/* ---------------- aa_strct_2_prob_vec ----------------------
* This calculates probabilities, using both sequence and structure
* terms.
*/
struct prob_vec *
aa_strct_2_prob_vec (struct coord *structure,
const struct aa_strct_clssfcn *cmodel, const int norm)
{
const char *this_sub = "aa_strct_2_prob_vec";
struct prob_vec *pvec;
struct seq *seqtmp;
static int debug_n = 1;
if (debug_n) {
debug_n = 0;
err_printf (this_sub, "%s called in new version\n", this_sub);
}
if (!structure) {
err_printf (this_sub, "No Structure Input\n");
return NULL;
}
if (!cmodel || !cmodel->strct || !cmodel->log_pp) {
err_printf (this_sub, "No Classification Input\n");
return NULL;
}
seqtmp = coord_get_seq (structure);
pvec= seq_strct_2_prob_vec (structure, seqtmp, 0,
structure->size, cmodel, norm);
seq_destroy (seqtmp);
return pvec;
}
static int handle_seq_destroy (seqhash_t *s, JSON in, JSON *outp)
{
const char *name;
if (!Jget_str (in, "name", &name)) {
errno = EPROTO;
return (-1);
}
if (seq_destroy (s, name) < 0)
return (-1);
*outp = Jnew ();
Jadd_str (*outp, "name", name);
Jadd_bool (*outp, "destroyed", true);
return (0);
}
int main()
{
struct list *data = NULL;
seq_read(&data);
seq_write(data);
__VERIFIER_plot(NULL);
// NOTE: you may mix seq_insert/seq_sort as you like, we'll take care of it
seq_sort(&data);
seq_write(data);
__VERIFIER_plot(NULL);
seq_destroy(data);
__VERIFIER_plot(NULL);
return 0;
}
void run_scan( int argc, char *argv[] )
{
/* Martin A. Hansen, September 2008 */
/* For each file in argv scan the file for */
/* bipartite motifs and output the motifs */
/* and their count. */
char *file = NULL;
int i = 0;
seq_entry *entry = NULL;
uint *count_array = NULL;
// size_t new_nmemb = 0;
count_array = count_array_new( COUNT_ARRAY_NMEMB );
entry = seq_new( MAX_SEQ_NAME, MAX_SEQ );
for ( i = 1; i < argc; i++ )
{
file = argv[ i ];
fprintf( stderr, "Scanning file: %s\n", file );
scan_file( file, entry, count_array );
fprintf( stderr, "done.\n" );
}
// fprintf( stderr, "Printing motifs: ... " );
// count_array_print( count_array, COUNT_ARRAY_NMEMB, CUTOFF );
// fprintf( stderr, "done.\n" );
file = argv[ 1 ];
fprintf( stderr, "Rescanning file: %s\n", file );
rescan_file( file, entry, count_array, CUTOFF );
fprintf( stderr, "done.\n" );
seq_destroy( entry );
mem_free( &count_array );
}
/* ---------------- seq_strct_2_duplicated_prob_vec -----------------------
* Duplikate the pvec while structure estimation and also duplicate the sequence,
* each n-times.
* return:
* struct prob_vec *pvec
* Notice: not used, but who knows if it will became useful one day !
