#include "bam.h"
#include "bam_maqcns.h"
#include "ksort.h"
+#include "errmod.h"
#include "kaln.h"
KSORT_INIT_GENERIC(uint32_t)
typedef struct __bmc_aux_t {
int max;
uint32_t *info;
+ uint16_t *info16;
+ errmod_t *em;
} bmc_aux_t;
typedef struct {
float esum[4], fsum[4];
uint32_t c[4];
- uint32_t rms_mapQ;
} glf_call_aux_t;
char bam_nt16_nt4_table[] = { 4, 0, 1, 4, 2, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4 };
for (n1 = 0; n1 < 256; ++n1) {
for (n2 = 0; n2 < 256; ++n2) {
long double sum = 0.0;
- double lC = aa->is_soap? 0 : lgamma(n1+n2+1) - lgamma(n1+1) - lgamma(n2+1); // \binom{n1+n2}{n1}
+ double lC = aa->errmod == BAM_ERRMOD_SOAP? 0 : lgamma(n1+n2+1) - lgamma(n1+1) - lgamma(n2+1);
for (k = 1; k <= aa->n_hap - 1; ++k) {
double pk = 1.0 / k / sum_harmo;
double log1 = log((double)k/aa->n_hap);
long double sum_a[257], b[256], q_c[256], tmp[256], fk2[256];
double *lC;
+ if (aa->errmod == BAM_ERRMOD_MAQ2) return; // no need to do the following
// aa->lhet will be allocated and initialized
free(aa->fk); free(aa->coef);
aa->coef = 0;
aa->fk[n] = pow(aa->theta, n) * (1.0 - aa->eta) + aa->eta;
fk2[n] = aa->fk[n>>1]; // this is an approximation, assuming reads equally likely come from both strands
}
- if (aa->is_soap) return;
+ if (aa->errmod == BAM_ERRMOD_SOAP) return;
aa->coef = (double*)calloc(256*256*64, sizeof(double));
lC = (double*)calloc(256 * 256, sizeof(double));
for (n = 1; n != 256; ++n)
void bam_maqcns_prepare(bam_maqcns_t *bm)
{
+ if (bm->errmod == BAM_ERRMOD_MAQ2) bm->aux->em = errmod_init(1. - bm->theta);
cal_coef(bm); cal_het(bm);
}
void bam_maqcns_destroy(bam_maqcns_t *bm)
{
if (bm == 0) return;
- free(bm->lhet); free(bm->fk); free(bm->coef); free(bm->aux->info);
+ free(bm->lhet); free(bm->fk); free(bm->coef); free(bm->aux->info); free(bm->aux->info16);
+ if (bm->aux->em) errmod_destroy(bm->aux->em);
free(bm->aux); free(bm);
}
glf1_t *bam_maqcns_glfgen(int _n, const bam_pileup1_t *pl, uint8_t ref_base, bam_maqcns_t *bm)
{
- glf_call_aux_t *b;
+ glf_call_aux_t *b = 0;
int i, j, k, w[8], c, n;
glf1_t *g = (glf1_t*)calloc(1, sizeof(glf1_t));
float p[16], min_p = 1e30;
bm->aux->max = _n;
kroundup32(bm->aux->max);
bm->aux->info = (uint32_t*)realloc(bm->aux->info, 4 * bm->aux->max);
+ bm->aux->info16 = (uint16_t*)realloc(bm->aux->info16, 2 * bm->aux->max);
}
- for (i = n = 0; i < _n; ++i) {
+ for (i = n = 0, rms = 0; i < _n; ++i) {
const bam_pileup1_t *p = pl + i;
uint32_t q, x = 0, qq;
+ uint16_t y = 0;
if (p->is_del || (p->b->core.flag&BAM_FUNMAP)) continue;
q = (uint32_t)bam1_qual(p->b)[p->qpos];
x |= (uint32_t)bam1_strand(p->b) << 18 | q << 8 | p->b->core.qual;
+ y |= bam1_strand(p->b)<<4;
if (p->b->core.qual < q) q = p->b->core.qual;
+ c = p->b->core.qual < bm->cap_mapQ? p->b->core.qual : bm->cap_mapQ;
+ rms += c * c;
x |= q << 24;
+ y |= q << 5;
qq = bam1_seqi(bam1_seq(p->b), p->qpos);
q = bam_nt16_nt4_table[qq? qq : ref_base];
- if (!p->is_del && q < 4) x |= 1 << 21 | q << 16;
+ if (!p->is_del && q < 4) x |= 1 << 21 | q << 16, y |= q;
+ bm->aux->info16[n] = y;
bm->aux->info[n++] = x;
}
+ rms = (uint8_t)(sqrt((double)rms / n) + .499);
+ if (bm->errmod == BAM_ERRMOD_MAQ2) {
+ errmod_cal(bm->aux->em, n, 4, bm->aux->info16, p);
+ goto goto_glf;
+ }
ks_introsort(uint32_t, n, bm->aux->info);
// generate esum and fsum
b = (glf_call_aux_t*)calloc(1, sizeof(glf_call_aux_t));
for (k = 0; k != 8; ++k) w[k] = 0;
- rms = 0;
for (j = n - 1; j >= 0; --j) { // calculate esum and fsum
uint32_t info = bm->aux->info[j];
- int tmp;
if (info>>24 < 4 && (info>>8&0x3f) != 0) info = 4<<24 | (info&0xffffff);
k = info>>16&7;
if (info>>24 > 0) {
if (w[k] < 0xff) ++w[k];
++b->c[k&3];
}
- tmp = (int)(info&0xff) < bm->cap_mapQ? (int)(info&0xff) : bm->cap_mapQ;
- rms += tmp * tmp;
}
- b->rms_mapQ = (uint8_t)(sqrt((double)rms / n) + .499);
// rescale ->c[]
for (j = c = 0; j != 4; ++j) c += b->c[j];
if (c > 255) {
for (j = 0; j != 4; ++j) b->c[j] = (int)(254.0 * b->c[j] / c + 0.5);
for (j = c = 0; j != 4; ++j) c += b->c[j];
}
- if (!bm->is_soap) {
+ if (bm->errmod == BAM_ERRMOD_MAQ) {
// generate likelihood
for (j = 0; j != 4; ++j) {
// homozygous
if (max1 > max2 && (min_k != max_k || min1 + 1.0 > min2))
p[max_k<<2|max_k] = min1 > 1.0? min1 - 1.0 : 0.0;
}
- } else { // apply the SOAP model
+ } else if (bm->errmod == BAM_ERRMOD_SOAP) { // apply the SOAP model
// generate likelihood
for (j = 0; j != 4; ++j) {
float tmp;
}
}
+goto_glf:
// convert necessary information to glf1_t
- g->ref_base = ref_base; g->max_mapQ = b->rms_mapQ;
+ g->ref_base = ref_base; g->max_mapQ = rms;
g->depth = n > 16777215? 16777215 : n;
for (j = 0; j != 4; ++j)
for (k = j; k < 4; ++k)
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