void GA::init()
{
fout.open("./chromosomes/.1.dat",ios::out);
cout<<"\n\t[Generating Initial Chromosome Population]\n";
for(i=0;i<20;i++)
{
srand(time(0));
random_shuffle(str.begin(), str.end());
fout<<str<<"\n";
cout<<"\t\t"<<str<<"\n";
}
cout<<"OK......Initial Chromosome Pool Populated\n";
fout.close();
//CMAP
cout<<"\n========Encrypting Data Using Chromosome Pool=======";
cmap cm(GA::opt,1);
cout<<"\nOK......Mapping Performed\n";
//FREQUENCY ANALYSIS
cout<<"\n=================N-Gram Statistics==================\n";
calcfreq(1);
cout<<"\nOK......Statistical Analysis Performed\n";
//CALCULATE FITTNESS
cout<<"\n=========Evaluating Fitness of Chromosomes==========\n";
fitn(1);//1->for 1st generation
}
string Huffman::encode(string s)
{
map<char, int> freq = calcfreq(s);
map<char, node*> position;
node *p;
foreach(v, freq) {
node *p = maketree(v->second);
position[v->first] = p;
rootnodes.push(p);
}
void GA::crossover(int gen,int mode)
{
// for(int k=0;k<4;k++)
// cout<<ff[k]<<endl;
//--ga
if(mode==0) //Only GA, Mahesh's Work
{
string par1, par2, temp_l1, temp_l2, temp_r1, temp_r2, c1, c2, c3, c4,s2,str0,str1;
s2="./chromosomes/."+to_string(gen)+".dat";
fout.open(s2.c_str(),ios::out);
fout<<ff[0]<<"\n";
fout<<ff[1]<<"\n";
fout<<ff[2]<<"\n";
fout<<ff[3]<<"\n";
//----
// 0-1 0-2 0-3 1-2
//CROSSOVER
for(int i = 0;i < 1; i++)
{
for(int j = i+1;i+j < 3; j++)
{
par1=ff[i];
par2=ff[j];
temp_l1 = "";
temp_l2 = "";
temp_r1 = "";
temp_r2 = "";
// cout<<"\n\n Reading lines "<<i+1<<" and "<<j+1;
temp_l1.append(par1, 0, 15);
temp_r1.append(par1, 15, 11);
// cout<<"\ntemp_l1 (P1L) : "<<temp_l1;
// cout<<"\ntemp_r1 (P1R) : "<<temp_r1;
temp_l2.append(par2, 0, 15);
temp_r2.append(par2, 15, 11);
// cout<<"\ntemp_l2 (P2L) : "<<temp_l2;
// cout<<"\ntemp_r2 (P2R) : "<<temp_r2;
c1 = cross(temp_l1, temp_r2);
c2 = cross(temp_l2, temp_r1);
c3 = cross(temp_r2, temp_l1);
c4 = cross(temp_r1, temp_l2);
fout<<c1<<"\n";
fout<<c2<<"\n";
fout<<c3<<"\n";
fout<<c4<<"\n";
}
}
//MUTATION in parents ff[0] and ff[1]
str0=ff[0];
for(int i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str0.begin(), str0.end());
fout<<str0<<"\n";
}
str1=ff[1];
for(i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str1.begin(), str1.end());
fout<<str1<<"\n";
}
fout.close();
}
//--ga
//--sa
if(mode==1) //Only SA,
{
string s2,str0,str1,str2,str3;
s2="./chromosomes/."+to_string(gen)+".dat";
fout.open(s2.c_str(),ios::out);
fout<<ff[0]<<"\n";
fout<<ff[1]<<"\n";
fout<<ff[2]<<"\n";
fout<<ff[3]<<"\n";
str0=ff[0];
for(i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str0.begin(), str0.end());
fout<<str0<<"\n";
}
str1=ff[1];
for(i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str1.begin(), str1.end());
fout<<str1<<"\n";
}
str2=ff[2];
for(i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str2.begin(), str2.end());
fout<<str2<<"\n";
}
str3=ff[3];
for(i=0;i<4;i++)
{
srand(time(0));
random_shuffle(str3.begin(), str3.end());
fout<<str3<<"\n";
}
fout.close();
}
//--sa
//--hybrid
if(mode==2) //Hybrid Approach
{ string s2,str0,temp;
s2="./chromosomes/."+to_string(gen)+".dat";
fout.open(s2.c_str(),ios::out);
if(gen==80)//mqu
ff[0]="insxchqrwbgluvafkpmzejotyd";
string mk="insxchmrwbglqvafkpuzejotyd";
for(int itr=0;itr<4;itr++)
{ temp="";
for(int i=0;i<26;i++)
if(ff[itr][i]!=mk[i])
{ temp+=ff[itr][i];
ff[itr][i]='-';
}
for(int k=0;k<4;k++)
{ srand(time(0));
random_shuffle(temp.begin(), temp.end());
int c=0;str0=ff[itr];
for(i=0;i<26;i++)
if(str0[i]=='-')
{ str0[i]=temp[c];c++;}
fout<<str0<<"\n";
}
}
fout<<ff[0]<<"\n";
fout<<ff[1]<<"\n";
fout<<ff[2]<<"\n";
fout<<ff[3]<<"\n";
fout.close();
}
//--hybrid
//CMAP
cmap cm(GA::opt,gen);
