View source: R/fetchSequence.R
fetchSequence | R Documentation |
dagPeptides-class
object.This function fetches protein/peptide sequences from a Biomart database or
from a Proteome-class
object based on protein/peptide IDs and create
a dagPeptides-class
object following restriction as specified by
parameters: anchorAA or anchorPos, upstreamOffset and downstreamOffset.
fetchSequence(
IDs,
type = "entrezgene",
anchorAA = NULL,
anchorPos,
mart,
proteome,
upstreamOffset,
downstreamOffset
)
IDs |
A character vector containing protein/peptide IDs used to fetch
sequences from a Biomart database or a |
type |
A character vector of length 1. The available options are
"entrezgene" and "uniprotswissprot" if parameter |
anchorAA |
A character vector of length 1 or the same length as that of anchorPos, each element of which is a single letter symbol of amino acids, for example, "K" for lysine. |
anchorPos |
A character or numeric vector. Each element of which is (1) a single-letter symbol of amino acid followed by the position of the anchoring amino acid in the target peptide/protein sequence, for example, "K123" for lysine at position 123 or the position of the anchoring amino acid in the target peptide/protein sequence, for example, "123" for an amino acid at position 123; or (2) a vector of subsequences containing the anchoring AAs. |
mart |
A Biomart database name you want to connect to. Either of parameters
|
proteome |
An object of |
upstreamOffset |
An integer, the upstream offset relative to the anchoring position. |
downstreamOffset |
An integer, the downstream offset relative to the anchoring position. |
An object of class dagPeptides-class
## Case 1: You have both positions of the anchoring AAs and the identifiers
## of their enclosing peptide/protein sequences for fetching sequences using
## the fetchSequence function via the Biomart.
if (interactive())
{
try({
mart <- useMart("ensembl")
fly_mart <-
useDataset(mart = mart, dataset = "dmelanogaster_gene_ensembl")
dat <- read.csv(system.file("extdata", "dagLogoTestData.csv",
package = "dagLogo"))
seq <- fetchSequence(
IDs = as.character(dat$entrez_geneid),
anchorPos = as.character(dat$NCBI_site),
mart = fly_mart,
upstreamOffset = 7,
downstreamOffset = 7)
head(seq@peptides)
})
}
## Case 2: You don't have the exactly postion information, but You have the
## interesting peptide subsequences and the identifiers of their enclosing
## peptide/protein sequences for fetching sequences using the fetchSequence
## function via the Biomart. In the following examples, the anchoring AAs
## are marked by asterisks.
if (interactive())
{
try({
mart <- useMart("ensembl")
fly_mart <-
useDataset(mart = mart, dataset = "dmelanogaster_gene_ensembl")
dat <- read.csv(system.file("extdata", "dagLogoTestData.csv",
package = "dagLogo"))
seq <- fetchSequence(
IDs = as.character(dat$entrez_geneid),
anchorAA = "*",
anchorPos = as.character(dat$peptide),
mart = fly_mart,
upstreamOffset = 7,
downstreamOffset = 7
)
head(seq@peptides)
})
}
## In following example, the anchoring AAs are lower-case "s" for amino acid
## serine.
if(interactive())
{
try({
dat <- read.csv(system.file("extdata", "peptides4dagLogo.csv",
package = "dagLogo"))
mart <- useMart("ensembl")
human_mart <-
useDataset(mart = mart, dataset = "hsapiens_gene_ensembl")
seq <- fetchSequence(IDs = toupper(as.character(dat$symbol)),
type = "hgnc_symbol",
anchorAA = "s",
anchorPos = as.character(dat$peptides),
mart = human_mart,
upstreamOffset = 7,
downstreamOffset = 7)
head(seq@peptides)
})
}
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