static double
squid_xdistance(ESL_ALPHABET *a, ESL_DSQ *x1, ESL_DSQ *x2)
{
int diff = 0;
int valid = 0;
for (; *x1 != eslDSQ_SENTINEL; x1++, x2++)
{
if (esl_abc_XIsGap(a, *x1) || esl_abc_XIsGap(a, *x2)) continue;
if (*x1 != *x2) diff++;
valid++;
}
return (valid > 0 ? ((double) diff / (double) valid) : 0.0);
}
/* Function: p7_Fastmodelmaker()
*
* Purpose: Heuristic model construction.
* Construct an HMM from an alignment by a simple rule,
* based on the fractional occupancy of each columns w/
* residues vs gaps. Any column w/ a fractional
* occupancy of $\geq$ <symfrac> is assigned as a MATCH column;
* for instance, if thresh = 0.5, columns w/ $\geq$ 50\%
* residues are assigned to match... roughly speaking.
*
* "Roughly speaking" because sequences may be weighted
* in the input <msa>, and because missing data symbols are
* ignored, in order to deal with sequence fragments.
*
* The <msa> must be in digital mode.
*
* If the caller wants to designate any sequences as
* fragments, it does so by converting all N-terminal and
* C-terminal flanking gap symbols to missing data symbols.
*
* NOTE: p7_Fastmodelmaker() will slightly revise the
* alignment if the assignment of columns implies
* DI and ID transitions.
*
* Returns the HMM in counts form (ready for applying Dirichlet
* priors as the next step). Also returns fake traceback
* for each training sequence.
*
* Models must have at least one node, so if the <msa> defined
* no consensus columns, a <eslENORESULT> error is returned.
*
* Args: msa - multiple sequence alignment
* symfrac - threshold for residue occupancy; >= assigns MATCH
* bld - holds information on regions requiring masking, optionally NULL -> no masking
* ret_hmm - RETURN: counts-form HMM
* opt_tr - optRETURN: array of tracebacks for aseq's
*
* Return: <eslOK> on success. ret_hmm and opt_tr allocated here,
* and must be free'd by the caller (FreeTrace(tr[i]), free(tr),
* FreeHMM(hmm)).
*
* Returns <eslENORESULT> if no consensus columns were annotated;
* in this case, <ret_hmm> and <opt_tr> are returned NULL.
*
* Throws: <eslEMEM> on allocation failure; <eslEINVAL> if the
* <msa> isn't in digital mode.
*/
int
p7_Fastmodelmaker(ESL_MSA *msa, float symfrac, P7_BUILDER *bld, P7_HMM **ret_hmm, P7_TRACE ***opt_tr)
{
int status; /* return status flag */
int *matassign = NULL; /* MAT state assignments if 1; 1..alen */
int idx; /* counter over sequences */
int apos; /* counter for aligned columns */
float r; /* weighted residue count */
float totwgt; /* weighted residue+gap count */
if (! (msa->flags & eslMSA_DIGITAL)) ESL_XEXCEPTION(eslEINVAL, "need digital MSA");
/* Allocations: matassign is 1..alen array of bit flags.
*/
ESL_ALLOC(matassign, sizeof(int) * (msa->alen+1));
/* Determine weighted sym freq in each column, set matassign[] accordingly.
*/
for (apos = 1; apos <= msa->alen; apos++)
{
r = totwgt = 0.;
for (idx = 0; idx < msa->nseq; idx++)
{
if (esl_abc_XIsResidue(msa->abc, msa->ax[idx][apos])) { r += msa->wgt[idx]; totwgt += msa->wgt[idx]; }
else if (esl_abc_XIsGap(msa->abc, msa->ax[idx][apos])) { totwgt += msa->wgt[idx]; }
else if (esl_abc_XIsMissing(msa->abc, msa->ax[idx][apos])) continue;
}
if (r > 0. && r / totwgt >= symfrac) matassign[apos] = TRUE;
else matassign[apos] = FALSE;
}
/* Once we have matassign calculated, modelmakers behave
* the same; matassign2hmm() does this stuff (traceback construction,
* trace counting) and sets up ret_hmm and opt_tr.
*/
if ((status = matassign2hmm(msa, matassign, ret_hmm, opt_tr)) != eslOK) {
fprintf (stderr, "hmm construction error during trace counting\n");
goto ERROR;
}
free(matassign);
return eslOK;
ERROR:
if (matassign != NULL) free(matassign);
return status;
}
/* get_gaps_per_column
*
* Given an MSA, determine the number of gaps per
* column, and return a newly allocated array with this
* into in *ret_ngaps.