//FREQUENCY ANALYSIS
calcfreq(gen);
//CALCULATE FITTNESS
fitn(gen);
}
void constants( int nseq, char **seq )
{
int i, j, x;
// double tmp;
if( dorp == 'd' ) /* DNA */
{
int k, m;
double average;
double **pamx = AllocateDoubleMtx( 11,11 );
double **pam1 = AllocateDoubleMtx( 4, 4 );
double *freq = AllocateDoubleVec( 4 );
scoremtx = -1;
if( RNAppenalty == NOTSPECIFIED ) RNAppenalty = DEFAULTRNAGOP_N;
if( RNAppenalty_ex == NOTSPECIFIED ) RNAppenalty_ex = DEFAULTRNAGEP_N;
if( ppenalty == NOTSPECIFIED ) ppenalty = DEFAULTGOP_N;
if( ppenalty_OP == NOTSPECIFIED ) ppenalty_OP = DEFAULTGOP_N;
if( ppenalty_ex == NOTSPECIFIED ) ppenalty_ex = DEFAULTGEP_N;
if( ppenalty_EX == NOTSPECIFIED ) ppenalty_EX = DEFAULTGEP_N;
if( poffset == NOTSPECIFIED ) poffset = DEFAULTOFS_N;
if( RNApthr == NOTSPECIFIED ) RNApthr = DEFAULTRNATHR_N;
if( pamN == NOTSPECIFIED ) pamN = DEFAULTPAMN;
if( kimuraR == NOTSPECIFIED ) kimuraR = 2;
RNApenalty = (int)( 3 * 600.0 / 1000.0 * RNAppenalty + 0.5 );
RNApenalty_ex = (int)( 3 * 600.0 / 1000.0 * RNAppenalty_ex + 0.5 );
// fprintf( stderr, "DEFAULTRNAGOP_N = %d\n", DEFAULTRNAGOP_N );
// fprintf( stderr, "RNAppenalty = %d\n", RNAppenalty );
// fprintf( stderr, "RNApenalty = %d\n", RNApenalty );
RNAthr = (int)( 3 * 600.0 / 1000.0 * RNApthr + 0.5 );
penalty = (int)( 3 * 600.0 / 1000.0 * ppenalty + 0.5);
penalty_OP = (int)( 3 * 600.0 / 1000.0 * ppenalty_OP + 0.5);
penalty_ex = (int)( 3 * 600.0 / 1000.0 * ppenalty_ex + 0.5);
penalty_EX = (int)( 3 * 600.0 / 1000.0 * ppenalty_EX + 0.5);
offset = (int)( 3 * 600.0 / 1000.0 * poffset + 0.5);
offsetFFT = (int)( 3 * 600.0 / 1000.0 * (-0) + 0.5);
offsetLN = (int)( 3 * 600.0 / 1000.0 * 100 + 0.5);
penaltyLN = (int)( 3 * 600.0 / 1000.0 * -2000 + 0.5);
penalty_exLN = (int)( 3 * 600.0 / 1000.0 * -100 + 0.5);
sprintf( modelname, "%s%d (%d), %6.3f (%6.3f), %6.3f (%6.3f)", rnakozo?"RNA":"DNA", pamN, kimuraR,
-(double)ppenalty*0.001, -(double)ppenalty*0.003, -(double)poffset*0.001, -(double)poffset*0.003 );
if( kimuraR == 9999 )
{
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] = (double)locn_disn[i][j];
#if NORMALIZE1
average = 0.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
average += pamx[i][j];
average /= 16.0;
if( disp )
fprintf( stderr, "average = %f\n", average );
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] -= average;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] *= 600.0 / average;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] -= offset;
#endif
}
else
{
double f = 0.99;
double s = (double)kimuraR / ( 2 + kimuraR ) * 0.01;
double v = (double)1 / ( 2 + kimuraR ) * 0.01;
pam1[0][0] = f; pam1[0][1] = s; pam1[0][2] = v; pam1[0][3] = v;
pam1[1][0] = s; pam1[1][1] = f; pam1[1][2] = v; pam1[1][3] = v;
pam1[2][0] = v; pam1[2][1] = v; pam1[2][2] = f; pam1[2][3] = s;
pam1[3][0] = v; pam1[3][1] = v; pam1[3][2] = s; pam1[3][3] = f;
fprintf( stderr, "generating %dPAM scoring matrix for nucleotides ... ", pamN );
if( disp )
{
fprintf( stderr, " TPM \n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", pam1[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
MtxuntDouble( pamx, 4 );
for( x=0; x < pamN; x++ ) MtxmltDouble( pamx, pam1, 4 );
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] /= 1.0 / 4.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
{
if( pamx[i][j] == 0.0 )
{
fprintf( stderr, "WARNING: pamx[i][j] = 0.0 ?\n" );
pamx[i][j] = 0.00001; /* by J. Thompson */
}
pamx[i][j] = log10( pamx[i][j] ) * 1000.0;
}
if( disp )
{
fprintf( stderr, " after log\n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", pamx[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
// ?????
