Genomics & regulation

CRISPR Screens & Editing Analysis

CRISPR Screens & Editing Analysis

Identify screen-associated genes or quantify editing outcomes from sequencing data.

Illustrative schematic — not experimental data

Analyses are tailored to your experimental design, data quality and research question. The workflow and deliverables are agreed following project review.

Analysis modules

Guide count quality control and library representation.

Guide- and gene-level enrichment or depletion.

Positive/negative control and replicate concordance checks.

Condition-specific gene ranking and pathway context.

Amplicon indel and substitution outcome quantification.

Intended edit assessment and between-condition comparisons.

Data and metadata

Guide count matrices and library design for pooled screens; amplicon FASTQ, reference sequence and intended edit for editing-outcome analysis; controls and replicates.

Proposed deliverables

Screen hit tables with statistics; guide-level diagnostics; or editing outcome tables and allele summaries, depending on the project.

Interpretation and feasibility

Pooled screens and editing-outcome analysis are separate workflows. Amplicon analysis does not establish genome-wide off-target safety.

Methods and references

Methods, reference resources and software are selected for each project after protocol, feasibility and licence review. Applicable versions, references and interpretation limits are documented in the agreed workflow.