#!/opt/conda/conda-bld/meme_1681795040798/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehol/bin/perl -w
#
# $Id $
# $Log $
#
# FILE: tamo2meme
# AUTHOR: Timothy L. Bailey
# CREATE DATE: 18/04/08
# DESCRIPTION: Convert a file containing list of TFBS motif matrices from TAMO
# to MEME output format.

use warnings;
use strict;

use lib qw(/opt/conda/conda-bld/meme_1681795040798/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehol/lib/meme-5.5.2/perl);

use Alphabet qw(dna);
use MotifUtils qw(intern_to_meme read_background_file);

use Fcntl qw(O_RDONLY);
use Getopt::Long;
use Pod::Usage;
use Scalar::Util qw(looks_like_number);

=head1 SYNOPSIS

tamo2meme [options] <tamo file>

 Options:
  -skip <TAMO ID>               skip this ID (may be repeated)
  -numbers                      use numbers instead of strings as motif names
  -bg <background file>         file with background frequencies of letters;
                                default: uniform background
  -pseudo <total pseudocounts>  add <total pseudocounts> times letter
                                background to each frequency; default: 0
  -logodds                      print log-odds matrix, too;
                                default: print frequency matrix only
  -url <website>                website for the motif; The tamo ID is
                                substituted for MOTIF_NAME; default: no url

=cut

# Set parameter defaults
my %skips = ();
my $use_numbers = 0;
my $bg_file;
my $pseudo_total = 0;
my $print_logodds = 0;
my $url_pattern = "";
my $tamo_file;

GetOptions("skip=s" => sub {$skips{$_[1]} = 1}, "numbers" => \$use_numbers,
  "bg=s" => \$bg_file, "pseudo=f" => \$pseudo_total, "logodds" => \$print_logodds,
  "url=s" => \$url_pattern) or pod2usage(2);
#check tamo file
pod2usage("A tamo file must be specified for the conversion.") unless @ARGV;
$tamo_file = shift(@ARGV);
pod2usage("Only one tamo file may be specified for the conversion.") if @ARGV;
#check pseudo total
pod2usage("Option -pseudo must have a positive value.") if ($pseudo_total < 0);

# read the background file
my %bg = &read_background_file(&dna(), $bg_file);

# Open the tamo file for reading.
my $tamo_fp;
sysopen($tamo_fp, $tamo_file, O_RDONLY) || die("Can't open $tamo_file.\n");

# Read the input file.
my %non_unique_ids = ();
my $line;
my %motifs;
my $motif;
my @ALPH = qw(A C G T);
my $line_number = 0;
while ($line = <$tamo_fp>) {
  chomp($line);
  $line_number++;

  if ($line =~ m/^Log-odds matrix.*\((\d+)\)/) {
    my $sites = $1;
    die("Expected motif source before next motif! Line $line_number\n") if $motif;
    $motif = &read_tamo_matrix($tamo_fp);
    $sites = 20 if $sites == 0;
    $motif->{sites} = $sites;
  } elsif ($line =~ m/^Source:\s+(\S+)\b/) {
    my $id = $1;
    die("Expected motif log-odds matrix before motif source! Line $line_number\n") unless $motif;
    if ($skips{$id}) {
      $motif = undef;
      next;
    }
    my $url = $url_pattern;
    $url =~ s/MOTIF_NAME/$id/g; #use the original id in the url
    if (defined $non_unique_ids{$id}) {
      $id .= "_" . ++$non_unique_ids{$id};
    } else {
      $non_unique_ids{$id} = 0;
    }
    $motif->{id} = $id;
    $motif->{url} = $url;
    $motifs{$id} = $motif;
    $motif = undef;
  }
}
close($tamo_fp);

unless ($bg_file) {
  my ($bgATsum, $bgATcount) = (0,0);
  # sum up all the background values
  # from all the motifs
  foreach $motif (values %motifs) {
    $bgATsum += $motif->{bg}->{A};
    $bgATcount++;
  }
  # calculate the average background
  $bg{A} = $bgATsum / $bgATcount;
  $bg{C} = 0.5 - $bg{A};
  $bg{G} = $bg{C};
  $bg{T} = $bg{A};
  $bg{source} = "multiple tamo log-odds matricies";
}
# set the background
foreach $motif (values %motifs) {
  $motif->{bg} = \%bg;
}
# apply the pseudocount
if ($pseudo_total > 0) {
  my $count_total = $motif->{sites} + $pseudo_total;
  foreach $motif (values %motifs) {
    $motif->{pseudo} = $pseudo_total;
    for (my $j = 0; $j < scalar(@ALPH); ++$j) {
      my $bgfreq = $bg{$ALPH[$j]};
      my $bgcount = $bgfreq * $pseudo_total;
      for (my $i = 0; $i < $motif->{width}; ++$i) {
        my $freq = $motif->{pspm}->{$ALPH[$j]}->[$i];
        my $count = $freq * $motif->{sites} + $bgcount;
        $motif->{pspm}->{$ALPH[$j]}->[$i] = $count / $count_total;
      }
    }
  }
}

my $num_motifs = 0;
foreach my $name (sort keys %motifs) {
  my $motif = $motifs{$name};
  if ($use_numbers) {
    $motif->{id} = $num_motifs + 1;
    $motif->{alt} = $name;
  }
  print intern_to_meme($motif, $print_logodds, 1, !($num_motifs++));
}



#
# Read in the tamo matrix
# It's a DNA log odds matrix in a weird order
#
sub read_tamo_matrix {
  my ($fp) = @_;
  my @alphabet = qw(A C T G);
  my @alphabeti = (0, 1, 3, 2);
  my @llm = ();
  my @pm = ();
  my $length = -1;