for( i=0; i<26; i++ ) amino[i] = locaminon[i];
for( i=0; i<0x80; i++ ) amino_n[i] = -1;
for( i=0; i<26; i++ ) amino_n[(int)amino[i]] = i;
if( fmodel == 1 )
calcfreq_nuc( nseq, seq, freq );
else
{
freq[0] = 0.25;
freq[1] = 0.25;
freq[2] = 0.25;
freq[3] = 0.25;
}
// fprintf( stderr, "a, freq[0] = %f\n", freq[0] );
// fprintf( stderr, "g, freq[1] = %f\n", freq[1] );
// fprintf( stderr, "c, freq[2] = %f\n", freq[2] );
// fprintf( stderr, "t, freq[3] = %f\n", freq[3] );
average = 0.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
average += pamx[i][j] * freq[i] * freq[j];
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] -= average;
average = 0.0;
for( i=0; i<4; i++ )
average += pamx[i][i] * 1.0 / 4.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] *= 600.0 / average;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] -= offset; /* extending gap cost */
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
pamx[i][j] = shishagonyuu( pamx[i][j] );
if( disp )
{
fprintf( stderr, " after shishagonyuu\n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", pamx[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "done\n" );
}
for( i=0; i<5; i++ )
{
pamx[4][i] = pamx[3][i];
pamx[i][4] = pamx[i][3];
}
for( i=5; i<10; i++ ) for( j=5; j<10; j++ )
{
pamx[i][j] = pamx[i-5][j-5];
}
if( disp )
{
fprintf( stderr, " before dis\n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", pamx[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
if( disp )
{
fprintf( stderr, " score matrix \n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", pamx[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
for( i=0; i<26; i++ ) amino[i] = locaminon[i];
for( i=0; i<26; i++ ) amino_grp[(int)amino[i]] = locgrpn[i];
for( i=0; i<26; i++ ) for( j=0; j<26; j++ ) n_dis[i][j] = 0;
for( i=0; i<10; i++ ) for( j=0; j<10; j++ ) n_dis[i][j] = shishagonyuu( pamx[i][j] );
if( disp )
{
fprintf( stderr, " score matrix \n" );
for( i=0; i<26; i++ )
{
for( j=0; j<26; j++ )
fprintf( stderr, "%+6d", n_dis[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
// RIBOSUM
#if 1
average = 0.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
average += ribosum4[i][j] * freq[i] * freq[j];
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
ribosum4[i][j] -= average;
average = 0.0;
for( i=0; i<4; i++ ) for( j=0; j<4; j++ ) for( k=0; k<4; k++ ) for( m=0; m<4; m++ )
{
// if( i%4==0&&j%4==3 || i%4==3&&j%4==0 || i%4==1&&j%4==2 || i%4==2&&j%4==1 || i%4==1&&j%4==3 || i%4==3&&j%4==1 )
// if( k%4==0&&m%4==3 || k%4==3&&m%4==0 || k%4==1&&m%4==2 || k%4==2&&m%4==1 || k%4==1&&m%4==3 || k%4==3&&m%4==1 )
average += ribosum16[i*4+j][k*4+m] * freq[i] * freq[j] * freq[k] * freq[m];
}
for( i=0; i<16; i++ ) for( j=0; j<16; j++ )
ribosum16[i][j] -= average;
average = 0.0;
for( i=0; i<4; i++ )
average += ribosum4[i][i] * freq[i];
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
ribosum4[i][j] *= 600.0 / average;
average = 0.0;
average += ribosum16[0*4+3][0*4+3] * freq[0] * freq[3]; // AU
average += ribosum16[3*4+0][3*4+0] * freq[3] * freq[0]; // UA
average += ribosum16[1*4+2][1*4+2] * freq[1] * freq[2]; // CG
average += ribosum16[2*4+1][2*4+1] * freq[2] * freq[1]; // GC
average += ribosum16[1*4+3][1*4+3] * freq[1] * freq[3]; // GU
average += ribosum16[3*4+1][3*4+1] * freq[3] * freq[1]; // UG
for( i=0; i<16; i++ ) for( j=0; j<16; j++ )
ribosum16[i][j] *= 600.0 / average;
