int splicing_dgesdd(const splicing_matrix_t *matrix,
splicing_vector_t *values) {
splicing_matrix_t tmp;
int m=splicing_matrix_nrow(matrix);
int n=splicing_matrix_ncol(matrix);
int lda=m, minmn= m < n ? m : n, maxmn = m < n ? n : m;
int lwork=-1;
int info=0;
splicing_vector_t work;
splicing_vector_int_t iwork;
char jobz='N';
int dummy=1;
double dummy2;
SPLICING_CHECK(splicing_matrix_copy(&tmp, matrix));
SPLICING_FINALLY(splicing_matrix_destroy, &tmp);
SPLICING_CHECK(splicing_vector_init(&work, 1));
SPLICING_FINALLY(splicing_vector_destroy, &work);
SPLICING_CHECK(splicing_vector_int_init(&iwork, 8*minmn));
SPLICING_FINALLY(splicing_vector_int_destroy, &iwork);
SPLICING_CHECK(splicing_vector_resize(values, minmn));
/* Get the optiomal lwork first*/
splicingdgesdd_(&jobz, &m, &n, &MATRIX(tmp,0,0), &lda, VECTOR(*values),
/*U=*/ &dummy2, /*LDU=*/ &dummy,
/*VT=*/ &dummy2, /*LDVT=*/ &dummy,
VECTOR(work), &lwork, VECTOR(iwork), &info);
lwork = VECTOR(work)[0];
SPLICING_CHECK(splicing_vector_resize(&work, lwork));
/* Now do the SVD */
splicingdgesdd_(&jobz, &m, &n, &MATRIX(tmp,0,0), &lda, VECTOR(*values),
/*U=*/ &dummy2, /*LDU=*/ &dummy,
/*VT=*/ &dummy2, /*LDVT=*/ &dummy,
VECTOR(work), &lwork, VECTOR(iwork), &info);
if (info != 0) {
SPLICING_ERROR("Cannot calculate SVD", SPLICING_ELAPACK);
}
splicing_vector_destroy(&work);
splicing_vector_int_destroy(&iwork);
splicing_matrix_destroy(&tmp);
SPLICING_FINALLY_CLEAN(3);
return 0;
}
int splicing_vector_rank(const splicing_vector_t *v, splicing_vector_t *res,
long int nodes) {
splicing_vector_t rad;
splicing_vector_t ptr;
long int edges = splicing_vector_size(v);
long int i, c=0;
SPLICING_VECTOR_INIT_FINALLY(&rad, nodes);
SPLICING_VECTOR_INIT_FINALLY(&ptr, edges);
splicing_vector_resize(res, edges);
for (i=0; i<edges; i++) {
long int elem=VECTOR(*v)[i];
VECTOR(ptr)[i] = VECTOR(rad)[elem];
VECTOR(rad)[elem] = i+1;
}
for (i=0; i<nodes; i++) {
long int p=VECTOR(rad)[i];
while (p != 0) {
VECTOR(*res)[p-1]=c++;
p=VECTOR(ptr)[p-1];
}
}
splicing_vector_destroy(&ptr);
splicing_vector_destroy(&rad);
SPLICING_FINALLY_CLEAN(2);
return 0;
}
int splicing_reassign_samples(const splicing_matrix_t *matches,
const splicing_vector_int_t *match_order,
const splicing_vector_t *psi,
int noiso, splicing_vector_int_t *result) {
int noreads = splicing_matrix_ncol(matches);
int i, w;
double *prev, *curr;
double rand, sumpsi;
int noValid;
int *order=VECTOR(*match_order);
splicing_vector_t cumsum;
splicing_vector_int_t validIso;
SPLICING_CHECK(splicing_vector_init(&cumsum, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &cumsum);
SPLICING_CHECK(splicing_vector_int_init(&validIso, noiso));
SPLICING_FINALLY(splicing_vector_int_destroy, &validIso);
SPLICING_CHECK(splicing_vector_int_resize(result, noreads));
if (noreads == 0) { return 0; }
prev = curr = &MATRIX(*matches, 0, order[0]);
CUMSUM();
for (i=0; i<noreads; i++) {
curr = &MATRIX(*matches, 0, order[i]);
/* Maybe we need to update the cumulative sum */
if (memcmp(prev, curr, sizeof(double)*noiso) != 0) { CUMSUM(); }
if (noValid == 0) {
VECTOR(*result)[order[i]] = -1;
} else if (noValid == 1) {
VECTOR(*result)[order[i]] = VECTOR(validIso)[0];
} else if (noValid == 2) {
rand = RNG_UNIF01() * sumpsi;
w = (rand < VECTOR(cumsum)[0]) ? VECTOR(validIso)[0] :
VECTOR(validIso)[1];
VECTOR(*result)[order[i]] = w;
} else {
/* Draw */
rand = RNG_UNIF01() * sumpsi;
/* TODO: Binary search for interval, if many classes */
for (w=0; rand > VECTOR(cumsum)[w]; w++) ;
VECTOR(*result)[order[i]] = VECTOR(validIso)[w];
}
prev=curr;
}
splicing_vector_int_destroy(&validIso);
splicing_vector_destroy(&cumsum);
SPLICING_FINALLY_CLEAN(2);
return 0;
}
int splicing_vector_order1(const splicing_vector_t* v,
splicing_vector_t* res, double nodes) {
long int edges=splicing_vector_size(v);
