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Iso-Seq Analysis - Usage Guide

Overview

Process PacBio Iso-Seq data for full-length transcript discovery and isoform characterization.

Prerequisites

conda install -c bioconda pbccs lima isoseq3 sqanti3 minimap2

Quick Start

  • "Process my Iso-Seq data"
  • "Discover novel isoforms from PacBio"
  • "QC my transcript assembly with SQANTI"

Example Prompts

Processing

"Run the Iso-Seq3 pipeline on my subreads"

"Cluster my refined Iso-Seq reads"

Quality Control

"Classify isoforms with SQANTI3"

"How many novel isoforms did I find?"

Quantification

"Quantify isoform expression from Iso-Seq"

"Compare isoform usage between samples"

What the Agent Will Do

  1. Generate CCS reads from subreads
  2. Remove primers and polyA tails
  3. Cluster into high-quality isoforms
  4. Classify against reference annotation
  5. Report novel and known isoforms

Tips

  • CCS quality - min-rq 0.9 is standard for Iso-Seq
  • Primers - Must match your library prep kit
  • SQANTI categories - FSM=known, NIC/NNC=novel
  • Collapse - Removes redundancy before quantification
  • HQ vs LQ - Use high-quality (HQ) transcripts for analysis