I put a gist on github.
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##### use bioconductor annotation packages ####### | |
source("http://Bioconductor.org/biocLite.R") | |
biocLite("org.Hs.eg.db") | |
biocLite(c("GenomicFeatures", "AnnotationDbi")) | |
library("org.Hs.eg.db") | |
library("AnnotationDbi") | |
library("GenomicFeatures") | |
# all the possible mappings | |
ls("package:org.Hs.eg.db") | |
# convert Entrez_ids to gene_symbols | |
myEntrez_ids <- c("1","10","100","1000","37690") | |
mySymbols<- mget(myEntrez_ids, org.Hs.egSYMBOL, ifnotfound=NA) | |
mySymbols | |
unlist(mySymbols) | |
# convert gene_symbols to Entrez_ids | |
mySymbols_2 <- c("VEGFA","CTCF", "SNAI1","KDM1A") | |
myEntrez_ids_2<- mget(mySymbols_2, org.Hs.egSYMBOL2EG, ifnotfound=NA) | |
unlist(myEntrez_ids_2) | |
?AnnotationDbi::mget # get help | |
# or use the select function | |
?AnnotationDbi::select | |
head(keys(org.Hs.eg.db)) | |
keytypes(org.Hs.eg.db) | |
select(org.Hs.eg.db, keys = mySymbols_2, columns=c("SYMBOL","REFSEQ","GENENAME","ENTREZID"),keytype="SYMBOL") | |
select(org.Hs.eg.db, keys = myEntrez_ids, columns=c("SYMBOL","REFSEQ","GENENAME","ENTREZID"),keytype="ENTREZID") | |
# How many gene symbols | |
symbol <- keys(org.Hs.eg.db, "SYMBOL") | |
length(symbol) | |
############### use biomart ################### | |
library(biomaRt) | |
mart<- useMart(biomart = 'ensembl', dataset = 'hsapiens_gene_ensembl') | |
# get sequences | |
seq <- getSequence(id = 'BRCA1', type='hgnc_symbol',seqType="3utr", mart = mart) # pretty slow... | |
show(seq) | |
seq2 <-getSequence(id="ENST00000520540",type='ensembl_transcript_id',seqType='gene_flank', upstream =30, mart=mart) | |
show(seq2) | |
# convert gene ids gene symbol to refseq | |
geneList<- c("VEGFA","CTCF", "SNAI1","KDM1A") | |
results<- getBM(attributes = c("refseq_mrna","hgnc_symbol"), filters="hgnc_symbol", values=geneList, mart=mart) | |
results | |
?getBM |
http://davetang.org/muse/2013/12/16/bioconductor-annotation-packages/
http://davetang.org/muse/2013/05/23/using-the-bioconductor-annotation-packages/
http://davetang.org/muse/2013/11/25/thoughts-converting-gene-identifiers/
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