# install.packages("remotes")
remotes::install_github("dbrookeUAB/GeCKO")
Make sure to cite this paper. O. Shalem et al., Genome-scale CRISPR-Cas9 knockout screening in human cells. Science (80-. ). 343, 84–87 (2014)
library(GeCKO)
human <- get_library(species = "human")
# not run
# mouse <- get_library(species = "mouse")
human
#> gene_id UID seq
#> 1: A1BG HGLibA_00001 GTCGCTGAGCTCCGATTCGA
#> 2: A1BG HGLibA_00002 ACCTGTAGTTGCCGGCGTGC
#> 3: A1BG HGLibA_00003 CGTCAGCGTCACATTGGCCA
#> 4: A1BG HGLibB_00001 CAATGTGACGCTGACGTGCC
#> 5: A1BG HGLibB_00002 TGTCTCCGCAGGTGTCACCT
#> ---
#> 123407: hsa-mir-99a HGLibA_64379 ATCTACGGGTTTATGCCAAT
#> 123408: hsa-mir-99b HGLibA_64380 CACCCGTAGAACCGACCTTG
#> 123409: hsa-mir-99b HGLibA_64381 CCCGTAGAACCGACCTTGCG
#> 123410: hsa-mir-99b HGLibA_64382 CGCACACAAGCTCGTGTCTG
#> 123411: hsa-mir-99b HGLibA_64383 TCGTGTCTGTGGGTCCGTGT
library(GeCKO)
human <- get_library(species = "human")
# using data.table notation DT[i,j,by]
single_gene<- human[gene_id=="GAPDH"]
single_gene
#> gene_id UID seq
#> 1: GAPDH HGLibA_18613 TTCCTCACCTGATGATCTTG
#> 2: GAPDH HGLibA_18614 TCTGCTGTAGGCTCATTTGC
#> 3: GAPDH HGLibA_18615 TTCCACTCACTCCTGGAAGA
#> 4: GAPDH HGLibB_18588 ACTCACCCCAGCCTTCTCCA
#> 5: GAPDH HGLibB_18589 CACTGGCGTCTTCACCACCA
#> 6: GAPDH HGLibB_18590 TTCCAATATGATTCCACCCA
library(GeCKO)
human <- get_library(species = "human")
many_genes<-human[gene_id %in% c("GAPDH","TP53", "CCND1")]
man_genes
#> gene_id UID seq
#> 1: CCND1 HGLibA_08071 CGAAGGTCTGCGCGTGTTTG
#> 2: CCND1 HGLibA_08072 CTTGCACACCCACCGACGTG
#> 3: CCND1 HGLibA_08073 GATGTCCACGTCCCGCACGT
#> 4: CCND1 HGLibB_08064 GTTCGTGGCCTCTAAGATGA
#> 5: CCND1 HGLibB_08065 TGTTTGTTCTCCTCCGCCTC
#> 6: CCND1 HGLibB_08066 GAAGCGTGTGAGGCGGTAGT
#> 7: GAPDH HGLibA_18613 TTCCTCACCTGATGATCTTG
#> 8: GAPDH HGLibA_18614 TCTGCTGTAGGCTCATTTGC
#> 9: GAPDH HGLibA_18615 TTCCACTCACTCCTGGAAGA
#> 10: GAPDH HGLibB_18588 ACTCACCCCAGCCTTCTCCA
#> 11: GAPDH HGLibB_18589 CACTGGCGTCTTCACCACCA
#> 12: GAPDH HGLibB_18590 TTCCAATATGATTCCACCCA
#> 13: TP53 HGLibA_51047 CCGGTTCATGCCGCCCATGC
#> 14: TP53 HGLibA_51048 CGCTATCTGAGCAGCGCTCA
#> 15: TP53 HGLibA_51049 CCCCGGACGATATTGAACAA
#> 16: TP53 HGLibB_50984 GAGCGCTGCTCAGATAGCGA
#> 17: TP53 HGLibB_50985 CCCCTTGCCGTCCCAAGCAA
#> 18: TP53 HGLibB_50986 ACTTCCTGAAAACAACGTTC
library(GeCKO)
human <- get_library(species = "human")
single_gene<- human[gene_id=="GAPDH"]
# simple example
make_gRNAs(seqs = "TGTCAACGGGCGGCCACTGC",gene = "PAX6")
#> gene_id seq oligo-1 (5'->3')
#> 1: PAX6 TGTCAACGGGCGGCCACTGC CACCGTGTCAACGGGCGGCCACTGC
#> oligo-2 (5'->3')
#> 1: AAACGCAGTGGCCGCCCGTTGACAC
library(GeCKO)
human <- get_library(species = "human")
single_gene<- human[gene_id=="GAPDH"]
# using data.tables directly for a single gene
make_gRNAs(single_gene[,seq], gene = single_gene[,gene_id])
#> gene_id seq oligo-1 (5'->3')
