calcTwoProtSeqSim: Protein Sequence Alignment for Two Protein Sequences

In wind22zhu/BioMedR: Generating Various Molecular Representations for Chemicals, Proteins, DNAs, RNAs and Their Interactions

Description

Protein Sequence Alignment for Two Protein Sequences

Usage

calcTwoProtSeqSim(seq1, seq2, type = "local", submat = "BLOSUM62")

Arguments

seq1	A character string, containing one protein sequence.
seq2	A character string, containing another protein sequence.
type	Type of alignment, default is 'local', could be 'global' or 'local', where 'global' represents Needleman-Wunsch global alignment; 'local' represents Smith-Waterman local alignment.
submat	Substitution matrix, default is 'BLOSUM62', could be one of 'BLOSUM45', 'BLOSUM50', 'BLOSUM62', 'BLOSUM80', 'BLOSUM100', 'PAM30', 'PAM40', 'PAM70', 'PAM120', 'PAM250'.

Details

This function implements the sequence alignment between two protein sequences.

Value

An Biostrings object containing the scores and other alignment information.

Author(s)

Min-feng Zhu <[e-mail]>, Nan Xiao <http://r2s.name>

See Also

See calcParProtSeqSim for paralleled pairwise protein similarity calculation based on sequence alignment. See calcTwoProtGOSim for calculating the GO semantic similarity between two groups of GO terms or two Entrez gene IDs.

Examples

s1 = readFASTA(system.file('protseq/P00750.fasta', package = 'BioMedR'))[[1]]
s2 = readFASTA(system.file('protseq/P10323.fasta', package = 'BioMedR'))[[1]]
seqalign = calcTwoProtSeqSim(s1, s2)
summary(seqalign)

wind22zhu/BioMedR documentation built on Oct. 21, 2019, 12:51 p.m.