*/
static int get_gaps_per_column(ESL_MSA *msa, int **ret_ngaps)
{
int status;
int i, apos;
int *ngaps = NULL;
/* contract check */
if(! (msa->flags & eslMSA_DIGITAL)) { status = eslEINVAL; goto ERROR; }
ESL_ALLOC(ngaps, sizeof(int) * (msa->alen+1));
esl_vec_ISet(ngaps, msa->alen+1, 0);
for(i = 0; i < msa->nseq; i++) {
for(apos = 1; apos <= msa->alen; apos++)
ngaps[apos] += esl_abc_XIsGap(msa->abc, msa->ax[i][apos]);
}
*ret_ngaps = ngaps;
return eslOK;
ERROR:
if(ngaps != NULL) free(ngaps);
return status;
}
/* Function: p7_Alimask_MakeModel2AliMap()
* Synopsis: Compute map of coordinate in the alignment corresponding to each model position.
*
* Args: msa - The alignment for which the mapped model is to be computed. We assume
* the MSA has already been manipulated to account for model building
* flags (e.g. weighting).
* do_hand - TRUE when the model is to follow a hand-build RF line (which must be
* part of the file.
* symfraq - if weighted occupancy exceeds this value, include the column in the model.
* map - int array into which the map values will be stored. Calling function
* must allocate (msa->alen+1) ints.
*
* Returns: The number of mapped model positions.
*/
int
p7_Alimask_MakeModel2AliMap(ESL_MSA *msa, int do_hand, float symfrac, int *map )
{
int i = 0;
int apos, idx;
float r; /* weighted residue count */
float totwgt; /* weighted residue+gap count */
i = 0;
if ( do_hand ) {
if (msa->rf == NULL) p7_Fail("Model file does not contain an RF line, required for --hand.\n");
/* Watch for off-by-one. rf is [0..alen-1]*/
for (apos = 1; apos <= msa->alen; apos++) {
if (!esl_abc_CIsGap(msa->abc, msa->rf[apos-1]) ) {
map[i] = apos;
i++;
}
}
} else {
for (apos = 1; apos <= msa->alen; apos++)
{
r = totwgt = 0.;
for (idx = 0; idx < msa->nseq; idx++)
{
if (esl_abc_XIsResidue(msa->abc, msa->ax[idx][apos])) { r += msa->wgt[idx]; totwgt += msa->wgt[idx]; }
else if (esl_abc_XIsGap(msa->abc, msa->ax[idx][apos])) { totwgt += msa->wgt[idx]; }
else if (esl_abc_XIsMissing(msa->abc, msa->ax[idx][apos])) continue;
}
if (r > 0. && r / totwgt >= symfrac) {
map[i] = apos;
i++;
}
}
}
return i;
}
/* Function: rejustify_insertions_digital()
* Synopsis:
* Incept: SRE, Thu Oct 23 13:06:12 2008 [Janelia]
*
* Purpose:
*
* Args: msa - alignment to rejustify
* digital mode: ax[0..nseq-1][1..alen] and abc is valid
* text mode: aseq[0..nseq-1][0..alen-1]
* inserts - # of inserted columns following node k, for k=0.1..M
* inserts[0] is for N state; inserts[M] is for C state
* matmap - index of column associated with node k [k=0.1..M; matmap[0] = 0]
* this is an alignment column index 1..alen, same offset as <ax>
* if applied to text mode aseq or annotation, remember to -1
* if no residues use match state k, matmap[k] is the
* index of the last column used before node k's columns
* start: thus matmap[k]+1 is always the start of
* node k's insertion (if any).
* matuse - TRUE if an alignment column is associated with node k: [k=0.1..M; matuse[0] = 0].
* if matuse[k] == 0, every sequence deleted at node k,
* and we're collapsing the column rather than showing all
* gaps.
*
* Note: The insertion for node k is of length <inserts[k]> columns,
* and in 1..alen coords it runs from
* matmap[k]+1 .. matmap[k+1]-matuse[k+1].