#if 1
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
ribosum4[i][j] -= offset; /* extending gap cost ?????*/
for( i=0; i<16; i++ ) for( j=0; j<16; j++ )
ribosum16[i][j] -= offset; /* extending gap cost ?????*/
#endif
for( i=0; i<4; i++ ) for( j=0; j<4; j++ )
ribosum4[i][j] = shishagonyuu( ribosum4[i][j] );
for( i=0; i<16; i++ ) for( j=0; j<16; j++ )
ribosum16[i][j] = shishagonyuu( ribosum16[i][j] );
if( disp )
{
fprintf( stderr, "ribosum after shishagonyuu\n" );
for( i=0; i<4; i++ )
{
for( j=0; j<4; j++ )
fprintf( stderr, "%+#6.10f", ribosum4[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
fprintf( stderr, "ribosum16 after shishagonyuu\n" );
for( i=0; i<16; i++ )
{
for( j=0; j<16; j++ )
fprintf( stderr, "%+#7.0f", ribosum16[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "done\n" );
#if 1
for( i=0; i<37; i++ ) for( j=0; j<37; j++ ) ribosumdis[i][j] = 0.0; //iru
for( m=0; m<9; m++ ) for( i=0; i<4; i++ ) // loop
for( k=0; k<9; k++ ) for( j=0; j<4; j++ ) ribosumdis[m*4+i][k*4+j] = ribosum4[i][j]; // loop-loop
// for( k=0; k<9; k++ ) for( j=0; j<4; j++ ) ribosumdis[m*4+i][k*4+j] = n_dis[i][j]; // loop-loop
for( i=0; i<16; i++ ) for( j=0; j<16; j++ ) ribosumdis[i+4][j+4] = ribosum16[i][j]; // stem5-stem5
for( i=0; i<16; i++ ) for( j=0; j<16; j++ ) ribosumdis[i+20][j+20] = ribosum16[i][j]; // stem5-stem5
#else // do not use ribosum
for( i=0; i<37; i++ ) for( j=0; j<37; j++ ) ribosumdis[i][j] = 0.0; //iru
for( m=0; m<9; m++ ) for( i=0; i<4; i++ ) // loop
for( k=0; k<9; k++ ) for( j=0; j<4; j++ ) ribosumdis[m*4+i][k*4+j] = n_dis[i][j]; // loop-loop
#endif
if( disp )
{
fprintf( stderr, "ribosumdis\n" );
for( i=0; i<37; i++ )
{
for( j=0; j<37; j++ )
fprintf( stderr, "%+5d", ribosumdis[i][j] );
fprintf( stderr, "\n" );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "done\n" );
#endif
FreeDoubleMtx( pam1 );
FreeDoubleMtx( pamx );
free( freq );
}
else if( dorp == 'p' && scoremtx == 1 ) /* Blosum */
{
double *freq;
double *freq1;
double *datafreq;
double average;
// double tmp;
double **n_distmp;
n_distmp = AllocateDoubleMtx( 20, 20 );
datafreq = AllocateDoubleVec( 20 );
freq = AllocateDoubleVec( 20 );
if( ppenalty == NOTSPECIFIED ) ppenalty = DEFAULTGOP_B;
if( ppenalty_OP == NOTSPECIFIED ) ppenalty_OP = DEFAULTGOP_B;
if( ppenalty_ex == NOTSPECIFIED ) ppenalty_ex = DEFAULTGEP_B;
if( ppenalty_EX == NOTSPECIFIED ) ppenalty_EX = DEFAULTGEP_B;
if( poffset == NOTSPECIFIED ) poffset = DEFAULTOFS_B;
if( pamN == NOTSPECIFIED ) pamN = 0;
if( kimuraR == NOTSPECIFIED ) kimuraR = 1;
penalty = (int)( 600.0 / 1000.0 * ppenalty + 0.5 );
penalty_OP = (int)( 600.0 / 1000.0 * ppenalty_OP + 0.5 );
penalty_ex = (int)( 600.0 / 1000.0 * ppenalty_ex + 0.5 );
penalty_EX = (int)( 600.0 / 1000.0 * ppenalty_EX + 0.5 );
offset = (int)( 600.0 / 1000.0 * poffset + 0.5 );
offsetFFT = (int)( 600.0 / 1000.0 * (-0) + 0.5);
offsetLN = (int)( 600.0 / 1000.0 * 100 + 0.5);
penaltyLN = (int)( 600.0 / 1000.0 * -2000 + 0.5);
penalty_exLN = (int)( 600.0 / 1000.0 * -100 + 0.5);
BLOSUMmtx( nblosum, n_distmp, freq, amino, amino_grp );
if( nblosum == -1 )
sprintf( modelname, "User-defined, %6.3f, %+6.3f, %+6.3f", -(double)ppenalty/1000, -(double)poffset/1000, -(double)ppenalty_ex/1000 );
else
sprintf( modelname, "BLOSUM%d, %6.3f, %+6.3f, %+6.3f", nblosum, -(double)ppenalty/1000, -(double)poffset/1000, -(double)ppenalty_ex/1000 );
#if 0
for( i=0; i<26; i++ ) amino[i] = locaminod[i];