  # read the headers, which we don't actually need
  my $line = <$fp>;
  $line_number++;
  # read each line of the log-odds matrix
  for (my $i = 0; $i < 4; $i++) {
    $line = <$fp>;
    $line_number++;
    my $alph = $alphabet[$i];
    die("Expected #$alph at start of log-odds matrix line. Line $line_number\n") unless $line =~ m/^#[$alph]\s/;
    chomp($line); # remove newline
    my @elems = split(/\s+/, $line);
    shift(@elems); # get rid of the #A or #G or #T or #C
    pop(@elems) if ($elems[-1] =~ m/^\s*$/); # get rid of trailing space
    # check that everything that remains is a number
    for (my $j = 0; $j < scalar(@elems); $j++) {
      die("Expected number in log-odds matrix line. Line $line_number\n") unless looks_like_number($elems[$j]);
    }
    if ($length == -1) {
      $length = scalar(@elems);
      for (my $j = 0; $j < $length*4; $j++) {
        $llm[$j] = 0;
      }
    } else {
      die("Expected $length elements in row. Line $line_number\n") unless ($length == scalar(@elems));
    }
    # copy values over to matrix and transpose
    for (my $j = 0; $j < $length; $j++) {
      $llm[$alphabeti[$i] + $j * 4] = $elems[$j];
    }
  }

  # Compute background model from log-likelihood matrix
  #  by noting that:   
  #       pA  + pT  + pC  + pG  = 1
  #       and     bgA + bgT + bgC + bgG = 1
  #       and     bgA = bgT,   bgC = bgG
  #       and so  bgA = 0.5 - bgC
  #       and     pA  = lA * bgA,  etc for T, C, G
  #       so...
  #              (lA + lT)bgA + (lC + lG)bgC          =  1
  #              (lA + lT)bgA + (lC + lG)(0.5 - bgA)  =  1
  #              (lA + lT - lC - lG)bgA +(lC +lG)*0.5 =  1
  #               bgA                                 =  {1 - 0.5(lC + lG)}
  #                                                      / (lA + lT - lC - lG)
  my $bgATtot = 0;
  my $bgATcount = 0;
  my ($bgAT, $bgGC) = (0.25, 0.25);
  for (my $j = 0; $j < $length; $j++) {
    my $offset = 4 * $j;
    my ($lA, $lC, $lG, $lT) = @llm[$offset..($offset+3)];
    next if (&near0($lA) and &near0($lC) and &near0($lG) and &near0($lT));
    my $ATtot = (2 ** $lA) + (2 ** $lT);
    my $GCtot = (2 ** $lG) + (2 ** $lC);
    next if (&near0($ATtot - $GCtot));
    my $bgAT_j = (1.0 - 0.5 * $GCtot) / ($ATtot - $GCtot);
    next if ($bgAT_j < 0.1 or $bgAT_j > 1.1);
    $bgATtot += $bgAT_j;
    $bgATcount++;
  }
  if ($bgATcount > 0) {
    $bgAT = $bgATtot / $bgATcount;
    $bgGC = 0.5 - $bgAT;
    #print "AT: $bgAT   GC: $bgGC\n";
  } else {
    #print "Can not calculate bg\n";
  }

  # compute the probability matrix
  # ll         = log(p / bg);
  # ll         =  log(p) - log(bg);
  # log(p)     = ll + log(bg);
  # 2 ^ log(p) = 2 ^ (ll + log(bg))
  # p          = 2 ^ (ll + log(bg))
  my $log_bgAT = log($bgAT) / log(2);
  my $log_bgGC = log($bgGC) / log(2);
  my @log_bg = ($log_bgAT, $log_bgGC, $log_bgGC, $log_bgAT);
  for (my $j = 0; $j < $length; $j++) {
    for (my $i = 0; $i < 4; $i++) {
      my $offset = $j*4 + $i;
      $pm[$offset] = (2 ** ($llm[$offset] + $log_bg[$i]));
      # clip to bounds
      if ($pm[$offset] < 0) { $pm[$offset] = 0;}
    }
  }

  # put into internal motif format
  my $motif = {
    bg => {
      A => $bgAT,
      C => $bgGC,
      G => $bgGC,
      T => $bgAT,
      alph => &dna(),
      source => "tamo log-odds matrix"
    },
    strands => 2,
    id => "",
    alt => "",
    url => "",
    width => $length,
    sites => 20,
    pseudo => 0,
    evalue => 0,
    pspm => {
      A => [],
      C => [],
      G => [],
      T => []
    }
  };
  # normalise and assign to matrix
  for (my $j = 0; $j < $length; $j++) {
    my $offset = $j*4;
    my $row_sum = $pm[$offset + 0] + $pm[$offset + 1] + $pm[$offset + 2] + $pm[$offset + 3];
    # avoid division by zero
    if ($row_sum == 0) {
      $pm[$offset + 0] = 0.25;
      $pm[$offset + 1] = 0.25;
      $pm[$offset + 2] = 0.25;
      $pm[$offset + 3] = 0.25;
      $row_sum = 1;
    }
    $motif->{pspm}->{A}->[$j] = $pm[$offset + 0] / $row_sum;
    $motif->{pspm}->{C}->[$j] = $pm[$offset + 1] / $row_sum;
    $motif->{pspm}->{G}->[$j] = $pm[$offset + 2] / $row_sum;
    $motif->{pspm}->{T}->[$j] = $pm[$offset + 3] / $row_sum;
  }
  return $motif;
}

sub near0 {
  return (-0.01 < $_[0] and $_[0] < 0.01);
}