*
*
* Returns:
*
* Throws: (no abnormal error conditions)
*
* Xref:
*/
static int
rejustify_insertions_digital(ESL_MSA *msa, const int *inserts, const int *matmap, const int *matuse, int M)
{
int idx;
int k;
int apos;
int nins;
int npos, opos;
for (idx = 0; idx < msa->nseq; idx++)
{
for (k = 0; k < M; k++)
if (inserts[k] > 1)
{
for (nins = 0, apos = matmap[k]+1; apos <= matmap[k+1]-matuse[k+1]; apos++)
if (esl_abc_XIsResidue(msa->abc, msa->ax[idx][apos])) nins++;
if (k == 0) nins = 0; /* N-terminus is right justified */
else nins /= 2; /* split in half; nins now = # of residues left left-justified */
opos = npos = matmap[k+1]-matuse[k+1];
while (opos >= matmap[k]+1+nins) {
if (esl_abc_XIsGap(msa->abc, msa->ax[idx][opos])) opos--;
else {
msa->ax[idx][npos] = msa->ax[idx][opos];
if (msa->pp != NULL && msa->pp[idx] != NULL) msa->pp[idx][npos-1] = msa->pp[idx][opos-1];
npos--;
opos--;
}
}
while (npos >= matmap[k]+1+nins) {
msa->ax[idx][npos] = esl_abc_XGetGap(msa->abc);
if (msa->pp != NULL && msa->pp[idx] != NULL) msa->pp[idx][npos-1] = '.';
npos--;
}
}
}
return eslOK;
}
/* Function: esl_msashuffle_XQRNA()
* Synopsis: Gap-preserving column shuffle of a digital pairwise alignment.
* Incept: SRE, Tue Jan 22 09:09:52 2008 [Market Street Cafe, Leesburg]
*
* Purpose: Shuffle a digital pairwise alignment <x>,<y> while
* preserving the position of gaps, where both sequences are
* in digital alphabet <abc>, using the random number
* generator <r>. Return the shuffled alignment in <xs>,
* <ys>. Caller provides allocated space for <xs> and <ys>
* for at least the same length of <x>,<y>.
*
* Works by doing three separate
* shuffles, of (1) columns with residues in both
* <x> and <y>, (2) columns with residue in <x> and gap in <y>,
* and (3) columns with gap in <x> and residue in <y>.
*
* <xs>,<x> and <ys>,<y> may be identical: that is, to shuffle
* an alignment "in place", destroying the original
* alignment, just call <esl_msashuffle_XQRNA(r, abc, x,y,x,y)>.
*
* Returns: <eslOK> on success, and the shuffled alignment is
* returned in <xs>, <ys>.
*
* Throws: <eslEMEM> on allocation failure.
*/
int
esl_msashuffle_XQRNA(ESL_RANDOMNESS *r, ESL_ALPHABET *abc, ESL_DSQ *x, ESL_DSQ *y, ESL_DSQ *xs, ESL_DSQ *ys)
{
int L;
int *xycol = NULL;
int *xcol = NULL;
int *ycol = NULL;
int nxy, nx, ny;
int i;
int pos, c;
char xsym, ysym;
int status;
L = esl_abc_dsqlen(x);
if (esl_abc_dsqlen(y) != L) ESL_XEXCEPTION(eslEINVAL, "sequences of different lengths in qrna shuffle");
if (xs != x) esl_abc_dsqcpy(x, L, xs);
if (ys != y) esl_abc_dsqcpy(y, L, ys);
/* First, construct three arrays containing lists of the column positions
* of the three types of columns. (If a column contains gaps in both x and y,
* we've already simply copied it to the shuffled sequence.)
*/
ESL_ALLOC(xycol, sizeof(int) * L);
ESL_ALLOC(xcol, sizeof(int) * L);
ESL_ALLOC(ycol, sizeof(int) * L);
nxy = nx = ny = 0;
for (i = 1; i <= L; i++)
{
if ( esl_abc_XIsGap(abc, x[i]) && esl_abc_XIsGap(abc, y[i])) { continue; }
else if (! esl_abc_XIsGap(abc, x[i]) && ! esl_abc_XIsGap(abc, y[i])) { xycol[nxy] = i; nxy++; }
else if ( esl_abc_XIsGap(abc, x[i])) { ycol[ny] = i; ny++; }
else if ( esl_abc_XIsGap(abc, y[i])) { xcol[nx] = i; nx++; }
}
/* Second, shuffle the sequences indirectly, via shuffling these arrays.