for( i=0; i<26; i++ ) amino_grp[(int)amino[i]] = locgrpd[i];
for( i=0; i<0x80; i++ ) amino_n[i] = 0;
for( i=0; i<26; i++ ) amino_n[(int)amino[i]] = i;
#endif
for( i=0; i<0x80; i++ )amino_n[i] = -1;
for( i=0; i<26; i++) amino_n[(int)amino[i]] = i;
if( fmodel == 1 )
{
calcfreq( nseq, seq, datafreq );
freq1 = datafreq;
}
else
freq1 = freq;
#if TEST
fprintf( stderr, "raw scoreing matrix : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%6.2f", n_distmp[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
if( fmodel == -1 )
average = 0.0;
else
{
for( i=0; i<20; i++ )
#if TEST
fprintf( stdout, "freq[%c] = %f, datafreq[%c] = %f, freq1[] = %f\n", amino[i], freq[i], amino[i], datafreq[i], freq1[i] );
#endif
average = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
average += n_distmp[i][j] * freq1[i] * freq1[j];
}
#if TEST
fprintf( stdout, "####### average2 = %f\n", average );
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
n_distmp[i][j] -= average;
#if TEST
fprintf( stdout, "average2 = %f\n", average );
fprintf( stdout, "after average substruction : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%6.2f", n_distmp[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
average = 0.0;
for( i=0; i<20; i++ )
average += n_distmp[i][i] * freq1[i];
#if TEST
fprintf( stdout, "####### average1 = %f\n", average );
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
n_distmp[i][j] *= 600.0 / average;
#if TEST
fprintf( stdout, "after average division : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<=i; j++ )
{
fprintf( stdout, "%7.1f", n_distmp[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
n_distmp[i][j] -= offset;
#if TEST
fprintf( stdout, "after offset substruction (offset = %d): \n", offset );
for( i=0; i<20; i++ )
{
for( j=0; j<=i; j++ )
{
fprintf( stdout, "%7.1f", n_distmp[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
#if 0
/* 注意 ！！！！！！！！！！ */
penalty -= offset;
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
n_distmp[i][j] = shishagonyuu( n_distmp[i][j] );
if( disp )
{
fprintf( stdout, " scoring matrix \n" );
for( i=0; i<20; i++ )
{
fprintf( stdout, "%c ", amino[i] );
for( j=0; j<20; j++ )
fprintf( stdout, "%5.0f", n_distmp[i][j] );
fprintf( stdout, "\n" );
}
fprintf( stdout, " " );
for( i=0; i<20; i++ )
fprintf( stdout, " %c", amino[i] );
average = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
average += n_distmp[i][j] * freq1[i] * freq1[j];
fprintf( stdout, "average = %f\n", average );
average = 0.0;
for( i=0; i<20; i++ )
average += n_distmp[i][i] * freq1[i];
fprintf( stdout, "itch average = %f\n", average );
fprintf( stderr, "parameters: %d, %d, %d\n", penalty, penalty_ex, offset );
exit( 1 );
}
for( i=0; i<26; i++ ) for( j=0; j<26; j++ ) n_dis[i][j] = 0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ ) n_dis[i][j] = (int)n_distmp[i][j];
FreeDoubleMtx( n_distmp );
FreeDoubleVec( datafreq );
FreeDoubleVec( freq );
fprintf( stderr, "done.\n" );
}
else if( dorp == 'p' && scoremtx == 2 ) /* Miyata-Yasunaga */
{
fprintf( stderr, "Not supported\n" );
exit( 1 );
for( i=0; i<26; i++ ) for( j=0; j<26; j++ ) n_dis[i][j] = locn_dism[i][j];
for( i=0; i<26; i++ ) if( i != 24 ) n_dis[i][24] = n_dis[24][i] = exgpm;
n_dis[24][24] = 0;
if( ppenalty == NOTSPECIFIED ) ppenalty = locpenaltym;
if( poffset == NOTSPECIFIED ) poffset = -20;
if( pamN == NOTSPECIFIED ) pamN = 0;
