Tools

  • Gene ID conversion between Kronos and CS
  • Find wheat potential homeologs
  • Extract cDNA sequences
  • Short read de novo assembly with Velevet
  • CRISPR editing check with BWA and SAMTOOLS v2
  • CRISPR NGS editing check with HISAT2
  • Make bam files with strobeAlign
  • Shade sequence alignments with nimBoxshade
  • Shade sequence alignments with Boxshade
  • Design KASP primers with Primer3 v2.5.0
  • Convert a vcf file to SNP table
  • Call variants with exactSNP
  • Index bams with SAMTOOLS
  • Format FASTA to fixed length
  • Make bams and indel calls with Subread
  • Filter fastq files with FASTP
  • Filter multiple fastq files with FASTP
  • Make bam files with BWA and SAMTOOLS
  • CRISPR Editing Analysis v2
  • Demultiplex a Fastq File
  • CRISPR Editing Analysis
  • Call SNPs from multiple sequence alignment
  • Reverse complement of DNA sequences

    • CRISPR Editing Analysis v2

    See Help below on your first use











    Help

    This program summarize CRISPR editing results based on the idea of CRIS.py. You can read the paper here. The basic idea is summarized in its Fig. 1. CRISjs dialog

    All three sequences (the left and right flanking sequences and the gRNA sequences) should be on the same strand as the template. If you are working on polyploid species, your left or right flanking sequences should be unique to your template (subgenome) if the fastq files include homolog/homeologs.

    GitHub page: https://github.com/pinbo/CRISjs

    Differences with version 1

    Version 1 can be found here. 1. Version 2 now get the template from a fasta file containing all sequences. 2. All 3 sequences needed now are in one input form, so it is easy to copy and paste.

    Steps

    1. Input all the required sequences. Make sure both the left and the right flanking sequences are in the same read or merged read in the fastq file.
    2. Select fastq or fastq.gz files by clicking “Choose files”.
    3. Start analyzing by clicking the “Start Analyze” button.
    4. Download the summary file by clicking the “Download output csv file” button.

    You can click the “Example input” button to get the example inputs (then select the example fastq.gz files https://github.com/pinbo/CRISjs/tree/main/example-input).

    If you have a lot of fastq files, you may use the standalone command line program CRISgo.

    Output

    The program will output a csv files reporting the percentage of intact gRNAs (no editing) and percentage of indels. It also gives the sequences and locations of the top 2 mutations and their percentages.

    The first line is “Intact reference”: the unedited sequences from the left flanking to the right flanking sequences. The 3rd line is the header of the output table. Explanations here:

    fastq_file: the fastq file name
    number_of_matched_reads: number of reads that have both flanking sequences
    number_of_reads_with_intact_gRNA: matched reads with intact gRNA sequence
    %intact_gRNA: % of reads with intact gRNA sequence
    total_indel: number of reads with an indel
    %indel: %number of reads with an indel
    number_of_reads_with_leftSeq: number of reads with the left flanking sequence
    number_of_reads_with_rightSeq: number of reads with the right flanking sequence
    nleftSeq/nrightSeq: number_of_reads_with_leftSeq / number_of_reads_with_rightSeq
    wtSeq_count: wild type sequence (unedited) between the two flanking sequences
    wtSeq_%: wtSeq_count / number_of_matched_reads * 100
    #1_mutation: the most frequenct mutations (SNP or indel)
    #1_count: number of reads with #1_mutation
    #1_%: #1_count / number_of_matched_reads * 100
    #1_seq: the #1 mutation sequence from the left flanking to the right flanking
    #1_ref: the reference allele
    #1_alt: the mutation allele
    #1_bp_left_of_PAM: distance from the PAM sequence
    #2_mutation: the 2nd most frequenct mutations (SNP or indel)