* Yow, careful with those indices, and with order of the statements...
*/
for (; nxy > 1; nxy--) {
pos = esl_rnd_Roll(r, nxy);
xsym = xs[xycol[pos]]; ysym = ys[xycol[pos]]; c = xycol[pos];
xs[xycol[pos]] = xs[xycol[nxy-1]]; ys[xycol[pos]] = ys[xycol[nxy-1]]; xycol[pos] = xycol[nxy-1];
xs[xycol[nxy-1]] = xsym; ys[xycol[nxy-1]] = ysym; xycol[pos] = xycol[nxy-1];
}
for (; nx > 1; nx--) {
pos = esl_rnd_Roll(r, nx);
xsym = xs[xcol[pos]]; ysym = ys[xcol[pos]]; c = xcol[pos];
xs[xcol[pos]] = xs[xcol[nx-1]]; ys[xcol[pos]] = ys[xcol[nx-1]]; xcol[pos] = xcol[nx-1];
xs[xcol[nx-1]] = xsym; ys[xcol[nx-1]] = ysym; xcol[nx-1] = c;
}
for (; ny > 1; ny--) {
pos = esl_rnd_Roll(r, ny);
xsym = xs[ycol[pos]]; ysym = ys[ycol[pos]]; c = ycol[pos];
xs[ycol[pos]] = xs[ycol[ny-1]]; ys[ycol[pos]] = ys[ycol[ny-1]]; ycol[pos] = ycol[ny-1];
xs[ycol[ny-1]] = xsym; ys[ycol[ny-1]] = ysym; ycol[ny-1] = c;
}
free(xycol); free(xcol); free(ycol);
return eslOK;
ERROR:
if (xycol != NULL) free(xycol);
if (xcol != NULL) free(xcol);
if (ycol != NULL) free(ycol);
return status;
}
/* Function: p7_null3_score()
*
* Purpose: Calculate a correction (in log_2 odds) to be applied
* to a sequence, using a null model based on the
* composition of the target sequence.
* The null model is constructed /post hoc/ as the
* distribution of the target sequence; if the target
* sequence is 40% A, 5% C, 5% G, 40% T, then the null
* model is (0.4, 0.05, 0.05, 0.4). This function is
* based heavily on Infernal's ScoreCorrectionNull3(),
* with two important changes:
* - it leaves the log2 conversion from NATS to BITS
* for the calling function.
* - it doesn't include the omega score modifier
* (based on prior probability of using the null3
* model), again leaving this to the calling function.
*
* Args: abc - alphabet for hit (only used to get alphabet size)
* dsq - the sequence the hit resides in
* tr - trace of the alignment, used to find the match states
* (non-match chars are ignored in computing freq, not used if NULL)
* start - start position of hit in dsq
* stop - end position of hit in dsq
* bg - background, used for the default null model's emission freq
* ret_sc - RETURN: the correction to the score (in NATS);
* caller subtracts this from hit score to get
* corrected score.
* Return: void, ret_sc: the log-odds score correction (in NATS).
*/
void
p7_null3_score(const ESL_ALPHABET *abc, const ESL_DSQ *dsq, P7_TRACE *tr, int start, int stop, P7_BG *bg, float *ret_sc)
{
float score = 0.;
int status;
int i;
float *freq;
int dir;
int tr_pos;
ESL_ALLOC(freq, sizeof(float) * abc->K);
esl_vec_FSet(freq, abc->K, 0.0);
/* contract check */
if(abc == NULL) esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "p7_null3_score() alphabet is NULL.%s\n", "");
if(dsq == NULL) esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "p7_null3_score() dsq alphabet is NULL.%s\n", "");
if(abc->type != eslRNA && abc->type != eslDNA) esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "p7_null3_score() expects alphabet of RNA or DNA.%s\n", "");
dir = start < stop ? 1 : -1;
if (tr != NULL) {
/* skip the parts of the trace that precede the first match state */
tr_pos = 2;
i = start;
while (tr->st[tr_pos] != p7T_M) {
if (tr->st[tr_pos] == p7T_N)
i += dir;
tr_pos++;
}
/* tally frequencies from characters hitting match state*/
while (tr->st[tr_pos] != p7T_E) {
if (tr->st[tr_pos] == p7T_M) {
if(esl_abc_XIsGap(abc, dsq[i])) esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "in p7_null3_score(), res %d is a gap!%s\n", "");
esl_abc_FCount(abc, freq, dsq[i], 1.);
}
if (tr->st[tr_pos] != p7T_D )
i += dir;
tr_pos++;
}
} else {
/* tally frequencies from the full envelope */
for (i=ESL_MIN(start,stop); i <= ESL_MAX(start,stop); i++)
{
if(esl_abc_XIsGap(abc, dsq[i])) esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "in p7_null3_score(), res %d is a gap!%s\n", "");
esl_abc_FCount(abc, freq, dsq[i], 1.);
}
}
esl_vec_FNorm(freq, abc->K);
/* now compute score modifier (nats) - note: even with tr!=NULL, this includes the unmatched characters*/
for (i = 0; i < abc->K; i++)
score += freq[i]==0 ? 0.0 : esl_logf( freq[i]/bg->f[i] ) * freq[i] * ( (stop-start)*dir +1) ;
/* Return the correction to the bit score. */
score = p7_FLogsum(0., score);
*ret_sc = score;
return;
ERROR:
esl_exception(eslEINVAL, FALSE, __FILE__, __LINE__, "p7_null3_score() memory allocation error.%s\n", "");
return; /* never reached */
}
/* map_msas
*
* Align msa1 and msa2.