splicing_vector_t ptr;
splicing_vector_t rad;
long int i, j;
assert(v!=NULL);
assert(v->stor_begin != NULL);
SPLICING_VECTOR_INIT_FINALLY(&ptr, nodes+1);
SPLICING_VECTOR_INIT_FINALLY(&rad, edges);
splicing_vector_resize(res, edges);
for (i=0; i<edges; i++) {
long int radix=v->stor_begin[i];
if (VECTOR(ptr)[radix]!=0) {
VECTOR(rad)[i]=VECTOR(ptr)[radix];
}
VECTOR(ptr)[radix]=i+1;
}
j=0;
for (i=0; i<nodes+1; i++) {
if (VECTOR(ptr)[i] != 0) {
long int next=VECTOR(ptr)[i]-1;
res->stor_begin[j++]=next;
while (VECTOR(rad)[next] != 0) {
next=VECTOR(rad)[next]-1;
res->stor_begin[j++]=next;
}
}
}
splicing_vector_destroy(&ptr);
splicing_vector_destroy(&rad);
SPLICING_FINALLY_CLEAN(2);
return 0;
}
void splicing_gff_destroy(splicing_gff_t *gff) {
splicing_strvector_destroy(&gff->seqids);
splicing_strvector_destroy(&gff->sources);
splicing_strvector_destroy(&gff->ID);
splicing_vector_int_destroy(&gff->genes);
splicing_vector_int_destroy(&gff->transcripts);
splicing_vector_int_destroy(&gff->seqid);
splicing_vector_int_destroy(&gff->source);
splicing_vector_int_destroy(&gff->strand);
splicing_vector_int_destroy(&gff->type);
splicing_vector_int_destroy(&gff->start);
splicing_vector_int_destroy(&gff->end);
splicing_vector_destroy(&gff->score);
splicing_vector_int_destroy(&gff->phase);
splicing_vector_int_destroy(&gff->parent);
}
static PyObject* pysplicing_simulate_paired_reads(PyObject *self,
PyObject *args) {
PyObject *gff, *expression;
int gene, noreads, readlength;
double normalMean, normalVar, numDevs;
splicing_gff_t *mygff;
splicing_vector_t myexpression;
splicing_vector_int_t isoform, position;
splicing_strvector_t cigar;
PyObject *r1, *r2, *r3;
if (!PyArg_ParseTuple(args, "OiOiiddd", &gff, &gene, &expression,
&noreads, &readlength, &normalMean, &normalVar,
&numDevs)) { return NULL; }
mygff=PyCObject_AsVoidPtr(gff);
if (pysplicing_to_vector(expression, &myexpression)) { return NULL; }
SPLICING_FINALLY(splicing_vector_destroy, &myexpression);
SPLICING_PYCHECK(splicing_vector_int_init(&isoform, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &isoform);
SPLICING_PYCHECK(splicing_vector_int_init(&position, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &position);
SPLICING_PYCHECK(splicing_strvector_init(&cigar, 0));
SPLICING_FINALLY(splicing_strvector_destroy, &cigar);
SPLICING_PYCHECK(splicing_simulate_paired_reads(mygff, gene, &myexpression,
noreads, readlength,
/*insertProb=*/ 0,
/*insertStart=*/ 0,
normalMean, normalVar,
numDevs, &isoform,
&position, &cigar, 0));
r1=pysplicing_from_vector_int(&isoform);
r2=pysplicing_from_vector_int(&position);
r3=pysplicing_from_strvector(&cigar);
splicing_strvector_destroy(&cigar);
splicing_vector_int_destroy(&position);
splicing_vector_int_destroy(&isoform);
splicing_vector_destroy(&myexpression);
SPLICING_FINALLY_CLEAN(4);
return Py_BuildValue("OOO", r1, r2, r3);
}
static PyObject* pysplicing_solve_gene(PyObject *self, PyObject *args) {
PyObject *gff, *readcigar, *position;
int gene, readLength;
splicing_gff_t *mygff;
splicing_vector_int_t myposition;
splicing_strvector_t myreadcigar;
splicing_matrix_t match_matrix, assignment_matrix;
splicing_vector_t expression;
PyObject *r1, *r2, *r3;
if (!PyArg_ParseTuple(args, "OiiOO", &gff, &gene, &readLength, &position,
&readcigar)) { return NULL; }
mygff=PyCObject_AsVoidPtr(gff);
if (pysplicing_to_vector_int(position, &myposition)) { return NULL; }
SPLICING_FINALLY(splicing_vector_int_destroy, &myposition);
if (pysplicing_to_strvector(readcigar, &myreadcigar)) { return NULL; }
SPLICING_FINALLY(splicing_strvector_destroy, &myreadcigar);
SPLICING_PYCHECK(splicing_matrix_init(&match_matrix, 0, 0));
SPLICING_FINALLY(splicing_matrix_destroy, &match_matrix);
SPLICING_PYCHECK(splicing_matrix_init(&assignment_matrix, 0, 0));