if( kimuraR == NOTSPECIFIED ) kimuraR = 1;
penalty = ppenalty;
offset = poffset;
sprintf( modelname, "Miyata-Yasunaga, %6.3f, %6.3f", -(double)ppenalty/1000, -(double)poffset/1000 );
for( i=0; i<26; i++ ) amino[i] = locaminom[i];
for( i=0; i<26; i++ ) amino_grp[(int)amino[i]] = locgrpm[i];
#if DEBUG
fprintf( stdout, "scoreing matrix : \n" );
for( i=0; i<26; i++ )
{
for( j=0; j<26; j++ )
{
fprintf( stdout, "%#5d", n_dis[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
}
else /* JTT */
{
double **rsr;
double **pam1;
double **pamx;
double *freq;
double *freq1;
double *mutab;
double *datafreq;
double average;
double tmp;
double delta;
rsr = AllocateDoubleMtx( 20, 20 );
pam1 = AllocateDoubleMtx( 20, 20 );
pamx = AllocateDoubleMtx( 20, 20 );
freq = AllocateDoubleVec( 20 );
mutab = AllocateDoubleVec( 20 );
datafreq = AllocateDoubleVec( 20 );
if( ppenalty == NOTSPECIFIED ) ppenalty = DEFAULTGOP_J;
if( ppenalty_OP == NOTSPECIFIED ) ppenalty_OP = DEFAULTGOP_J;
if( ppenalty_ex == NOTSPECIFIED ) ppenalty_ex = DEFAULTGEP_J;
if( ppenalty_EX == NOTSPECIFIED ) ppenalty_EX = DEFAULTGEP_J;
if( poffset == NOTSPECIFIED ) poffset = DEFAULTOFS_J;
if( pamN == NOTSPECIFIED ) pamN = DEFAULTPAMN;
if( kimuraR == NOTSPECIFIED ) kimuraR = 1;
penalty = (int)( 600.0 / 1000.0 * ppenalty + 0.5 );
penalty_OP = (int)( 600.0 / 1000.0 * ppenalty_OP + 0.5 );
penalty_ex = (int)( 600.0 / 1000.0 * ppenalty_ex + 0.5 );
penalty_EX = (int)( 600.0 / 1000.0 * ppenalty_EX + 0.5 );
offset = (int)( 600.0 / 1000.0 * poffset + 0.5 );
offsetFFT = (int)( 600.0 / 1000.0 * (-0) + 0.5 );
offsetLN = (int)( 600.0 / 1000.0 * 100 + 0.5);
penaltyLN = (int)( 600.0 / 1000.0 * -2000 + 0.5);
penalty_exLN = (int)( 600.0 / 1000.0 * -100 + 0.5);
sprintf( modelname, "%s %dPAM, %6.3f, %6.3f", (TMorJTT==TM)?"Transmembrane":"JTT", pamN, -(double)ppenalty/1000, -(double)poffset/1000 );
JTTmtx( rsr, freq, amino, amino_grp, (int)(TMorJTT==TM) );
#if TEST
fprintf( stdout, "rsr = \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%9.2f ", rsr[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
for( i=0; i<0x80; i++ ) amino_n[i] = -1;
for( i=0; i<26; i++ ) amino_n[(int)amino[i]] = i;
if( fmodel == 1 )
{
calcfreq( nseq, seq, datafreq );
freq1 = datafreq;
}
else
freq1 = freq;
fprintf( stderr, "generating %dPAM %s scoring matrix for amino acids ... ", pamN, (TMorJTT==TM)?"Transmembrane":"JTT" );
tmp = 0.0;
for( i=0; i<20; i++ )
{
mutab[i] = 0.0;
for( j=0; j<20; j++ )
mutab[i] += rsr[i][j] * freq[j];
tmp += mutab[i] * freq[i];
}
#if TEST
fprintf( stdout, "mutability = \n" );
for( i=0; i<20; i++ )
fprintf( stdout, "%5.3f\n", mutab[i] );
fprintf( stdout, "tmp = %f\n", tmp );
#endif
delta = 0.01 / tmp;
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
if( i != j )
pam1[i][j] = delta * rsr[i][j] * freq[i];
else
pam1[i][j] = 1.0 - delta * mutab[i];
}
}
if( disp )
{
fprintf( stdout, "pam1 = \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%9.6f ", pam1[i][j] );
}
fprintf( stdout, "\n" );
}
}
MtxuntDouble( pamx, 20 );
for( x=0; x < pamN; x++ ) MtxmltDouble( pamx, pam1, 20 );
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
pamx[i][j] /= freq[j];
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
{
if( pamx[i][j] == 0.0 )
{
fprintf( stderr, "WARNING: pamx[%d][%d] = 0.0?\n", i, j );
pamx[i][j] = 0.00001; /* by J. Thompson */
}
pamx[i][j] = log10( pamx[i][j] ) * 1000.0;
}
#if TEST
