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Compute Relative Abundances Specifications

Process Details

  • Name: compute_relative_abundances
  • Process UUID: f931i9vxxuaq93c29ed2br4ne3h5t3
  • Process Group: Annotation

Overview

This process calculates the relative abundance of each identified Open Reading Frame (ORF) across all samples in a dataset. The analysis provides quantitative measures of ORF representation, enabling comparative studies of gene expression or functional annotation abundance patterns across multiple biological samples.

This process is implemented in Bash, which invokes a Python script for relative abundance calculations using Pandas.

Key Functionality

  • Relative Abundance Calculation: Computes the proportional representation of each ORF across all input samples
  • Multi-sample Processing: Handles multiple TSV input files simultaneously for comparative analysis
  • Standardized Output: Generates normalized abundance metrics suitable for downstream comparative analyses

Input/Output Specification

Inputs

Required Inputs

  • Input TSV Files
    • Description: Tab-separated value files containing ORF annotation and count data from multiple samples
    • Format: TSV

Outputs

  • Relative Abundance TSV
    • Description: Tab-separated file containing calculated relative abundances for each ORF across all input samples
    • Format: TSV

References & Resources

  • Tool Documentation: Contact the team for details on compute_relative_abundances.py