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Replace link to CRISPResso schematic with raw URL in README (#329)
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* Replace link to CRISPResso schematic with raw URL

* Add new lines to the beginning of unordered lists
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Colelyman authored Sep 1, 2023
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CRISPResso2 is a software pipeline designed to enable rapid and intuitive interpretation of genome editing experiments. A limited web implementation is available at: https://crispresso2.pinellolab.org/.

Briefly, CRISPResso2:

- aligns sequencing reads to a reference sequence
- quantifies insertions, mutations and deletions to determine whether a read is modified or unmodified by genome editing
- summarizes editing results in intuitive plots and datasets

## What can I do with CRISPResso2?
CRISPResso2 can be used to analyze genome editing outcomes using cleaving nucleases (e.g. Cas9 or Cpf1) or noncleaving nucleases (e.g. base editors). The following operations can be automatically performed:

- filtering of low-quality reads
- adapter trimming
- alignment of reads to one or multiple reference sequences (in the case of multiple alleles)
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- visualization of alleles and their frequencies

In addition, CRISPResso can be run as part of a larger tool suite:

- [CRISPRessoBatch](#crispressobatch) - for analyzing and comparing multiple experimental conditions at the same site
- [CRISPRessoPooled](#crispressopooled) - for analyzing multiple amplicons from a pooled amplicon sequencing experiment
- [CRISPRessoWGS](#crispressowgs) - for analyzing specific sites in whole-genome sequencing samples
- [CRISPRessoCompare](#crispressocompare) - for comparing editing between two samples (e.g., treated vs control)
- [CRISPRessoAggregate](#crispressoaggregate) - for aggregating results from previously-run CRISPResso analyses

## CRISPResso2 processing
![CRISPResso2 Schematic](https://github.com/pinellolab/CRISPResso2/blob/master/crispresso_schematic.png "CRISPResso2 Schematic")
![CRISPResso2 Schematic](https://raw.githubusercontent.com/pinellolab/CRISPResso2/master/crispresso_schematic.png "CRISPResso2 Schematic")

#### Quality filtering
Input reads are first filtered based on the quality score (phred33) in order to remove potentially false positive indels. The filtering based on the phred33 quality score can be modulated by adjusting the optimal parameters (see additional notes below).
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any region of the genome to quantify targeted editing or potentially
off-target effects. The intended use case for CRISPRessoWGS is the analysis
of targeted regions, and WGS reads from those regions will be realigned using
CRISPResso's alignment aligorithm for more accurate genome editing
quantification. To scan the entire genome for mutations
[VarScan](http://dkoboldt.github.io/varscan/) or [MuTect](https://github.com/broadinstitute/mutect)
CRISPResso's alignment aligorithm for more accurate genome editing
quantification. To scan the entire genome for mutations
[VarScan](http://dkoboldt.github.io/varscan/) or [MuTect](https://github.com/broadinstitute/mutect)
are more suitable, and identified regions can be analyzed and visualized using
CRISPRessoWGS.

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