SPLICING_FINALLY(splicing_matrix_destroy, &assignment_matrix);
SPLICING_PYCHECK(splicing_vector_init(&expression, 0));
SPLICING_FINALLY(splicing_vector_destroy, &expression);
SPLICING_PYCHECK(splicing_solve_gene(mygff, gene, readLength, &myposition,
(const char **) myreadcigar.table,
&match_matrix, &assignment_matrix,
&expression));
r1=pysplicing_from_matrix(&match_matrix);
r2=pysplicing_from_matrix(&assignment_matrix);
r3=pysplicing_from_vector(&expression);
splicing_vector_destroy(&expression);
splicing_matrix_destroy(&assignment_matrix);
splicing_matrix_destroy(&match_matrix);
splicing_strvector_destroy(&myreadcigar);
splicing_vector_int_destroy(&myposition);
SPLICING_FINALLY_CLEAN(5);
return Py_BuildValue("OOO", r1, r2, r3);
}
static PyObject* pysplicing_simulate_reads(PyObject *self, PyObject *args) {
PyObject *gff, *expression;
int gene, noreads, readLength;
splicing_vector_t myexpression;
splicing_gff_t *mygff;
splicing_vector_int_t isoform, position;
splicing_strvector_t cigar;
PyObject *risoform, *rposition, *rcigar;
if (!PyArg_ParseTuple(args, "OiOii", &gff, &gene, &expression, &noreads,
&readLength)) { return NULL; }
mygff=PyCObject_AsVoidPtr(gff);
if (pysplicing_to_vector(expression, &myexpression)) { return NULL; }
SPLICING_FINALLY(splicing_vector_destroy, &myexpression);
SPLICING_PYCHECK(splicing_strvector_init(&cigar, 0));
SPLICING_FINALLY(splicing_strvector_destroy, &cigar);
SPLICING_PYCHECK(splicing_vector_int_init(&position, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &position);
SPLICING_PYCHECK(splicing_vector_int_init(&isoform, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &isoform);
SPLICING_PYCHECK(splicing_simulate_reads(mygff, gene, &myexpression,
noreads, readLength,
&isoform, &position, &cigar));
risoform = pysplicing_from_vector_int(&isoform);
splicing_vector_int_destroy(&isoform);
SPLICING_FINALLY_CLEAN(1);
rposition = pysplicing_from_vector_int(&position);
splicing_vector_int_destroy(&position);
SPLICING_FINALLY_CLEAN(1);
rcigar = pysplicing_from_strvector(&cigar);
splicing_strvector_destroy(&cigar);
SPLICING_FINALLY_CLEAN(1);
splicing_vector_destroy(&myexpression);
SPLICING_FINALLY_CLEAN(1);
return Py_BuildValue("OOO", risoform, rposition, rcigar);
}
int splicing_score_iso(const splicing_vector_t *psi, int noiso,
const splicing_vector_int_t *assignment, int noreads,
const splicing_vector_int_t *peffisolen, double *res) {
int *effisolen = VECTOR(*peffisolen);
double sum, maxpsieff, score;
splicing_vector_t logpsi;
int i;
SPLICING_CHECK(splicing_vector_init(&logpsi, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &logpsi);
/* Calculate the normalization factor */
VECTOR(logpsi)[0] = log(VECTOR(*psi)[0]) + log(effisolen[0]);
for (maxpsieff=VECTOR(logpsi)[0], i=1; i<noiso; i++) {
VECTOR(logpsi)[i] = log(VECTOR(*psi)[i]) + log(effisolen[i]);
if (VECTOR(logpsi)[i] > maxpsieff) { maxpsieff = VECTOR(logpsi)[i]; }
}
for (sum=0.0, i=0; i<noiso; i++) {
sum += exp(VECTOR(logpsi)[i]-maxpsieff);
}
sum = log(sum) + maxpsieff;
/* Normalize */
for (i=0; i<noiso; i++) {
VECTOR(logpsi)[i] -= sum;
}
/* Calculate score, based on assignments */
for (score=0.0, i=0; i<noreads; i++) {
if (VECTOR(*assignment)[i] != -1) {
score += VECTOR(logpsi)[ VECTOR(*assignment)[i] ];
}
}
splicing_vector_destroy(&logpsi);
SPLICING_FINALLY_CLEAN(1);
*res = score;
return 0;
}
int splicing_miso_trinity(const splicing_matrix_t *match_matrix,
const splicing_vector_int_t *isolen,
int readLength, int noIterations, int noBurnIn,
int noLag, const splicing_vector_t *hyperp,
splicing_matrix_t *samples,
splicing_vector_t *logLik,
splicing_matrix_t *class_templates,
splicing_vector_t *class_counts,
splicing_vector_int_t *assignment,
splicing_miso_rundata_t *rundata) {
double acceptP, cJS, pJS, sigma;