* For each column in msa1, determine the corresponding column
* in msa2. This implementation requires:
* - msa1 and msa2 contain exactly the same sequences in the same order
* Note: the seqs in msa1 and msa2 do not have to have the same names.
*
* Uses a DP algorithm similar to Needleman-Wunsch, but that's aligning
* two alignment columns at a time instead of two residues.
*/
static int
map_msas(const ESL_GETOPTS *go, char *errbuf, ESL_MSA *msa1, ESL_MSA *msa2, int **ret_msa1_to_msa2_map)
{
int status;
int **one2two; /* [0..c..rflen1][0..a..alen2] number of residues from non-gap RF column c of msa1
* aligned in column a of msa 2 */
int *rf2a_map1 = NULL; /* msa1 map of reference columns (non-gap RF residues) to alignment columns, NULL if msa1->rf == NULL */
int *rf2a_map2 = NULL; /* msa2 map of reference columns (non-gap RF residues) to alignment columns, NULL if msa2->rf == NULL */
int *a2rf_map1 = NULL; /* msa1 map of alignment columns to reference columns, NULL if msa1->rf == NULL */
int *a2rf_map2 = NULL; /* msa2 map of alignment columns to reference columns, NULL if msa2->rf == NULL */
int apos1, apos2; /* counters over alignment position in msa1, msa2 respectively */
int alen1, alen2; /* alignment lengths */
int rfpos1, rfpos2; /* counters over reference positions */
int rflen1, rflen2; /* reference (non-gap RF) lengths */
int **mx; /* [0..c..rflen1][0..a..alen2] dp matrix, score of max scoring aln
* from 1..c in msa1 and 1..a in msa 2 */
int **tb; /* [0..c..rflen1][0..a..alen2] traceback ptrs, 0 for diagonal, 1 for vertical */
char *seq1, *seq2; /* temporary strings for ensuring dealigned sequences in msa1 and msa2 are identical */
int64_t len1, len2; /* length of seq1, seq2 */
int isgap1, isgap2; /* is this residue a gap in msa1, msa2? */
int i; /* counter over sequences */
int *res1_per_apos; /* [0..apos..alen1] number of residues in column apos of msa1 */
int sc; /* max score of full path (alignment) through dp mx */
int tb_sc; /* score of traceback, should equal sc */
int *one2two_map; /* [0..a..alen1] the alignment, msa2 column that column apos1 in msa1 maps to */
int total_res = 0; /* total number of residues in msa1 */
float coverage; /* fraction of total_res that are within mapped msa2 columns from one2two_map,
* this is tb_sc / total_res */
int total_cres1=0; /* total number of residues in reference positions in msa1 */
int covered_cres1 = 0; /* number of residues in reference positions in msa1 that also appear in the corresponding
* mapped column of msa2
*/
int be_quiet = esl_opt_GetBoolean(go, "-q");
int *choices;
int i_choice;
/* contract check */
if(! (msa1->flags & eslMSA_DIGITAL)) ESL_FAIL(eslEINVAL, errbuf, "in map_msas() msa1 (%s) not digitized.\n", esl_opt_GetArg(go, 1));
if(! (msa2->flags & eslMSA_DIGITAL)) ESL_FAIL(eslEINVAL, errbuf, "in map_msas() msa2 (%s) not digitized.\n", esl_opt_GetArg(go, 2));
alen1 = msa1->alen;
alen2 = msa2->alen;
/* Map msa1 (reference) columns to alignment positions */
rflen1 = rflen2 = 0;
if(msa1->rf != NULL) if((status = map_rfpos_to_apos(msa1, &rf2a_map1, &a2rf_map1, &rflen1)) != eslOK) goto ERROR;
if(msa2->rf != NULL) if((status = map_rfpos_to_apos(msa2, &rf2a_map2, &a2rf_map2, &rflen2)) != eslOK) goto ERROR;
if(! be_quiet) {
printf("# %-25s alignment length: %d\n", esl_opt_GetArg(go, 1), alen1);
printf("# %-25s alignment length: %d\n", esl_opt_GetArg(go, 2), alen2);
}
/* collect counts in one2two[i][j]: number of sequences for which residue aligned in msa1 non-gap column i
* is aligned in msa2 alignment column j.
