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a pipeline that downloads & organizes amplicon-NGS data (.fastq) of genome-editing experiments from Illumina using basemount, and analyzes it using CRISPResso
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chasty2/BaCR
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## Installation Notes (python 2.7) - when using conda to install crispresso2, trimmomatic is looking for a python version >= 2.7.* while crispresso2 is looking for a version >= 2.7. This will cause the installation of the most recent version to hang at installation (previous versions will not work). ## Sample Naming The BaCR pipeline relies on the naming of samples for the correct sorting and analysis of each sample. The scripts look for two substrings within the name of each sample: A project ID and a guide ID. The project ID denotes a project, each sample in a given project. The guide ID denotes the guide RNA used. There should be one guide ID per expected mutation outcome. ## Analysis Organization BaCR will generate one folder per project, and a subfolder for each mutation outcome within that project ## Template Parameters You only need one entry per expected mutation outcome Projects: Project ID. There can be duplicates to allow multiple guide IDs. One per project GuideNames: Guide ID. There should be one per mutation outcome. This entry can be left blank if there is only one guide used in a project R1/R2/PE: denotes forward, reverse strand, and/or paired-end analysis. There can be multiple specifications separated by a comma, a folder will be created for each analysis (example: R1,PE) Amplicon: The amplicon used in a given sample. Note that for R1 and R2 analyses, the first/last 150bp of this entry will be used GuideSeq: The guide RNA(s) used for a given sample. Note that multiple guides can be specified, separated by a comma HDR: The expected HDR sequence, if any CR2_Params: Any additional parameters to append to the call to CRISPResso2 from command line for each sample
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a pipeline that downloads & organizes amplicon-NGS data (.fastq) of genome-editing experiments from Illumina using basemount, and analyzes it using CRISPResso
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