int noiso = splicing_matrix_nrow(match_matrix);
int noReads = splicing_matrix_ncol(match_matrix);
splicing_vector_int_t *myass=assignment, vass;
splicing_vector_t vpsi, vpsiNew, valpha, valphaNew,
*psi=&vpsi, *psiNew=&vpsiNew, *alpha=&valpha, *alphaNew=&valphaNew;
int noSamples = (noIterations - noBurnIn + 1) / noLag;
int i, m, lagCounter=0, noS=0;
splicing_vector_int_t match_order;
splicing_vector_int_t effisolen;
splicing_vector_t isoscores;
if ( (class_templates ? 1 : 0) + (class_counts ? 1 : 0) == 1) {
SPLICING_ERROR("Only one of `class_templates' and `class_counts' is "
"given", SPLICING_EINVAL);
}
rundata->noIso=noiso;
rundata->noIters=noIterations;
rundata->noBurnIn=noBurnIn;
rundata->noLag=noLag;
rundata->noAccepted = rundata->noRejected = 0;
if (assignment) {
SPLICING_CHECK(splicing_vector_int_resize(myass, noReads));
splicing_vector_int_null(myass);
} else {
myass=&vass;
SPLICING_CHECK(splicing_vector_int_init(myass, noReads));
SPLICING_FINALLY(splicing_vector_int_destroy, myass);
}
SPLICING_CHECK(splicing_vector_init(&vpsi, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &vpsi);
SPLICING_CHECK(splicing_vector_init(&vpsiNew, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &vpsiNew);
SPLICING_CHECK(splicing_vector_init(&valpha, noiso-1));
SPLICING_FINALLY(splicing_vector_destroy, &valpha);
SPLICING_CHECK(splicing_vector_init(&valphaNew, noiso-1));
SPLICING_FINALLY(splicing_vector_destroy, &valphaNew);
SPLICING_CHECK(splicing_vector_int_init(&match_order, noReads));
SPLICING_FINALLY(splicing_vector_int_destroy, &match_order);
SPLICING_CHECK(splicing_order_matches(match_matrix, &match_order));
if (class_templates && class_counts) {
SPLICING_CHECK(splicing_i_miso_classes(match_matrix, &match_order,
class_templates, class_counts,
/*bin_class_templates=*/ 0,
/*bin_class_counts=*/ 0));
}
SPLICING_CHECK(splicing_vector_int_init(&effisolen, noiso));
SPLICING_FINALLY(splicing_vector_int_destroy, &effisolen);
SPLICING_CHECK(splicing_vector_init(&isoscores, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &isoscores);
for (i=0; i<noiso; i++) {
int l=VECTOR(*isolen)[i]-readLength+1;
VECTOR(effisolen)[i] = l > 0 ? l : 0;
VECTOR(isoscores)[i] = -log((double) l);
}
SPLICING_CHECK(splicing_matrix_resize(samples, noiso, noSamples));
SPLICING_CHECK(splicing_vector_resize(logLik, noSamples));
/* Initialize Psi(0) randomly */
SPLICING_CHECK(splicing_drift_proposal(/* mode= */ 0, 0, 0, 0, 0, 0,
noiso, psi, alpha, &sigma, 0));
SPLICING_CHECK(splicing_drift_proposal(/* mode= */ 1, psi, alpha, sigma,
0, 0, noiso, psi, alpha, 0, 0));
/* Initialize assignments of reads */
SPLICING_CHECK(splicing_reassign_samples(match_matrix, &match_order, psi,
noiso, myass));
/* foreach Iteration m=1, ..., M do */
for (m=0; m < noIterations; m++) {
SPLICING_CHECK(splicing_drift_proposal(/* mode= */ 1, psi, alpha, sigma,
0, 0, noiso, psiNew, alphaNew, 0,
0));
SPLICING_CHECK(splicing_metropolis_hastings_ratio(myass, noReads, psiNew,
alphaNew, psi, alpha,
sigma, noiso,
&effisolen, hyperp,
&isoscores,
m > 0 ? 1 : 0,
&acceptP, &cJS, &pJS));
if (acceptP >= 1 || RNG_UNIF01() < acceptP) {
splicing_vector_t *tmp;
tmp=psi; psi=psiNew; psiNew=tmp;
tmp=alpha; alpha=alphaNew; alphaNew=tmp;
cJS = pJS;
rundata->noAccepted ++;
} else {
rundata->noRejected ++;
}
if (m >= noBurnIn) {
if (lagCounter == noLag - 1) {
memcpy(&MATRIX(*samples, 0, noS), VECTOR(*psi),
noiso * sizeof(double));
VECTOR(*logLik)[noS] = cJS;
noS++;
lagCounter = 0;
} else {
lagCounter ++;
}
}
SPLICING_CHECK(splicing_reassign_samples(match_matrix, &match_order,
psi, noiso, myass));
} /* for m < noIterations */
splicing_vector_destroy(&isoscores);
splicing_vector_int_destroy(&effisolen);
splicing_vector_int_destroy(&match_order);
splicing_vector_destroy(&valphaNew);
splicing_vector_destroy(&valpha);
