getnumber

getnumber computes quantitative metrics from next-generation sequencing (NGS) data, including exon counts per transcript, mapping statistics per read, and transcripts per cluster, to support analyses of gene expression, structural variation, and transcriptome profiling.

Key Features:

• Data Analysis Capabilities: Computes distributions such as exon counts per transcript, read mapping statistics, and transcripts per cluster for RNA sequencing data.
• Integration with Galaxy Project: Integrates with the Galaxy Project framework to execute analyses within Galaxy and record computational steps for reproducibility.
• Scalability and Reproducibility: Processes large-scale NGS datasets and produces reproducible outputs by maintaining detailed records of analytical steps.

Scientific Applications:

• Gene Expression Analysis: Quantifies transcripts and exon distributions to support comparative analysis of gene expression across conditions or tissues.
• Structural Variant Detection: Analyzes read mapping patterns and transcript clustering to aid identification of structural variants.
• Transcriptome Profiling: Profiles transcriptomes to facilitate studies of alternative splicing and gene regulation.

Methodology:

Applies statistical and computational techniques to process and interpret next-generation sequencing data and integrates with the Galaxy framework to execute and document analyses.