#!/usr/bin/perl -w

use strict;


# if the number of input arguments is lower than 2
# return a message showing the error

if (scalar(@ARGV) < 2) {
  print "dnaloglkh.pl codontable DNAsequence\n";
  exit(1);
}

# create two vars contaning the filenames

my $filecodontable = $ARGV[0];
my $filesequence = $ARGV[1];


# open the first file: table of codon usage frequencies

if (!open(PROPCODONS,"< $filecodontable")) {
  print "dnaloglkh.pl: the file $filecodontable can not be opened\n";
  exit(1);
}


# load the frequencies of codon usage into the hash table %pcodons
# this hash is indexed by a triplet of nucleotides or codon

my %pcodons;
my ($codon,$freq);
my $line;

# for each line in the file (tableofcodons) do

while ($line = <PROPCODONS>) {

	# extract the two values or columns with a regular expression
	# A group of letters and a decimal number
	
	($codon,$freq) = ($line =~ m/(\w+) (\d+\.\d+)/);
  
	# load the hash table
	$pcodons{$codon}=$freq;
}

close(PROPCODONS);

##########################################################
# open the DNA sequence (second file)

if (!open(SEQUENCE,"< $filesequence")) {
	print "dnaloglkh.pl: the file $filesequence can not be opened\n";
	exit(1);
}


# FASTA format: 
# >header containing a description of the sequence
# AGACTGACTTAC
# AGACTGACTTAC
# AGACTGAC

my $iden = <SEQUENCE>;  # reading the header of the sequence
my @seql = <SEQUENCE>;  # load the complete sequence into an array
my $seq  = "";          # use a var to save the whole sequence inside

close(SEQUENCE);

# concat every segment (line) in the array into the var $seq

my $i=0;

while ($i < scalar(@seql)) {
	chomp($seql[$i]);
	$seq = $seq . $seql[$i];
	$i = $i + 1;
}

$seq = "\U$seq";

# we are going to use the array @codons to store all of the codons in
# the input DNA sequence. To split the sequence in segments of length
# three, a regular expression will be used searching for all of the
# possible groups of three symbols (option g)

my @codons = ($seq =~ m/.../g);

# the likelihood ratio is for a current triplet, the ratio between 
# the probability computed from the table of codon frequencies divided
# by the random probability (uniform), that is, 1/64. After this,
# the log must be applied to obtain the log-likelihood ratio.
# It is recommended the use of logs to manage calculations involving
# small numbers between 0 and 1. Log of the product is equal to the
# the sum of logs and the log of the division is the substraction of logs

my $r = 0.0;

$i=0;
while ($i < scalar(@codons)) {
  $r = $r + log($pcodons{$codons[$i]}) - log(1/64);
  $i = $i + 1;
}

printf "%.2f\n",$r;