splicing_vector_destroy(&vpsiNew);
splicing_vector_destroy(&vpsi);
SPLICING_FINALLY_CLEAN(7);
if (!assignment) {
splicing_vector_int_destroy(myass);
SPLICING_FINALLY_CLEAN(1);
}
return 0;
}
static PyObject* pysplicing_miso(PyObject *self, PyObject *args) {
PyObject *gff, *readpos, *readcigar, *hyperp=0;
int gene, readLength, noIterations=5000, noBurnIn=500, noLag=10;
splicing_gff_t *mygff;
splicing_strvector_t myreadcigar;
splicing_vector_int_t myreadpos;
splicing_vector_t myhyperp;
splicing_matrix_t samples;
splicing_vector_t logLik;
splicing_matrix_t class_templates;
splicing_vector_t class_counts;
splicing_vector_int_t assignment;
splicing_miso_rundata_t rundata;
PyObject *r1, *r2, *r3, *r4, *r5, *r6;
if (!PyArg_ParseTuple(args, "OiOOi|iiiO", &gff, &gene, &readpos, &readcigar,
&readLength, &noIterations, &noBurnIn, &noLag,
&hyperp)) { return NULL; }
mygff=PyCObject_AsVoidPtr(gff);
SPLICING_PYCHECK(splicing_matrix_init(&samples, 0, 0));
SPLICING_FINALLY(splicing_matrix_destroy, &samples);
SPLICING_PYCHECK(splicing_vector_init(&logLik, 0));
SPLICING_FINALLY(splicing_vector_destroy, &logLik);
SPLICING_PYCHECK(splicing_matrix_init(&class_templates, 0, 0));
SPLICING_FINALLY(splicing_matrix_destroy, &class_templates);
SPLICING_PYCHECK(splicing_vector_init(&class_counts, 0));
SPLICING_FINALLY(splicing_vector_destroy, &class_counts);
SPLICING_PYCHECK(splicing_vector_int_init(&assignment, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &assignment);
if (pysplicing_to_vector_int(readpos, &myreadpos)) { return NULL; }
SPLICING_FINALLY(splicing_vector_int_destroy, &myreadpos);
if (hyperp) {
if (pysplicing_to_vector(hyperp, &myhyperp)) { return NULL; }
SPLICING_FINALLY(splicing_vector_destroy, &myhyperp);
} else {
size_t i, noiso;
SPLICING_PYCHECK(splicing_gff_noiso_one(mygff, gene, &noiso));
SPLICING_PYCHECK(splicing_vector_init(&myhyperp, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &myhyperp);
for (i=0; i<noiso; i++) { VECTOR(myhyperp)[i] = 1.0; }
}
if (pysplicing_to_strvector(readcigar, &myreadcigar)) { return NULL; };
SPLICING_FINALLY(splicing_strvector_destroy, &myreadcigar);
SPLICING_PYCHECK(splicing_miso(mygff, gene, &myreadpos,
(const char**) myreadcigar.table,
readLength, noIterations, noBurnIn, noLag,
&myhyperp, &samples, &logLik,
/*match_matrix=*/ 0, &class_templates,
&class_counts, &assignment, &rundata));
splicing_vector_destroy(&myhyperp);
splicing_vector_int_destroy(&myreadpos);
splicing_strvector_destroy(&myreadcigar);
SPLICING_FINALLY_CLEAN(3);
r6=pysplicing_from_miso_rundata(&rundata);
r5=pysplicing_from_vector_int(&assignment);
splicing_vector_int_destroy(&assignment); SPLICING_FINALLY_CLEAN(1);
r4=pysplicing_from_vector(&class_counts);
splicing_vector_destroy(&class_counts); SPLICING_FINALLY_CLEAN(1);
splicing_matrix_transpose(&class_templates);
r3=pysplicing_from_matrix(&class_templates);
splicing_matrix_destroy(&class_templates); SPLICING_FINALLY_CLEAN(1);
r2=pysplicing_from_vector(&logLik);
splicing_vector_destroy(&logLik); SPLICING_FINALLY_CLEAN(1);
r1=pysplicing_from_matrix(&samples);
splicing_matrix_destroy(&samples); SPLICING_FINALLY_CLEAN(1);
return Py_BuildValue("OOOOOO", r1, r2, r3, r4, r5, r6);
}
int splicing_gene_complexity(const splicing_gff_t *gff, size_t gene,
int readLength, splicing_complexity_t type,
splicing_norm_t norm, int paired,
const splicing_vector_t *fragmentProb,
int fragmentStart, double normalMean,
double normalVar, double numDevs,
double *complexity) {
splicing_matrix_t assignment_matrix;
SPLICING_CHECK(splicing_matrix_init(&assignment_matrix, 0, 0));
SPLICING_FINALLY(splicing_matrix_destroy, &assignment_matrix);
if (!paired) {
SPLICING_CHECK(splicing_assignment_matrix(gff, gene, readLength,
&assignment_matrix));
} else {