#> 1: GAPDH TTCCTCACCTGATGATCTTG CACCGTTCCTCACCTGATGATCTTG
#> 2: GAPDH TCTGCTGTAGGCTCATTTGC CACCGTCTGCTGTAGGCTCATTTGC
#> 3: GAPDH TTCCACTCACTCCTGGAAGA CACCGTTCCACTCACTCCTGGAAGA
#> 4: GAPDH ACTCACCCCAGCCTTCTCCA CACCGACTCACCCCAGCCTTCTCCA
#> 5: GAPDH CACTGGCGTCTTCACCACCA CACCGCACTGGCGTCTTCACCACCA
#> 6: GAPDH TTCCAATATGATTCCACCCA CACCGTTCCAATATGATTCCACCCA
#> oligo-2 (5'->3')
#> 1: AAACCAAGATCATCAGGTGAGGAAC
#> 2: AAACGCAAATGAGCCTACAGCAGAC
#> 3: AAACTCTTCCAGGAGTGAGTGGAAC
#> 4: AAACTGGAGAAGGCTGGGGTGAGTC
#> 5: AAACTGGTGGTGAAGACGCCAGTGC
#> 6: AAACTGGGTGGAATCATATTGGAAC
library(GeCKO)
human <- get_library(species = "human")
many_genes<-human[gene_id %in% c("GAPDH","TP53", "CCND1")]
# using data.tables directly for a multiple genes
make_gRNAs(many_genes[,seq], gene = many_genes[,gene_id])
#> gene_id seq oligo-1 (5'->3')
#> 1: CCND1 CGAAGGTCTGCGCGTGTTTG CACCGCGAAGGTCTGCGCGTGTTTG
#> 2: CCND1 CTTGCACACCCACCGACGTG CACCGCTTGCACACCCACCGACGTG
#> 3: CCND1 GATGTCCACGTCCCGCACGT CACCGGATGTCCACGTCCCGCACGT
#> 4: CCND1 GTTCGTGGCCTCTAAGATGA CACCGGTTCGTGGCCTCTAAGATGA
#> 5: CCND1 TGTTTGTTCTCCTCCGCCTC CACCGTGTTTGTTCTCCTCCGCCTC
#> 6: CCND1 GAAGCGTGTGAGGCGGTAGT CACCGGAAGCGTGTGAGGCGGTAGT
#> 7: GAPDH TTCCTCACCTGATGATCTTG CACCGTTCCTCACCTGATGATCTTG
#> 8: GAPDH TCTGCTGTAGGCTCATTTGC CACCGTCTGCTGTAGGCTCATTTGC
#> 9: GAPDH TTCCACTCACTCCTGGAAGA CACCGTTCCACTCACTCCTGGAAGA
#> 10: GAPDH ACTCACCCCAGCCTTCTCCA CACCGACTCACCCCAGCCTTCTCCA
#> 11: GAPDH CACTGGCGTCTTCACCACCA CACCGCACTGGCGTCTTCACCACCA
#> 12: GAPDH TTCCAATATGATTCCACCCA CACCGTTCCAATATGATTCCACCCA
#> 13: TP53 CCGGTTCATGCCGCCCATGC CACCGCCGGTTCATGCCGCCCATGC
#> 14: TP53 CGCTATCTGAGCAGCGCTCA CACCGCGCTATCTGAGCAGCGCTCA
#> 15: TP53 CCCCGGACGATATTGAACAA CACCGCCCCGGACGATATTGAACAA
#> 16: TP53 GAGCGCTGCTCAGATAGCGA CACCGGAGCGCTGCTCAGATAGCGA
#> 17: TP53 CCCCTTGCCGTCCCAAGCAA CACCGCCCCTTGCCGTCCCAAGCAA
#> 18: TP53 ACTTCCTGAAAACAACGTTC CACCGACTTCCTGAAAACAACGTTC
#> oligo-2 (5'->3')
#> 1: AAACCAAACACGCGCAGACCTTCGC
#> 2: AAACCACGTCGGTGGGTGTGCAAGC
#> 3: AAACACGTGCGGGACGTGGACATCC
#> 4: AAACTCATCTTAGAGGCCACGAACC
#> 5: AAACGAGGCGGAGGAGAACAAACAC
#> 6: AAACACTACCGCCTCACACGCTTCC
#> 7: AAACCAAGATCATCAGGTGAGGAAC
#> 8: AAACGCAAATGAGCCTACAGCAGAC
#> 9: AAACTCTTCCAGGAGTGAGTGGAAC
#> 10: AAACTGGAGAAGGCTGGGGTGAGTC
#> 11: AAACTGGTGGTGAAGACGCCAGTGC
#> 12: AAACTGGGTGGAATCATATTGGAAC
#> 13: AAACGCATGGGCGGCATGAACCGGC
#> 14: AAACTGAGCGCTGCTCAGATAGCGC
#> 15: AAACTTGTTCAATATCGTCCGGGGC
#> 16: AAACTCGCTATCTGAGCAGCGCTCC
#> 17: AAACTTGCTTGGGACGGCAAGGGGC
#> 18: AAACGAACGTTGTTTTCAGGAAGTC
# add2 uses a list input
library(GeCKO)
make_gRNAs(seqs = "TGTCAACGGGCGGCCACTGC",gene = "PAX6",
add2 = list(
seq1_5p = "new",
seq1_3p = "ends",
seq2_5p = "for",
seq2_3p = "both")
)
#> gene_id seq oligo-1 (5'->3')
#> 1: PAX6 TGTCAACGGGCGGCCACTGC newTGTCAACGGGCGGCCACTGCends
#> oligo-2 (5'->3')
#> 1: forGCAGTGGCCGCCCGTTGACAboth
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