SingmiR

SingmiR enables the rapid preprocessing and quantification of human miRNAs from noncoding single-cell samples, providing downstream analyses for single-cell miRNA-seq data.

Key Features:

• Read Trimming: Performs read trimming for different library preparation protocols.
• Quality Control: Generates automated quality control reports.
• Quantification: Provides feature-normalized count files.
• Dimension Reduction: Implements dimension reduction analyses.
• Clustered Feature Heatmaps: Generates clustered feature heatmaps.
• Sample Correlation Heatmaps: Generates sample correlation heatmaps.
• Differential Expression Statistics: Provides differential expression statistics.

Scientific Applications:

• Single-Cell miRNA-seq Prototyping: Speeds up the prototyping pipeline for biologists developing single-cell miRNA-seq protocols on small to medium-sized datasets.
• Post-Transcriptional Regulatory Analysis: Facilitates investigation of post-transcriptional control conferred by microRNAs at the single-cell level.

Methodology:

The sources do not provide explicit computational methodology details beyond the described analytical outputs.