SPLICING_CHECK(splicing_paired_assignment_matrix(gff, gene, readLength,
fragmentProb,
fragmentStart,
normalMean, normalVar,
numDevs,
&assignment_matrix));
}
switch (type) {
case SPLICING_COMPLEXITY_RELATIVE:
switch (norm) {
splicing_vector_t values;
int i, n;
case SPLICING_NORM_2:
SPLICING_CHECK(splicing_vector_init(&values, 0));
SPLICING_FINALLY(splicing_vector_destroy, &values);
SPLICING_CHECK(splicing_dgesdd(&assignment_matrix, &values));
n=splicing_vector_size(&values);
for (i=n-1; i>=0 && VECTOR(values)[i] < 1e-14; i--) ;
*complexity = VECTOR(values)[0] / VECTOR(values)[i];
splicing_vector_destroy(&values);
SPLICING_FINALLY_CLEAN(1);
break;
case SPLICING_NORM_1:
SPLICING_ERROR("One norm not implemented", SPLICING_UNIMPLEMENTED);
break;
case SPLICING_NORM_INFINITY:
SPLICING_ERROR("Infinity norm not implemented", SPLICING_UNIMPLEMENTED);
break;
}
break;
case SPLICING_COMPLEXITY_ABSOLUTE:
SPLICING_ERROR("Absolute complexity not implemented",
SPLICING_UNIMPLEMENTED);
break;
}
splicing_matrix_destroy(&assignment_matrix);
SPLICING_FINALLY_CLEAN(1);
return 0;
}
int splicing_simulate_reads(const splicing_gff_t *gff, int gene,
const splicing_vector_t *expression,
int noreads, int readLength,
splicing_vector_int_t *isoform,
splicing_vector_int_t *position,
splicing_strvector_t *cigar,
splicing_vector_t *sample_prob) {
size_t i, p, noiso, goodiso=0, nogenes;
splicing_vector_int_t effisolen;
splicing_vector_t sampleprob;
double rand, sumpsi=0.0;
splicing_vector_int_t exstart, exend, exidx;
SPLICING_CHECK(splicing_gff_nogenes(gff, &nogenes));
if (gene < 0 || gene >= nogenes) {
SPLICING_ERROR("Invalid gene id", SPLICING_EINVAL);
}
/* TODO: more error checks */
SPLICING_CHECK(splicing_gff_noiso_one(gff, gene, &noiso));
SPLICING_CHECK(splicing_vector_int_init(&effisolen, noiso));
SPLICING_FINALLY(splicing_vector_int_destroy, &effisolen);
SPLICING_CHECK(splicing_vector_init(&sampleprob, noiso));
SPLICING_FINALLY(splicing_vector_destroy, &sampleprob);
SPLICING_CHECK(splicing_vector_int_resize(isoform, noreads));
SPLICING_CHECK(splicing_gff_isolength_one(gff, gene, &effisolen));
for (i=0; i<noiso; i++) {
int l=VECTOR(effisolen)[i]-readLength+1;
VECTOR(effisolen)[i] = l > 0 ? l : 0;
VECTOR(sampleprob)[i] = VECTOR(*expression)[i] * VECTOR(effisolen)[i];
if (VECTOR(sampleprob)[i] != 0) { goodiso++; }
sumpsi += VECTOR(sampleprob)[i];
}
if (goodiso==0) {
SPLICING_ERROR("No isoform is possible", SPLICING_FAILURE);
}
if (sample_prob) {
SPLICING_CHECK(splicing_vector_update(sample_prob, &sampleprob));
}
for (i=1; i<noiso; i++) {
VECTOR(sampleprob)[i] += VECTOR(sampleprob)[i-1];
}
for (i=0; i<noreads; i++) {
int w;
if (noiso==1) {
w=0;
} else if (noiso==2) {
rand = RNG_UNIF01() * sumpsi;
w = (rand < VECTOR(sampleprob)[0]) ? 0 : 1;
} else {
rand = RNG_UNIF01() * sumpsi;
for (w=0; rand > VECTOR(sampleprob)[w]; w++) ;
}
VECTOR(*isoform)[i]=w;
}
splicing_vector_destroy(&sampleprob);
SPLICING_FINALLY_CLEAN(1);
/* OK, we have the isoforms, now we need the read positions,
these are uniformly sampled from the individual isoforms. */
SPLICING_CHECK(splicing_vector_int_resize(position, noreads));
SPLICING_CHECK(splicing_vector_int_init(&exstart, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exstart);
SPLICING_CHECK(splicing_vector_int_init(&exend, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exend);
SPLICING_CHECK(splicing_vector_int_init(&exidx, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exidx);
SPLICING_CHECK(splicing_gff_exon_start_end(gff, &exstart, &exend, &exidx,
gene));
/* Positions in isoform coordinates first */
for (i=0; i<noreads; i++) {
int iso=VECTOR(*isoform)[i];
int len=VECTOR(effisolen)[iso];
VECTOR(*position)[i]=RNG_INTEGER(1, len);
}
/* Translate isoform coordinates to genomic coordintes */
/* TODO: some of this is already calculated */