fprintf( stdout, "raw scoring matrix : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%5.0f", pamx[i][j] );
}
fprintf( stdout, "\n" );
}
average = tmp = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
{
average += pamx[i][j] * freq1[i] * freq1[j];
tmp += freq1[i] * freq1[j];
}
average /= tmp;
fprintf( stdout, "Zenbu average = %f, tmp = %f \n", average, tmp );
average = tmp = 0.0;
for( i=0; i<20; i++ ) for( j=i; j<20; j++ )
{
average += pamx[i][j] * freq1[i] * freq1[j];
tmp += freq1[i] * freq1[j];
}
average /= tmp;
fprintf( stdout, "Zenbu average2 = %f, tmp = %f \n", average, tmp );
average = tmp = 0.0;
for( i=0; i<20; i++ )
{
average += pamx[i][i] * freq1[i];
tmp += freq1[i];
}
average /= tmp;
fprintf( stdout, "Itch average = %f, tmp = %f \n", average, tmp );
#endif
#if NORMALIZE1
if( fmodel == -1 )
average = 0.0;
else
{
#if TEST
for( i=0; i<20; i++ )
fprintf( stdout, "freq[%c] = %f, datafreq[%c] = %f, freq1[] = %f\n", amino[i], freq[i], amino[i], datafreq[i], freq1[i] );
#endif
average = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
average += pamx[i][j] * freq1[i] * freq1[j];
}
#if TEST
fprintf( stdout, "####### average2 = %f\n", average );
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
pamx[i][j] -= average;
#if TEST
fprintf( stdout, "average2 = %f\n", average );
fprintf( stdout, "after average substruction : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stdout, "%5.0f", pamx[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
average = 0.0;
for( i=0; i<20; i++ )
average += pamx[i][i] * freq1[i];
#if TEST
fprintf( stdout, "####### average1 = %f\n", average );
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
pamx[i][j] *= 600.0 / average;
#if TEST
fprintf( stdout, "after average division : \n" );
for( i=0; i<20; i++ )
{
for( j=0; j<=i; j++ )
{
fprintf( stdout, "%5.0f", pamx[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
pamx[i][j] -= offset;
#if TEST
fprintf( stdout, "after offset substruction (offset = %d): \n", offset );
for( i=0; i<20; i++ )
{
for( j=0; j<=i; j++ )
{
fprintf( stdout, "%5.0f", pamx[i][j] );
}
fprintf( stdout, "\n" );
}
#endif
#if 0
/* 注意 ！！！！！！！！！！ */
penalty -= offset;
#endif
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
pamx[i][j] = shishagonyuu( pamx[i][j] );
#else
average = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
average += pamx[i][j];
average /= 400.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
{
pamx[i][j] -= average;
pamx[i][j] = shishagonyuu( pamx[i][j] );
}
#endif
if( disp )
{
fprintf( stdout, " scoring matrix \n" );
for( i=0; i<20; i++ )
{
fprintf( stdout, "%c ", amino[i] );
for( j=0; j<20; j++ )
fprintf( stdout, "%5.0f", pamx[i][j] );
fprintf( stdout, "\n" );
}
fprintf( stdout, " " );
for( i=0; i<20; i++ )
fprintf( stdout, " %c", amino[i] );
average = 0.0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ )
average += pamx[i][j] * freq1[i] * freq1[j];
fprintf( stdout, "average = %f\n", average );
average = 0.0;
for( i=0; i<20; i++ )
average += pamx[i][i] * freq1[i];
fprintf( stdout, "itch average = %f\n", average );
fprintf( stderr, "parameters: %d, %d, %d\n", penalty, penalty_ex, offset );
exit( 1 );
}
for( i=0; i<26; i++ ) for( j=0; j<26; j++ ) n_dis[i][j] = 0;
for( i=0; i<20; i++ ) for( j=0; j<20; j++ ) n_dis[i][j] = (int)pamx[i][j];
fprintf( stderr, "done.\n" );
FreeDoubleMtx( rsr );
FreeDoubleMtx( pam1 );
FreeDoubleMtx( pamx );