* (Martin May, 2007)
*/
struct prob_vec *
strct_2_duplicated_prob_vec (struct coord *structure, const struct seq *seq,
const struct seqprof *sp, const size_t size,
const struct aa_strct_clssfcn *cmodel, const size_t n_duplications)
{
size_t i, j;
float *fragment;
struct prob_vec *pvec;
float **aa_prob;
struct aa_clssfcn *aa_class;
const size_t n_pvec = size - cmodel->n_att + 1;
if ((pvec = new_pvec (cmodel->n_att, n_duplications * size , n_duplications * n_pvec,
cmodel->strct->n_class))!= NULL) {
for (i = 0; i < (n_duplications * n_pvec); i++) /* Initialize mship */
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] = cmodel->strct->class_weight[j];
if (structure) { /* Structure membership */
for (i = 0; i < n_pvec; i++){ /* for every fragment...*/
/* twice for every fragment on position i as on i + size */
fragment = getFragment (i , cmodel->n_att, structure);
for (j = 0; j < n_duplications; j++){
if (computeMembershipStrct(pvec->mship[ i + j * n_pvec], fragment,
cmodel->strct) == NULL) {
prob_vec_destroy (pvec);
return NULL;
}
}
}
free_if_not_null (fragment);
}
if (sp || seq) { /* Sequence or profile membership */
aa_prob = f_matrix (n_duplications * n_pvec, cmodel->strct->n_class);
aa_class = E_MALLOC (sizeof (struct aa_clssfcn));
aa_class->n_class = cmodel->strct->n_class;
aa_class->n_att = cmodel->n_att;
aa_class->log_pp = cmodel->log_pp;
aa_class->class_wt = cmodel->strct->class_weight;
if (seq){
struct seq *s = seq_duplicate ( seq , n_duplications );
if (computeMembershipAA (aa_prob, s, aa_class)
== EXIT_FAILURE) {
prob_vec_destroy (pvec);
return NULL;
}
seq_destroy (s);
} else if (sp) {
if (computeMembershipAAProf (aa_prob, sp, aa_class)
== EXIT_FAILURE) {
prob_vec_destroy (pvec);
return NULL;
}
}
free (aa_class);
for (i = 0; i < n_duplications * n_pvec; i++)
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] *= aa_prob[i][j];
kill_f_matrix (aa_prob);
}
for (i = 0; i < (n_duplications * n_pvec); i++){
double sum = 0.0;
for (j = 0; j < cmodel->strct->n_class; j++)
sum += pvec->mship[i][j];
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] /= sum;
}
pvec->norm_type = PVEC_TRUE_PROB;
}
return pvec;
}
/* ---------------- seq_strct_2_prob_vec -----------------------
* This calculates probabilities for using combinations of
* sequence and structure, sequence profile and structure,
* sequence only, sequence profile only, and structure only.
*/
static struct prob_vec *
seq_strct_2_prob_vec (struct coord *structure, const struct seq *seq,
const struct seqprof *sp, const size_t size,
const struct aa_strct_clssfcn *cmodel,
const enum yes_no norm)
{
size_t i, j, compnd_len;
float *fragment;
struct prob_vec *pvec;
float **aa_prob;
struct aa_clssfcn *aa_class;
const size_t n_pvec = size - cmodel->n_att + 1;
if ((pvec = new_pvec (cmodel->n_att, size,n_pvec,
cmodel->strct->n_class))!= NULL) {
for (i = 0; i < n_pvec; i++) /* Initialize mship */
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] = cmodel->strct->class_weight[j];
if (structure) { /* Structure membership */
for (i = 0; i < n_pvec; i++) { /* for every fragment...*/
fragment = getFragment (i, cmodel->n_att, structure);
if (computeMembershipStrct(pvec->mship[i], fragment,
cmodel->strct) == NULL) {
prob_vec_destroy (pvec);
return NULL;
}
}
free_if_not_null (fragment);
}
if (sp || seq) { /* Sequence or profile membership */
aa_prob = f_matrix (n_pvec, cmodel->strct->n_class);
aa_class = E_MALLOC (sizeof (struct aa_clssfcn));
aa_class->n_class = cmodel->strct->n_class;
aa_class->n_att = cmodel->n_att;
aa_class->log_pp = cmodel->log_pp;
aa_class->class_wt = cmodel->strct->class_weight;
if (seq){
struct seq *s = seq_copy (seq);
if (computeMembershipAA (aa_prob, s, aa_class)
== EXIT_FAILURE) {
prob_vec_destroy (pvec);
return NULL;
}
seq_destroy (s);
} else if (sp) {
if (computeMembershipAAProf (aa_prob, sp, aa_class)
== EXIT_FAILURE) {
prob_vec_destroy (pvec);
return NULL;
}
}
free (aa_class);
for (i = 0; i < n_pvec; i++)
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] *= aa_prob[i][j];
kill_f_matrix (aa_prob);
}
if (norm == YES) {
for (i = 0; i < n_pvec; i++){
double sum = 0.0;
for (j = 0; j < cmodel->strct->n_class; j++)
sum += pvec->mship[i][j];
for (j = 0; j < cmodel->strct->n_class; j++)
pvec->mship[i][j] /= sum;
}
pvec->norm_type = PVEC_TRUE_PROB;
}
}
/*shoffmann*/
compnd_len = structure->compnd_len;
/*finally read compound*/
if(compnd_len > 0){
pvec->compnd = E_MALLOC(compnd_len*sizeof(char));
pvec->compnd = memmove(pvec->compnd, structure->compnd, compnd_len);
}
pvec->compnd_len = compnd_len;
return pvec;
}
