rnaseqcomp

rnaseqcomp provides quantitative benchmarking of RNA-seq quantification pipelines by organizing two-condition quantifications for genes, transcripts, junctions, or exons into numeric matrices to enable systematic comparison.

Key Features:

• Quantitative Benchmarks: Provides detailed quantitative assessments of RNA-seq quantification pipelines to evaluate accuracy and reliability.
• Visualized Comparisons: Generates visualizations that compare performance across quantification approaches and experimental conditions.
• Meta Information Integration: Incorporates necessary meta information into evaluations to support comprehensive interpretation of results.
• Two-condition Numeric Matrices: Organizes two-condition quantifications for genes, transcripts, junctions, and exons into numeric matrices for downstream analysis.
• Expression Transformation: Uses the corrected transformation log2 (Y_{gij} + 0.5) as part of its reported calculations.
• Algorithm and Dataset Evaluation: Enables evaluation of quantifiers such as eXpress and has been applied to datasets including ENCODE GM12878 with attention to transcript FASTA selection and command/parameter settings.

Scientific Applications:

• Benchmarking RNA-seq Quantifiers: Benchmark and compare RNA-seq quantification pipelines across genes, transcripts, junctions, and exons.
• Comparative Performance Assessment: Assess accuracy and reliability of quantification methods and detect discrepancies arising from command/parameter settings or different transcript FASTA files.
• Reproducibility and Result Correction: Identify and correct typographical errors in equations and discrepancies in reported results to improve reproducibility of comparisons.

Methodology:

Requires two-condition quantifications from each pipeline, organizes those quantifications into numeric matrices for genes, transcripts, junctions, or exons, applies the log2 (Y_{gij} + 0.5) transformation, and computes quantitative assessments and visual comparisons.