QuickIsoSeq for Isoform Quantification in Large-Scale RNA Sequencing.

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• RNA-sequencing (RNA-seq) is vital for transcriptome profiling, but gene-level analysis often overlooks alternative splicing.
• Alternative splicing generates diverse protein isoforms with varied biological functions, impacting health and disease.
• Accurate isoform quantification is essential for comprehensive gene function and disease progression studies.

Purpose of the Study:

• To introduce QuickIsoSeq, a novel pipeline for efficient and accurate RNA-sequencing (RNA-seq) isoform quantification.
• To address practical quality control (QC) challenges in large-scale RNA-seq data analysis.
• To provide a deployable solution for analyzing RNA-seq datasets at the isoform level.

Main Methods:

• Evaluation of existing open-source tools (Salmon, Kallisto, RSEM) for isoform quantification.
• Development of the QuickIsoSeq pipeline to handle common RNA-seq QC issues.
• Description of pipeline deployment and usage for practical RNA-seq data analysis.

Main Results:

• QuickIsoSeq is designed for large-scale RNA-seq isoform quantification.
• The pipeline integrates quality control measures to address common data challenges.
• Detailed instructions are provided for practical implementation and analysis.

Conclusions:

• QuickIsoSeq offers a robust solution for isoform-level analysis of RNA-seq data.
• The pipeline facilitates a deeper understanding of gene function through isoform quantification.
• It is a valuable tool for researchers studying complex biological processes and diseases.