(This article was first published on Recipes, scripts and genomics, and kindly contributed to R-bloggers)
One approach for analyzing RNASeq data from an organism with a well-annotated genome, is to align the reads to mRNA (cDNA) sequences instead of the genome. To do that you need to extract the transcript sequences from a database. This is how to extract ensembl transcript sequences from UCSC from within R:_________________________________________________
library(GenomicFeatures)
library(BSgenome.Hsapiens.UCSC.hg18)
tr <- makeTranscriptDbFromUCSC(genome="hg18", tablename="ensGene")
tr_seq <- extractTranscriptsFromGenome(Hsapiens, tr)
write.XStringSet(tr_seq, file="hg18.ensgene.transcripts.fasta", 'fasta', width=80, append=F)
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Next steps can be to build a reference index for bowtie, perform the alignment, and count the number of reads aligned in R using table(). Differential expression analysis may be performed by DESeq.
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