knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(DesignGroupSpecificPrimers) data(THCAS_DNA) dbconn <- RSQLite::dbConnect(RSQLite::SQLite(), ':memory:') groups <- NULL tiles <- NULL identifier <- NULL designGoupSpecificPrimers( xstringset = THCAS_DNA, groups = groups, tiles = tiles, identifier = identifier, dbConn = dbconn )
NOTE:: Simulating two oligos against the entirety of chromosome 6 would take ~2wks on my desktop...
Both thcas and cbdas are located on chromosome 9 () or I guess chromosome 6???? (
). Use the Onofri primers to perfom in-silico PCR on Ch.9 of the
of strain CBDRx.
library(Biostrings) library(DECIPHER) library(DesignGroupSpecificPrimers) # Cannabis sativa chromosome 6 (NCBI GenBank) CANSAT_CH9 <- Biostrings::readDNAStringSet( system.file( 'extdata/CANSAT_CH9.fasta', package = 'DesignGroupSpecificPrimers' ) ) # THCAS/CBDAS sequencing primers (Onofri et al., 2015) data(Onofri2015_THCAS) # Biostrings::DNAStringSet data(Onofri2015_CBDAS) # Biostrings::DNAStringSet thcas_amplicons_ch9 <- DECIPHER::AmplifyDNA( Onofri2015_THCAS, CS10_CH9, annealingTemp=55, P=4e-7, maxProductSize=5000 )
[According to who/what?] A BBE-like domain existst on Ch.6 that could yield off-target amplicons. Perform the same PCR simulation with Onofri primers on cs10 Ch.6.
# Cannabis sativa chromosome 6 (NCBI GenBank) CANSAT_CH6 <- Biostrings::readDNAStringSet( system.file( 'extdata/CS10_CH6.fasta', package = 'DesignGroupSpecificPrimers' ) ) thcas_amplicons_ch6 <- DECIPHER::AmplifyDNA( Onofri2015_THCAS, CS10_CH6, annealingTemp=55, P=4e-7, maxProductSize=5000 )
MOLECULAR DIAGNOSTIC PCR HANDBOOK ISBN-10 1-4020-3404-0(e-book) GERRIT J. VILJOEN International Atomic Energy Agency, Vienna, Austria LOUIS H. NEL University of Pretoria, Republic of South Africa and JOHN R. CROWTHER International Atomic Energy Agency, Vienna, Austria
| Agarose (%) | DNA length (bp) | |---------|--------------| | 0.3% | 1000 - 30,000 | | 0.7 | 800 – 12,000 | | 1.0 | 500 – 10,000 | | 1.2 | 400 – 7,000 | | 1.3 | 300 – 3,000 | | 1.4 | 250 – 3,000 | | 1.5 | 200 – 3,000 | | 2.0 | 50 – 2,000 |
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