effectR (version 1.0.2)

hmm.search: Searching for motifs using HMM searches

Description

This function uses MAFFT and HMMER to search for sequences with RxLR or CRN motifs using hidden markov models.

Usage

hmm.search(original.seq, regex.seq, alignment.file = NULL,
  save.alignment = FALSE, mafft.path = NULL, num.threads = 2,
  hmm.path = NULL, seed = 12345)

Arguments

original.seq

The absolute path for the original six-frame translation FASTA file

regex.seq

A list of SeqFastadna objects resulting from regex.search. The HMM profile will be constructed using these sequences

alignment.file

(Optional) The absolute path for an alignment file of the sequences to build the hmmer profile from. It's recommended that the alignment file cointains the same sequences than the `regex.seq` files. If the user provides the absolute path, *effectR* won't use MAFFT to align the sequences and will use the alignment for the HMMER searches. If no alignment file is provided, *effectR* will use MAFFT to align the sequences from `regex.seq` and run HMMER.

save.alignment

(Optional) Save the alignment in the returning object. The MAFFT alignment will be saved as the first element of the returned object.

mafft.path

(Optional) Local path of folder containing the MAFFT binary executable file or the executable file itself. If not specified, then MAFFT must be in the program search path.

num.threads

(Optional) Number of threads to be used by MAFFT

hmm.path

(Optional) Local path of folder containing the HMMER binaries. If not specified, then HMMER executables must be in the program search path.

seed

(Optional) The seed to used with HMMER commands. Set this to get the same output each time

Value

A list of three elements: REGEX candidate effectors, HMM candidate effectors, and HMM results table.

Details

hmm.search uses the results from regex.search to search for motifs of interest using Hidden Markov Models after aligning the sequences with MAFFT. After the multiple sequence alignment is complete, the function constructs a HMM profile using the alignment data. The HMM profile is in the original list of SeqFastadna objects to obtain the best HMM results with sequences with RxLR or CRN motifs.

Examples

# NOT RUN {
# }
# NOT RUN {
fasta.file <- system.file("extdata", "test_infestans.fasta", package = "effectR")
ORF <- seqinr::read.fasta(fasta.file)
REGEX <- regex.search(ORF, motif="RxLR")
candidate.rxlr <- hmm.search(original.seq = fasta.file, regex.seq = REGEX,
 alignment.file=NULL, save.alignment=T)

# To save the alignment:
library(seqinr)
write.fasta(sequences = getSequence(candidate.rxlr$Alignment),
 names = getName(candidate.rxlr$Alignment),
 file.out = "Alin_infestans.fasta", nbchar = 10000)

# To use an alignment file
ALIN <- system.file("extdata", "Alin_infestans.fasta", package = "effectR")
candidate.rxlr <- hmm.search(original.seq = fasta.file, regex.seq = REGEX,
 alignment.file = ALIN)
# }