FreeDoubleVec( freq );
FreeDoubleVec( mutab );
FreeDoubleVec( datafreq );
}
fprintf( stderr, "scoremtx = %d\n", scoremtx );
#if DEBUG
fprintf( stderr, "scoremtx = %d\n", scoremtx );
fprintf( stderr, "amino[] = %s\n", amino );
#endif
for( i=0; i<0x80; i++ )amino_n[i] = -1;
for( i=0; i<26; i++) amino_n[(int)amino[i]] = i;
for( i=0; i<0x80; i++ ) for( j=0; j<0x80; j++ ) amino_dis[i][j] = 0;
for( i=0; i<0x80; i++ ) for( j=0; j<0x80; j++ ) amino_disLN[i][j] = 0;
for( i=0; i<0x80; i++ ) for( j=0; j<0x80; j++ ) amino_dis_consweight_multi[i][j] = 0.0;
for( i=0; i<26; i++) for( j=0; j<26; j++ )
{
amino_dis[(int)amino[i]][(int)amino[j]] = n_dis[i][j];
n_dis_consweight_multi[i][j] = (float)n_dis[i][j] * consweight_multi;
amino_dis_consweight_multi[(int)amino[i]][(int)amino[j]] = (double)n_dis[i][j] * consweight_multi;
}
if( dorp == 'd' ) /* DNA */
{
for( i=0; i<5; i++) for( j=0; j<5; j++ )
amino_disLN[(int)amino[i]][(int)amino[j]] = n_dis[i][j] + offset - offsetLN;
for( i=5; i<10; i++) for( j=5; j<10; j++ )
amino_disLN[(int)amino[i]][(int)amino[j]] = n_dis[i][j] + offset - offsetLN;
for( i=0; i<5; i++) for( j=0; j<5; j++ )
n_disFFT[i][j] = n_dis[i][j] + offset - offsetFFT;
for( i=5; i<10; i++) for( j=5; j<10; j++ )
n_disFFT[i][j] = n_dis[i][j] + offset - offsetFFT;
}
else // protein
{
for( i=0; i<20; i++) for( j=0; j<20; j++ )
amino_disLN[(int)amino[i]][(int)amino[j]] = n_dis[i][j] + offset - offsetLN;
for( i=0; i<20; i++) for( j=0; j<20; j++ )
n_disFFT[i][j] = n_dis[i][j] + offset - offsetFFT;
}
#if 0
fprintf( stderr, "amino_dis (offset = %d): \n", offset );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stderr, "%5d", amino_dis[(int)amino[i]][(int)amino[j]] );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "amino_disLN (offsetLN = %d): \n", offsetLN );
for( i=0; i<20; i++ )
{
for( j=0; j<20; j++ )
{
fprintf( stderr, "%5d", amino_disLN[(int)amino[i]][(int)amino[j]] );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "n_dis (offset = %d): \n", offset );
for( i=0; i<26; i++ )
{
for( j=0; j<26; j++ )
{
fprintf( stderr, "%5d", n_dis[i][j] );
}
fprintf( stderr, "\n" );
}
fprintf( stderr, "n_disFFT (offsetFFT = %d): \n", offsetFFT );
for( i=0; i<26; i++ )
{
for( j=0; j<26; j++ )
{
fprintf( stderr, "%5d", n_disFFT[i][j] );
}
fprintf( stderr, "\n" );
}
exit( 1 );
#endif
ppid = 0;
if( fftThreshold == NOTSPECIFIED )
{
fftThreshold = FFT_THRESHOLD;
}
if( fftWinSize == NOTSPECIFIED )
{
if( dorp == 'd' )
fftWinSize = FFT_WINSIZE_D;
else
fftWinSize = FFT_WINSIZE_P;
}
if( fftscore )
{
double av, sd;
for( i=0; i<20; i++ ) polarity[i] = polarity_[i];
for( av=0.0, i=0; i<20; i++ ) av += polarity[i];
av /= 20.0;
for( sd=0.0, i=0; i<20; i++ ) sd += ( polarity[i]-av ) * ( polarity[i]-av );
sd /= 20.0; sd = sqrt( sd );
for( i=0; i<20; i++ ) polarity[i] -= av;
for( i=0; i<20; i++ ) polarity[i] /= sd;
for( i=0; i<20; i++ ) volume[i] = volume_[i];
for( av=0.0, i=0; i<20; i++ ) av += volume[i];
av /= 20.0;
for( sd=0.0, i=0; i<20; i++ ) sd += ( volume[i]-av ) * ( volume[i]-av );
sd /= 20.0; sd = sqrt( sd );
for( i=0; i<20; i++ ) volume[i] -= av;
for( i=0; i<20; i++ ) volume[i] /= sd;
#if 0
for( i=0; i<20; i++ ) fprintf( stdout, "amino=%c, pol = %f<-%f, vol = %f<-%f\n", amino[i], polarity[i], polarity_[i], volume[i], volume_[i] );
for( i=0; i<20; i++ ) fprintf( stdout, "%c %+5.3f %+5.3f\n", amino[i], volume[i], polarity[i] );
#endif
}
}
