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  • Sanger + TIDE/ICE: quantifying CRISPR editing without NGS
    Published on
    May 7, 2026

    Sanger + TIDE/ICE: quantifying CRISPR editing without NGS

    crispr-seriescrisprgene-editingbeginnerhow-to
    T7E1 tells you if CRISPR worked. TIDE and ICE tell you how well. This post explains how both tools deconvolve your Sanger sequencing trace into a real editing percentage — no NGS required.
  • T7E1 and Surveyor assays: how they work, their limits, and how to interpret results
    Published on
    April 30, 2026

    T7E1 and Surveyor assays: how they work, their limits, and how to interpret results

    crispr-seriescrisprgene-editingbeginnerhow-to
    Mismatch-cleavage assays are the quickest and cheapest way to see if your CRISPR edit actually worked. This guide breaks down the mechanism of T7E1 and Surveyor nucleases, why the "denature and re-anneal" step is critical, and how to turn gel bands into an editing percentage.
  • On-target assessment methods compared: T7E1, TIDE, and amplicon NGS
    Published on
    April 23, 2026

    On-target assessment methods compared: T7E1, TIDE, and amplicon NGS

    crispr-seriescrisprgene-editingintermediate
    You’ve made your edit, but how much of it is actually there? This post compares the three most common ways to measure CRISPR on-target efficiency—from the "quick and dirty" T7E1 gel assay to the high-resolution precision of Amplicon NGS.
  • Choosing your CRISPR system and designing validated guides: an end-to-end walkthrough
    Published on
    April 16, 2026

    Choosing your CRISPR system and designing validated guides: an end-to-end walkthrough

    crispr-seriescrisprgene-editingintermediatehow-to
    You have a gene to edit. Should you use Cas9, Cas12a, or a Base Editor? This capstone post walks you through the entire workflow—from choosing the right molecular "scissors" for your target to designing and validating your final guides.
  • In silico off-target prediction: how the algorithms work and which tools to trust
    Published on
    April 9, 2026

    In silico off-target prediction: how the algorithms work and which tools to trust

    crispr-seriescrisprgene-editingintermediatetool-review
    Choosing a guide RNA that cuts your target is only half the battle. You also need one that doesn’t cut anywhere else. This post breaks down the MIT and CFD scoring systems, how off-target algorithms actually work, and which tools are best for predicting Cas9 and Cas12a off-targets.
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