*/
ESL_ALLOC(seq1, sizeof(char) * (alen1+1));
ESL_ALLOC(seq2, sizeof(char) * (alen2+1));
ESL_ALLOC(one2two, sizeof(int *) * (alen1+1));
for(apos1 = 0; apos1 <= alen1; apos1++) {
ESL_ALLOC(one2two[apos1], sizeof(int) * (alen2+1));
esl_vec_ISet(one2two[apos1], (alen2+1), 0);
}
total_res = 0;
for(i = 0; i < msa1->nseq; i++) {
/* ensure raw (unaligned) seq i in the 2 msas is the same */
esl_abc_Textize(msa1->abc, msa1->ax[i], alen1, seq1);
esl_abc_Textize(msa1->abc, msa2->ax[i], alen2, seq2); /* note: msa*1*->abc used on purpose, allows DNA/RNA to peacefully coexist in this func */
esl_strdealign(seq1, seq1, "-_.~", &len1);
esl_strdealign(seq2, seq2, "-_.~", &len2);
if(len1 != len2) {
ESL_FAIL(eslEINVAL, errbuf, "unaligned seq number %d (msa1: %s, msa2: %s) differs in length %s (%" PRId64 ") and %s (%" PRId64 "), those files must contain identical raw seqs\n",
i, msa1->sqname[i], msa2->sqname[i], esl_opt_GetArg(go, 1), len1, esl_opt_GetArg(go, 2), len2);
}
if(strncmp(seq1, seq2, len1) != 0) ESL_FAIL(eslEINVAL, errbuf, "unaligned seq number %d differs between %s and %s, those files must contain identical raw seqs\n", i, esl_opt_GetArg(go, 1), esl_opt_GetArg(go, 2));
total_res += len1;
apos1 = apos2 = 1;
while((apos1 <= alen1) || (apos2 <= alen2)) {
isgap1 = esl_abc_XIsGap(msa1->abc, msa1->ax[i][apos1]);
isgap2 = esl_abc_XIsGap(msa2->abc, msa2->ax[i][apos2]);
if ( isgap1 && isgap2) { apos1++; apos2++; }
else if ( isgap1 && !isgap2) { apos1++; }
else if (!isgap1 && isgap2) { apos2++; }
else if ( msa1->ax[i][apos1] == msa2->ax[i][apos2]) {
one2two[apos1++][apos2++]++;
/* two2one[apos2][apos1]++; */
}
}
}
/******************************************************************
* DP alignment of msa1 to msa2
* dp matrix: mx[apos1][apos2] apos1=1..msa->alen1, apos2=1..alen2 (apos1=0 || apos2=0 is invalid)
* mx[apos1][apos2] = score of maximal alignment for apos1=1..apos1, apos2'=1..apos2 INCLUDING
* apos1 and apos2. Score is number of residues from msa1 columns
* 1..apos1 that exist in their respective aligned columns in msa2 (the growing
* maximally scoring alignment).
