seqaln {bio3d}

Sequence Alignment with MUSCLE

Description

Create multiple alignments of amino acid or nucleotide sequences according to the method of Edgar.

Usage

seqaln(aln, id=NULL, profile=NULL, exefile="muscle", outfile="aln.fa", 
       protein=TRUE, seqgroup=FALSE, refine=FALSE, extra.args="",
       verbose=FALSE, web.args = list(), ...)  

Arguments

aln

a sequence character matrix, as obtained from seqbind, or an alignment list object as obtained from read.fasta.

id

a vector of sequence names to serve as sequence identifers.

profile

a profile alignment of class ‘fasta’ (e.g. obtained from read.fasta). The alignment aln will be added to the profile.

exefile

file path to the ‘MUSCLE’ program on your system (i.e. how is ‘MUSCLE’ invoked). Alternatively, ‘CLUSTALO’ can be used. Also supported is using the ‘msa’ package from Bioconductor (need to install packages using BiocManager::install()). To do so, simply set exefile="msa".

outfile

name of ‘FASTA’ output file to which alignment should be written.

protein

logical, if TRUE the input sequences are assumed to be protein not DNA or RNA.

seqgroup

logical, if TRUE similar sequences are grouped together in the output.

refine

logical, if TRUE the input sequences are assumed to already be aligned, and only tree dependent refinement is performed.

extra.args

a single character string containing extra command line arguments for the alignment program.

verbose

logical, if TRUE ‘MUSCLE’ warning and error messages are printed.

web.args

a ‘list’ object containing arguments to perform online sequence alignment using EMBL-EBI Web Services. See below for details.

...

additional arguments passed to the function msa::msaMuscle().

Details

Sequence alignment attempts to arrange the sequences of protein, DNA or RNA, to highlight regions of shared similarity that may reflect functional, structural, and/or evolutionary relationships between the sequences.

Aligned sequences are represented as rows within a matrix. Gaps (‘-’) are inserted between the aminoacids or nucleotides so that equivalent characters are positioned in the same column.

This function calls the ‘MUSCLE’ program to perform a multiple sequence alignment, which must be installed on your system and in the search path for executables. If local ‘MUSCLE’ can not be found, alignment can still be performed via online web services (see below) with limited features.

If you have a large number of input sequences (a few thousand), or they are very long, the default settings may be too slow for practical use. A good compromise between speed and accuracy is to run just the first two iterations of the ‘MUSCLE’ algorithm by setting the extra.args argument to “-maxiters 2”.

You can set ‘MUSCLE’ to improve an existing alignment by setting refine to TRUE.

To inspect the sequence clustering used by ‘MUSCLE’ to produce alignments, include “-tree2 tree.out” in the extra.args argument. You can then load the “tree.out” file with the ‘read.tree’ function from the ‘ape’ package.

‘CLUSTALO’ can be used as an alternative to ‘MUSCLE’ by specifiying exefile='clustalo'. This might be useful e.g. when adding several sequences to a profile alignment.

If local ‘MUSCLE’ or ‘CLUSTALO’ program is unavailable, the alignment can be performed via the ‘msa’ package from the Bioconductor repository. To do so, set exefile="msa". Note that both ‘msa’ and ‘Biostrings’ packages need to be installed properly using BiocManager::install().

If the access to any method metioned above fails, the function will attempt to perform alignment via the EMBL-EBI Web Services (See https://www.ebi.ac.uk/). In this case, the argument web.args cannot be empty and must contain at least user's E-Mail address. Note that as stated by EBI, a fake email address may result in your jobs being killed and your IP, organisation or entire domain being black-listed (See FAQs on https://www.ebi.ac.uk/). Possible parameters to be passed via web.args include:

email

a string containing a valid E-Mail address. Required.

title

a string for the title of the job to be submitted to the remote server. Optional.

timeout

integer specifying the number of seconds to wait for the response of the server before a time out occurs. Default: 90.

An example of usage is web.args=list(email='[e-mail]').

Value

Returns a list of class "fasta" with the following components:

ali

an alignment character matrix with a row per sequence and a column per equivalent aminoacid/nucleotide.

id

sequence names as identifers.

call

the matched call.

Note

A system call is made to the ‘MUSCLE’ program, which must be installed on your system and in the search path for executables. See http://thegrantlab.org/bio3d/articles/online/install_vignette/Bio3D_install.html for instructions of how to install this program.

Author(s)

Barry Grant

References

Grant, B.J. et al. (2006) Bioinformatics 22, 2695–2696.

‘MUSCLE’ is the work of Edgar: Edgar (2004) Nuc. Acid. Res. 32, 1792–1797.

Full details of the ‘MUSCLE’ algorithm, along with download and installation instructions can be obtained from:
http://www.drive5.com/muscle/.

See Also

read.fasta, read.fasta.pdb, get.seq, seqbind, pdbaln, plot.fasta, blast.pdb

Examples

## Not run: 
##-- Basic sequence alignemnt
seqs <- get.seq(c("4q21_A", "1ftn_A"))
aln <- seqaln(seqs)

##-- add a sequence to the (profile) alignment
seq <- get.seq("1tnd_A")
aln <- seqaln(seq, profile=aln)


##-- Read a folder/directory of PDB files
#pdb.path <- "my_dir_of_pdbs"
#files  <- list.files(path=pdb.path ,
#                     pattern=".pdb",
#                     full.names=TRUE)

##-- Use online files
files <- get.pdb(c("4q21","1ftn"), URLonly=TRUE)

##-- Extract and store sequences
raw <- NULL
for(i in 1:length(files)) {
  pdb <- read.pdb(files[i])
  raw <- seqbind(raw, pdbseq(pdb) )
}

##-- Align these sequences
aln <- seqaln(raw, id=files, outfile="seqaln.fa")

##-- Read Aligned PDBs storing coordinate data
pdbs <- read.fasta.pdb(aln) 

## Sequence identity
seqidentity(aln)

## Note that all the above can be done with the pdbaln() function:
#pdbs <- pdbaln(files)


##-- For identical sequences with masking use a custom matrix
aa <- seqbind(c("X","C","X","X","A","G","K"),
              c("C","-","A","X","G","X","X","K"))

aln <- seqaln(aln=aln, id=c("a","b"), outfile="temp.fas", protein=TRUE,
               extra.args= paste("-matrix",
                system.file("matrices/custom.mat", package="bio3d"),
                "-gapopen -3.0 ",
                "-gapextend -0.5",
                "-center 0.0") )

## End(Not run)