SPLICING_CHECK(splicing_iso_to_genomic(gff, gene, isoform, /*converter=*/ 0,
position));
/* CIGAR strings */
splicing_strvector_clear(cigar);
SPLICING_CHECK(splicing_strvector_reserve(cigar, noreads));
for (i=0; i<noreads; i++) {
char tmp[1000], *tmp2=tmp;
int iso=VECTOR(*isoform)[i];
size_t rs=VECTOR(*position)[i];
int ex=0;
int rl=readLength;
for (ex=VECTOR(exidx)[iso]; VECTOR(exend)[ex] < rs; ex++) ;
while (VECTOR(exend)[ex] < rs+rl-1) {
tmp2 += snprintf(tmp2, sizeof(tmp)/sizeof(char)-(tmp2-tmp)-1, "%iM%iN",
(int) (VECTOR(exend)[ex]-rs+1),
(int) (VECTOR(exstart)[ex+1]-VECTOR(exend)[ex]-1));
if (tmp2 >= tmp + sizeof(tmp)/sizeof(char)) {
SPLICING_ERROR("CIGAR string too long", SPLICING_EINVAL);
}
rl -= (VECTOR(exend)[ex] - rs + 1);
rs = VECTOR(exstart)[ex+1];
ex++;
}
tmp2 += snprintf(tmp2, sizeof(tmp)/sizeof(char)-(tmp2-tmp)-1, "%iM", rl);
if (tmp2 >= tmp + sizeof(tmp)/sizeof(char)) {
SPLICING_ERROR("CIGAR string too long", SPLICING_EINVAL); }
SPLICING_CHECK(splicing_strvector_append(cigar, tmp));
}
splicing_vector_int_destroy(&exidx);
splicing_vector_int_destroy(&exend);
splicing_vector_int_destroy(&exstart);
splicing_vector_int_destroy(&effisolen);
SPLICING_FINALLY_CLEAN(4);
return 0;
}
int splicing_simulate_paired_reads(const splicing_gff_t *gff, int gene,
const splicing_vector_t *expression,
int noreads, int readLength,
const splicing_vector_t *fragmentProb,
int fragmentStart, double normalMean,
double normalVar, double numDevs,
splicing_vector_int_t *isoform,
splicing_vector_int_t *position,
splicing_strvector_t *cigar,
splicing_vector_t *sampleprob) {
size_t i, j, noiso, il, nogenes;
splicing_vector_t *mysampleprob=sampleprob, vsampleprob;
splicing_vector_t px, cpx;
double sumpx, sumpsi=0.0;
splicing_vector_int_t isolen;
int goodiso=0;
splicing_vector_int_t exstart, exend, exidx;
splicing_vector_t *myfragmentProb=(splicing_vector_t*) fragmentProb,
vfragmentProb;
int fs, fl;
SPLICING_CHECK(splicing_gff_nogenes(gff, &nogenes));
if (gene < 0 || gene >= nogenes) {
SPLICING_ERROR("Invalid gene id", SPLICING_EINVAL);
}
/* TODO: more error checks */
if (!fragmentProb) {
myfragmentProb=&vfragmentProb;
SPLICING_CHECK(splicing_vector_init(&vfragmentProb, 0));
SPLICING_FINALLY(splicing_vector_destroy, &vfragmentProb);
SPLICING_CHECK(splicing_normal_fragment(normalMean, normalVar, numDevs,
readLength, myfragmentProb,
&fragmentStart));
splicing_vector_scale(myfragmentProb,
1.0/splicing_vector_sum(myfragmentProb));
}
il=splicing_vector_size(myfragmentProb);
fs=fragmentStart;
fl=fragmentStart+il-1;
SPLICING_CHECK(splicing_gff_noiso_one(gff, gene, &noiso));
if ( fabs(splicing_vector_sum(myfragmentProb) - 1.0) > 1e-10 ) {
SPLICING_ERROR("Fragment length distribution does not sum up to 1",
SPLICING_EINVAL);
}
SPLICING_CHECK(splicing_vector_int_init(&isolen, noiso));
SPLICING_FINALLY(splicing_vector_int_destroy, &isolen);
SPLICING_CHECK(splicing_gff_isolength_one(gff, gene, &isolen));
SPLICING_CHECK(splicing_vector_copy(&px, myfragmentProb));
SPLICING_FINALLY(splicing_vector_destroy, &px);
SPLICING_CHECK(splicing_vector_init(&cpx, il));
SPLICING_FINALLY(splicing_vector_destroy, &cpx);
if (!sampleprob) {
mysampleprob=&vsampleprob;
SPLICING_CHECK(splicing_vector_init(mysampleprob, noiso));
SPLICING_FINALLY(splicing_vector_destroy, mysampleprob);
} else {
SPLICING_CHECK(splicing_vector_resize(mysampleprob, noiso));
}
for (sumpx=VECTOR(px)[0], i=1; i<il; i++) {
VECTOR(px)[i] += VECTOR(px)[i-1];
sumpx += VECTOR(px)[i];
}
VECTOR(cpx)[0] = VECTOR(px)[0];
for (i=1; i<il; i++) {
VECTOR(cpx)[i] = VECTOR(cpx)[i-1] + VECTOR(px)[i];
}
for (i=0; i<noiso; i++) {
int ilen=VECTOR(isolen)[i];
int r1= ilen >= fl ? ilen - fl + 1 : 0;
int r2= ilen >= fs ? (ilen >= fl ? fl - fs : ilen - fs + 1) : 0;
/* int r3= fs - 1; */
double sp=0.0;