*/
/******************************************************************
* initialization
*/
ESL_ALLOC(mx, sizeof(int *) * (alen1+1));
ESL_ALLOC(tb, sizeof(int *) * (alen1+1));
for(apos1 = 0; apos1 <= alen1; apos1++) {
ESL_ALLOC(mx[apos1], sizeof(int) * (alen2+1));
ESL_ALLOC(tb[apos1], sizeof(int) * (alen2+1));
esl_vec_ISet(mx[apos1], (alen2+1), 0);
esl_vec_ISet(tb[apos1], (alen2+1), -2); /* -2 is a bogus value, if we see it during traceback, there's a problem */
tb[apos1][0] = HORZ; /* special case, if we hit apos2==0 and apos1 > 0, we have to do HORZ moves until apos1==1 */
}
esl_vec_ISet(tb[0], (alen2+1), VERT); /* special case, if we hit apos1==0 and apos2 > 0, we have to do VERT moves until apos2==1 */
tb[0][0] = -2; /* all alignments must end here */
ESL_ALLOC(res1_per_apos, sizeof(int) * (alen1+1));
esl_vec_ISet(res1_per_apos, (alen1+1), 0);
mx[0][0] = 0;
tb[0][0] = -1; /* last cell, special value */
/*****************************************************************
* recursion
*/
ESL_ALLOC(choices, sizeof(int) * NCHOICES);
for(apos1 = 1; apos1 <= alen1; apos1++) {
for(apos2 = 1; apos2 <= alen2; apos2++) {
choices[DIAG] = mx[(apos1-1)][(apos2-1)] + one2two[apos1][apos2];
choices[VERT] = mx[ apos1 ][(apos2-1)];
choices[HORZ] = mx[(apos1-1)][ apos2 ];
i_choice = esl_vec_IArgMax(choices, NCHOICES);
mx[apos1][apos2] = choices[i_choice];
tb[apos1][apos2] = i_choice;
res1_per_apos[apos1] += one2two[apos1][apos2];
/*printf("mx[%3d][%3d]: %5d (%d)\n", apos1, apos2, mx[apos1][apos2], tb[apos1][apos2]);*/
}
}
free(choices);
total_cres1 = 0;
if(rf2a_map1 != NULL) {
for(rfpos1 = 1; rfpos1 <= rflen1; rfpos1++) total_cres1 += res1_per_apos[rf2a_map1[rfpos1]];
}
/*****************************************************************
* traceback
*/
sc = mx[alen1][alen2];
if(!be_quiet) {
/* printf("score %d\n", sc);*/
if(a2rf_map1 != NULL && a2rf_map2 != NULL) {
printf("# %12s %12s %22s\n", " msa 1 ", " msa 2 ", "");
printf("# %12s %12s %22s\n", "------------", "------------", "");
printf("# %5s %5s %5s %5s %22s\n", "rfpos", "apos", "rfpos", "apos", " num common residues");
printf("# %5s %5s %5s %5s %22s\n", "-----", "-----", "-----", "-----", "---------------------");
}
else if(a2rf_map1 != NULL) {
printf("# %12s %5s %22s\n", " msa 1 ", "msa 2", "");
printf("# %12s %5s %22s\n", "------------", "-----", "");
printf("# %5s %5s %5s %22s\n", "rfpos", "apos", "apos", " num common residues");
printf("# %5s %5s %5s %22s\n", "-----", "-----", "-----", "---------------------");
}
else if (a2rf_map2 != NULL) {
printf("# %5s %12s %22s\n", "msa 1", " msa 2 ", "");
printf("# %5s %12s %22s\n", "-----", "------------", "");
printf("# %5s %5s %5s %22s\n", "apos", "rfpos", "apos", " num common residues");
printf("# %5s %5s %5s %22s\n", "-----", "-----", "-----", "---------------------");
}
else {
printf("# %5s %5s %22s\n", "msa 1", "msa 2", "");
printf("# %5s %5s %22s\n", "-----", "-----", "");
printf("# %5s %5s %22s\n", "apos", "apos", " num common residues");
printf("# %5s %5s %22s\n", "-----", "-----", "---------------------");
}
}
/* traceback, and build one2two_map[] */
apos1 = alen1;
apos2 = alen2;
tb_sc = 0;
covered_cres1 = 0;
ESL_ALLOC(one2two_map, sizeof(int) * (alen1+1));
esl_vec_ISet(one2two_map, (alen1+1), 0);
one2two_map[0] = -1; /* invalid */
while(tb[apos1][apos2] != -1) {
if(tb[apos1][apos2] == DIAG) { /* diagonal move */
