Lee*_*ouh 0 algorithm perl bioinformatics alignment
我找到了这个perl脚本,但我有太多的序列需要分析.我想知道是否可以对其进行优化?我在它上面推出了NYTProf,看到部分"计算匹配分数","计算差距分数"和"选择最佳分数"需要花费大量时间.我是否必须修改数据结构?谢谢您的帮助.
perl脚本的参考:
# Smith-Waterman Algorithm
# from this website http://etutorials.org/Misc/blast/Part+II+Theory/Chapter+3.+Sequence+Alignment/3.2+Local+Alignment+Smith-Waterman/
# Smith-Waterman Algorithm
# usage statement
die "usage: $0 <sequence 1> <sequence 2>\n" unless @ARGV == 2;
# get sequences from command line
my ($seq1, $seq2) = @ARGV;
# scoring scheme
my $MATCH = 1; # +1 for letters that match
my $MISMATCH = -1; # -1 for letters that mismatch
my $GAP = -1; # -1 for any gap
# initialization
my @matrix;
$matrix[0][0]{score} = 0;
$matrix[0][0]{pointer} = "none";
for(my $j = 1; $j <= length($seq1); $j++) {
$matrix[0][$j]{score} = 0;
$matrix[0][$j]{pointer} = "none";
}
for (my $i = 1; $i <= length($seq2); $i++) {
$matrix[$i][0]{score} = 0;
$matrix[$i][0]{pointer} = "none";
}
# fill
my $max_i = 0;
my $max_j = 0;
my $max_score = 0;
for(my $i = 1; $i <= length($seq2); $i++) {
for(my $j = 1; $j <= length($seq1); $j++) {
my ($diagonal_score, $left_score, $up_score);
# calculate match score
my $letter1 = substr($seq1, $j-1, 1);
my $letter2 = substr($seq2, $i-1, 1);
if ($letter1 eq $letter2) {
$diagonal_score = $matrix[$i-1][$j-1]{score} + $MATCH;
}
else {
$diagonal_score = $matrix[$i-1][$j-1]{score} + $MISMATCH;
}
# calculate gap scores
$up_score = $matrix[$i-1][$j]{score} + $GAP;
$left_score = $matrix[$i][$j-1]{score} + $GAP;
if ($diagonal_score <= 0 and $up_score <= 0 and $left_score <= 0) {
$matrix[$i][$j]{score} = 0;
$matrix[$i][$j]{pointer} = "none";
next; # terminate this iteration of the loop
}
# choose best score
if ($diagonal_score >= $up_score) {
if ($diagonal_score >= $left_score) {
$matrix[$i][$j]{score} = $diagonal_score;
$matrix[$i][$j]{pointer} = "diagonal";
}
else {
$matrix[$i][$j]{score} = $left_score;
$matrix[$i][$j]{pointer} = "left";
}
} else {
if ($up_score >= $left_score) {
$matrix[$i][$j]{score} = $up_score;
$matrix[$i][$j]{pointer} = "up";
}
else {
$matrix[$i][$j]{score} = $left_score;
$matrix[$i][$j]{pointer} = "left";
}
}
# set maximum score
if ($matrix[$i][$j]{score} > $max_score) {
$max_i = $i;
$max_j = $j;
$max_score = $matrix[$i][$j]{score};
}
}
}
# trace-back
my $align1 = "";
my $align2 = "";
my $j = $max_j;
my $i = $max_i;
while (1) {
last if $matrix[$i][$j]{pointer} eq "none";
if ($matrix[$i][$j]{pointer} eq "diagonal") {
$align1 .= substr($seq1, $j-1, 1);
$align2 .= substr($seq2, $i-1, 1);
$i--; $j--;
}
elsif ($matrix[$i][$j]{pointer} eq "left") {
$align1 .= substr($seq1, $j-1, 1);
$align2 .= "-";
$j--;
}
elsif ($matrix[$i][$j]{pointer} eq "up") {
$align1 .= "-";
$align2 .= substr($seq2, $i-1, 1);
$i--;
}
}
$align1 = reverse $align1;
$align2 = reverse $align2;
print "$align1\n";
print "$align2\n";
Run Code Online (Sandbox Code Playgroud)
你可以试着避免一遍又一遍地做同样的事情.
您可以尝试在循环之前将字符中的序列拆分一次,而不是通过索引使用最可能更快的访问,而不是从序列中删除单个字符.
例:
my $string = "Hello, how are you?";
my @chars = split //, $string; # Or: unpack 'a*', $string
print "Eighth char: $chars[7]\n";
Run Code Online (Sandbox Code Playgroud)my $letter2 = substr($seq2, $i-1, 1);可以转到外部循环,因为j内循环永远不会改变.
for(my $i = 1; $i <= length($seq2); $i++) {
my $letter2 = substr($seq2, $i-1, 1);
for(my $j = 1; $j <= length($seq1); $j++) {
Run Code Online (Sandbox Code Playgroud)避免使用速度较慢且复杂的C风格循环.
for my $i (1..length($seq2)) {
my $letter2 = substr($seq2, $i-1, 1);
for my $j (1..length($seq1)) {
Run Code Online (Sandbox Code Playgroud)而不是字符串,使用整数的值pointer.您可以使用常量来保持其可读性.
use constant {
POINTER_NONE => 0,
POINTER_LEFT => 1,
...
};
Run Code Online (Sandbox Code Playgroud)预先计算$j-1也$i-1可能带来一个小优势.
请注意,您应该在每次更改之前和之后分析代码,以查看速度是否会增加.
所有这些都是微小的改进.真正的问题是你有一个二次算法.