if (r1 > 0) { sp += r1; }
if (r2 > 0) { sp += VECTOR(cpx)[r2-1]; }
VECTOR(*mysampleprob)[i] = sp * VECTOR(*expression)[i];
if (VECTOR(*mysampleprob)[i] != 0) { goodiso += 1; }
sumpsi += VECTOR(*mysampleprob)[i];
}
if (goodiso == 0) {
SPLICING_ERROR("No isoform is possible", SPLICING_FAILURE);
}
for (i=1; i<noiso; i++) {
VECTOR(*mysampleprob)[i] += VECTOR(*mysampleprob)[i-1];
}
SPLICING_CHECK(splicing_vector_int_resize(isoform, noreads*2));
for (i=0; i<2*noreads; i+=2) {
int w;
double rand;
if (noiso==1) {
w=0;
} else if (noiso==2) {
rand = RNG_UNIF01() * sumpsi;
w = (rand < VECTOR(*mysampleprob)[0]) ? 0 : 1;
} else {
rand = RNG_UNIF01() * sumpsi;
for (w=0; rand > VECTOR(*mysampleprob)[w]; w++) ;
}
VECTOR(*isoform)[i]=VECTOR(*isoform)[i+1]=w;
}
if (!sampleprob) {
splicing_vector_destroy(mysampleprob);
SPLICING_FINALLY_CLEAN(1);
} else {
for (i=noiso-1; i>0; i--) {
VECTOR(*mysampleprob)[i] -= VECTOR(*mysampleprob)[i-1];
}
}
/* We have the isoforms, now get the read positions. */
SPLICING_CHECK(splicing_vector_int_resize(position, noreads*2));
SPLICING_CHECK(splicing_vector_int_init(&exstart, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exstart);
SPLICING_CHECK(splicing_vector_int_init(&exend, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exend);
SPLICING_CHECK(splicing_vector_int_init(&exidx, 0));
SPLICING_FINALLY(splicing_vector_int_destroy, &exidx);
SPLICING_CHECK(splicing_gff_exon_start_end(gff, &exstart, &exend, &exidx,
gene));
/* Positions in isoform coordinates first.
These are sampled based on the fragment length distribution. */
for (i=0, j=0; i<noreads; i++) {
int iso=VECTOR(*isoform)[2*i];
int ilen=VECTOR(isolen)[iso];
int r1= ilen >= fl ? ilen - fl + 1 : 0;
int r2= ilen >= fs ? (ilen >= fl ? fl - fs : ilen - fs + 1) : 0;
/* int r3= fs - 1; */
int pos, fragment;
double sp=0.0;
if (r1 > 0) { sp += r1; }
if (r2 > 0) { sp += VECTOR(cpx)[r2-1]; }
double rand=RNG_UNIF(0, sp);
if (rand < r1) {
pos = ceil(rand);
} else {
int w;
rand -= r1;
for (w=0; VECTOR(cpx)[w] < rand; w++) ;
pos = r1 + r2 - w;
}
if (pos <= r1) {
rand=RNG_UNIF(0, 1.0);
} else {
rand=RNG_UNIF(0, VECTOR(px)[r1+r2-pos]);
}
for (fragment=0; VECTOR(px)[fragment] < rand; fragment++) ;
fragment += fragmentStart;
VECTOR(*position)[j++] = pos;
VECTOR(*position)[j++] = pos+fragment-readLength;
}
/* Translate positions to genomic coordinates */
/* TODO: some of this is already calculated */
SPLICING_CHECK(splicing_iso_to_genomic(gff, gene, isoform, /*converter=*/ 0,
position));
/* CIGAR strings */
splicing_strvector_clear(cigar);
SPLICING_CHECK(splicing_strvector_reserve(cigar, 2*noreads));
for (j=0; j<2*noreads; j++) {
char tmp[1000], *tmp2=tmp;
int iso=VECTOR(*isoform)[j];
size_t rs=VECTOR(*position)[j];
int ex=0;
int rl=readLength;
for (ex=VECTOR(exidx)[iso]; VECTOR(exend)[ex] < rs; ex++) ;
while (rs + rl - 1 > VECTOR(exend)[ex]) {
tmp2 += snprintf(tmp2, sizeof(tmp)/sizeof(char)-(tmp2-tmp)-1, "%iM%iN",
(int) (VECTOR(exend)[ex]-rs+1),
(int) (VECTOR(exstart)[ex+1]-VECTOR(exend)[ex]-1));
if (tmp2 >= tmp + sizeof(tmp)/sizeof(char)) {
SPLICING_ERROR("CIGAR string too long", SPLICING_EINVAL);
}
rl -= (VECTOR(exend)[ex] - rs + 1);
rs = VECTOR(exstart)[ex+1];
ex++;
}
tmp2 += snprintf(tmp2, sizeof(tmp)/sizeof(char)-(tmp2-tmp)-1, "%iM", rl);
if (tmp2 >= tmp + sizeof(tmp)/sizeof(char)) {
SPLICING_ERROR("CIGAR string too long", SPLICING_EINVAL);
}
SPLICING_CHECK(splicing_strvector_append(cigar, tmp));
}
splicing_vector_int_destroy(&exidx);
splicing_vector_int_destroy(&exend);
splicing_vector_int_destroy(&exstart);
splicing_vector_destroy(&cpx);
splicing_vector_destroy(&px);
splicing_vector_int_destroy(&isolen);
SPLICING_FINALLY_CLEAN(6);
if (!fragmentProb) {
splicing_vector_destroy(myfragmentProb);
SPLICING_FINALLY_CLEAN(1);
}
return 0;
}