rfpos1 = (a2rf_map1 == NULL) ? -1 : a2rf_map1[apos1];
rfpos2 = (a2rf_map2 == NULL) ? -1 : a2rf_map2[apos2];
if(!be_quiet) {
if(a2rf_map1 != NULL && a2rf_map2 != NULL) {
if(rfpos1 == -1 && rfpos2 == -1) {
printf(" %5s %5d --> %5s %5d %5d / %5d (%.4f)\n", "-", apos1, "-", apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
else if (rfpos1 == -1) {
printf(" %5s %5d --> %5d %5d %5d / %5d (%.4f)\n", "-", apos1, rfpos2, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
else if (rfpos2 == -1) {
printf(" %5d %5d --> %5s %5d %5d / %5d (%.4f)\n", rfpos1, apos1, "-", apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
else {
printf(" %5d %5d --> %5d %5d %5d / %5d (%.4f)\n", rfpos1, apos1, rfpos2, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
}
else if(a2rf_map1 != NULL) {
if (rfpos1 == -1) {
printf(" %5s %5d --> %5d %5d / %5d (%.4f)\n", "-", apos1, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
else {
printf(" %5d %5d --> %5d %5d / %5d (%.4f)\n", rfpos1, apos1, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
}
else if (a2rf_map2 != NULL) {
if (rfpos2 == -1) {
printf(" %5d --> %5s %5d %5d / %5d (%.4f)\n", apos1, "-", apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
else {
printf(" %5d --> %5d %5d %5d / %5d (%.4f)\n", apos1, rfpos2, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
}
else {
printf(" %5d --> %5d %5d / %5d (%.4f)\n", apos1, apos2, one2two[apos1][apos2], res1_per_apos[apos1], (res1_per_apos[apos1] == 0) ? 0.0000 : ((float) one2two[apos1][apos2] / (float) res1_per_apos[apos1]));
}
}
tb_sc += one2two[apos1][apos2];
one2two_map[apos1] = apos2;
if(rfpos1 > 0) covered_cres1 += one2two[apos1][apos2]; /* apos1 is a rfpos */
apos1--; apos2--;
}
else if(tb[apos1][apos2] == VERT) {
apos2--; /* vertical move */
}
else if(tb[apos1][apos2] == HORZ) {
apos1--; /* horizontal move */
}
else if(tb[apos1][apos2] != -1) /* shouldn't happen */
ESL_FAIL(eslEINVAL, errbuf, "in dp traceback, tb[apos1: %d][apos2: %d] %d\n", apos1, apos2, tb[apos1][apos2]);
}
/* done DP code
**********************************/
if(!be_quiet) printf("# Total trace back sc: %d\n", tb_sc);
if(tb_sc != sc) ESL_FAIL(eslEINVAL, errbuf, "in dp traceback, tb_sc (%d) != sc (%d)\n", tb_sc, sc);
coverage = (float) tb_sc / (float) total_res;
printf("# Coverage: %6d / %6d (%.4f)\n# Coverage is fraction of residues from %s in optimally mapped columns in %s\n", tb_sc, total_res, coverage, esl_opt_GetArg(go, 1), esl_opt_GetArg(go, 2));
if(total_cres1 > 0) printf("# RF coverage: %6d / %6d (%.4f)\n# RF coverage is fraction of non-gap RF residues from %s in optimally mapped columns in %s\n", covered_cres1, total_cres1, (float) covered_cres1 / (float) total_cres1, esl_opt_GetArg(go, 1), esl_opt_GetArg(go, 2));
/* print masks if nec */
if((status = map2masks(go, errbuf, alen1, alen2, a2rf_map1, a2rf_map2, rf2a_map1, rf2a_map2, rflen1, rflen2, one2two_map)) != eslOK) return status;
/* clean up and return */
for(apos1 = 0; apos1 <= alen1; apos1++) {
free(mx[apos1]);
free(tb[apos1]);
}
free(mx);
free(tb);
for(apos1 = 0; apos1 <= alen1; apos1++) free(one2two[apos1]);
free(one2two);
free(res1_per_apos);
if(rf2a_map1 != NULL) free(rf2a_map1);
if(rf2a_map2 != NULL) free(rf2a_map2);
if(a2rf_map1 != NULL) free(a2rf_map1);
if(a2rf_map2 != NULL) free(a2rf_map2);
free(seq1);
free(seq2);
*ret_msa1_to_msa2_map = one2two_map;
return eslOK;
ERROR:
return status;
}
