BioTech Bench
HomeLearning PathsCategoriesResourcesShopAbout

Crispr

Browse by topic
  • bioinformatics (33)
  • how-to (27)
  • r (20)
  • crispr (19)
  • r-series (18)
  • gene-editing (16)
  • beginner (15)
  • crispr-series (14)
  • tool-review (12)
  • intermediate (10)
  • rna-seq (10)
  • molecular-biology (7)
  • ai (4)
  • explainer (4)
  • free-tools (4)
  • learning (4)
  • sequencing (3)
  • protein-design (2)
  • trends (2)
  • ngs (2)
  • open-source (2)
  • python (2)
  • statistics (2)
  • pcr (2)
  • esm3 (1)
  • alphafold3 (1)
  • protein-structure (1)
  • bash (1)
  • command-line (1)
  • lab-software (1)
  • scientific-illustration (1)
  • conda (1)
  • synthetic-biology (1)
  • bioelectronics (1)
  • nanotechnology (1)
  • off-target (1)
  • reviewing (1)
  • bench-biologist (1)
  • nanopore (1)
  • pacbio (1)
  • cloning (1)
  • drug-discovery (1)
  • career (1)
  • biology (1)
All Posts
  • bioinformatics (33)
  • how-to (27)
  • r (20)
  • crispr (19)
  • r-series (18)
  • gene-editing (16)
  • beginner (15)
  • crispr-series (14)
  • tool-review (12)
  • intermediate (10)
  • rna-seq (10)
  • molecular-biology (7)
  • ai (4)
  • explainer (4)
  • free-tools (4)
  • learning (4)
  • sequencing (3)
  • protein-design (2)
  • trends (2)
  • ngs (2)
  • open-source (2)
  • python (2)
  • statistics (2)
  • pcr (2)
  • esm3 (1)
  • alphafold3 (1)
  • protein-structure (1)
  • bash (1)
  • command-line (1)
  • lab-software (1)
  • scientific-illustration (1)
  • conda (1)
  • synthetic-biology (1)
  • bioelectronics (1)
  • nanotechnology (1)
  • off-target (1)
  • reviewing (1)
  • bench-biologist (1)
  • nanopore (1)
  • pacbio (1)
  • cloning (1)
  • drug-discovery (1)
  • career (1)
  • biology (1)
  • CRISPResso2: the standard tool for CRISPR NGS analysis (full tutorial)
    Published on
    November 10, 2026

    CRISPResso2: the standard tool for CRISPR NGS analysis (full tutorial)

    crispr-seriescrisprgene-editingbioinformaticshow-to
    Your amplicon FASTQ files are back from the sequencer, and the default CRISPResso2 numbers are already lying to you about your HDR and base editing rates. Here is how to run CRISPResso2 properly from raw paired-end reads to publication-ready allele tables.
  • AI Is Now Designing CRISPR Enzymes That Nature Never Made
    Published on
    September 29, 2026

    AI Is Now Designing CRISPR Enzymes That Nature Never Made

    crisprAIgene-editingprotein-designtrendsexplainer
    For thirteen years, every CRISPR tool in your freezer was mined from a microbe. In 2025 and 2026, two papers changed that — AI-generated editors that work in human cells and, in one case, outperform the natural enzyme. Here is what the data actually shows, and what it means for your bench.
  • Long-read sequencing for CRISPR validation: when short reads miss the big picture
    Published on
    July 1, 2026

    Long-read sequencing for CRISPR validation: when short reads miss the big picture

    crisprsequencingnanoporepacbiongsbioinformatics
    Short-read amplicon NGS is the gold standard for CRISPR indel detection — but it has a blind spot for structural variants, large deletions, and complex rearrangements. Long-read sequencing from Oxford Nanopore or PacBio fills that gap. Here is when it matters and how to actually run the analysis.
  • Detecting off-targets in the lab: GUIDE-seq, CIRCLE-seq, and Digenome-seq compared
    Published on
    May 21, 2026

    Detecting off-targets in the lab: GUIDE-seq, CIRCLE-seq, and Digenome-seq compared

    how-tocrisprbioinformaticsoff-targetsequencing
    An overview and comparison of laboratory methods for finding CRISPR off-target editing. We compare GUIDE-seq, CIRCLE-seq, Digenome-seq, and DISCOVER-seq to help you choose the right validation tool.
  • Amplicon NGS for CRISPR: how to design your sequencing strategy
    Published on
    May 14, 2026

    Amplicon NGS for CRISPR: how to design your sequencing strategy

    how-tocrisprbioinformaticsngssequencing
    A practical guide to designing a cost-effective and accurate amplicon next-generation sequencing (NGS) strategy to quantify CRISPR editing efficiency and characterises indels.
1 of 4Next
mailMail
Support us on Ko-fi
BioTech Bench
•
© 2026
About & Editorial Standards·Resources·Sponsor·Privacy Policy
Made with ❤️love and ☕