int methyltest_main(int argc, char** argv)
{
parse_methyltest_options(argc, argv);
omp_set_num_threads(opt::num_threads);
Fast5Map name_map(opt::reads_file);
ModelMap models = read_models_fofn(opt::models_fofn, mtest_alphabet);
// Open the BAM and iterate over reads
// load bam file
htsFile* bam_fh = sam_open(opt::bam_file.c_str(), "r");
assert(bam_fh != NULL);
// load bam index file
std::string index_filename = opt::bam_file + ".bai";
hts_idx_t* bam_idx = bam_index_load(index_filename.c_str());
assert(bam_idx != NULL);
// read the bam header
bam_hdr_t* hdr = sam_hdr_read(bam_fh);
// load reference fai file
faidx_t *fai = fai_load(opt::genome_file.c_str());
hts_itr_t* itr;
// If processing a region of the genome, only emit events aligned to this window
int clip_start = -1;
int clip_end = -1;
if(opt::region.empty()) {
// TODO: is this valid?
itr = sam_itr_queryi(bam_idx, HTS_IDX_START, 0, 0);
} else {
fprintf(stderr, "Region: %s\n", opt::region.c_str());
itr = sam_itr_querys(bam_idx, hdr, opt::region.c_str());
hts_parse_reg(opt::region.c_str(), &clip_start, &clip_end);
}
#ifndef H5_HAVE_THREADSAFE
if(opt::num_threads > 1) {
fprintf(stderr, "You enabled multi-threading but you do not have a threadsafe HDF5\n");
fprintf(stderr, "Please recompile nanopolish's built-in libhdf5 or run with -t 1\n");
exit(1);
}
#endif
// Initialize writers
OutputHandles handles;
handles.site_writer = fopen(std::string(opt::bam_file + ".methyltest.sites.bed").c_str(), "w");
handles.read_writer = fopen(std::string(opt::bam_file + ".methyltest.reads.tsv").c_str(), "w");
handles.strand_writer = fopen(std::string(opt::bam_file + ".methyltest.strand.tsv").c_str(), "w");
// Write a header to the reads.tsv file
fprintf(handles.read_writer, "name\tsum_ll_ratio\tn_cpg\tcomplement_model\ttags\n");
// strand header
fprintf(handles.strand_writer, "name\tsum_ll_ratio\tn_cpg\tmodel\n");
// Initialize iteration
std::vector<bam1_t*> records(opt::batch_size, NULL);
for(size_t i = 0; i < records.size(); ++i) {
records[i] = bam_init1();
}
int result;
size_t num_reads_processed = 0;
size_t num_records_buffered = 0;
Progress progress("[methyltest]");
do {
assert(num_records_buffered < records.size());
// read a record into the next slot in the buffer
result = sam_itr_next(bam_fh, itr, records[num_records_buffered]);
num_records_buffered += result >= 0;
// realign if we've hit the max buffer size or reached the end of file
if(num_records_buffered == records.size() || result < 0) {
#pragma omp parallel for
for(size_t i = 0; i < num_records_buffered; ++i) {
bam1_t* record = records[i];
size_t read_idx = num_reads_processed + i;
if( (record->core.flag & BAM_FUNMAP) == 0) {
calculate_methylation_for_read(models, name_map, fai, hdr, record, read_idx, handles);
}
}
num_reads_processed += num_records_buffered;
num_records_buffered = 0;
}
} while(result >= 0);
assert(num_records_buffered == 0);
progress.end();
// cleanup records
for(size_t i = 0; i < records.size(); ++i) {
bam_destroy1(records[i]);
}
// cleanup
fclose(handles.site_writer);
fclose(handles.read_writer);
fclose(handles.strand_writer);
sam_itr_destroy(itr);
bam_hdr_destroy(hdr);
fai_destroy(fai);
sam_close(bam_fh);
hts_idx_destroy(bam_idx);
return EXIT_SUCCESS;
}
int calcCoverage(char *fName, Slice *slice, htsFile *in, hts_idx_t *idx, int flags) {
int ref;
int begRange;
int endRange;
char region[1024];
char region_name[512];
if (Slice_getChrStart(slice) != 1) {
fprintf(stderr, "Currently only allow a slice start position of 1\n");
return 1;
}
if (flags & M_UCSC_NAMING) {
sprintf(region,"chr%s", Slice_getSeqRegionName(slice));
} else {
sprintf(region,"%s", Slice_getSeqRegionName(slice));
}
bam_hdr_t *header = bam_hdr_init();
header = bam_hdr_read(in->fp.bgzf);
ref = bam_name2id(header, region);
if (ref < 0) {
fprintf(stderr, "Invalid region %s\n", region);
exit(1);
}
sprintf(region,"%s:%ld-%ld", region_name,
Slice_getSeqRegionStart(slice),
Slice_getSeqRegionEnd(slice));
if (hts_parse_reg(region, &begRange, &endRange) == NULL) {
fprintf(stderr, "Could not parse %s\n", region);
exit(2);
}
bam_hdr_destroy(header);
hts_itr_t *iter = sam_itr_queryi(idx, ref, begRange, endRange);
bam1_t *b = bam_init1();
Coverage *coverage = calloc(Slice_getLength(slice),sizeof(Coverage));
long counter = 0;
long overlapping = 0;
long bad = 0;
int startIndex = 0;
while (bam_itr_next(in, iter, b) >= 0) {
if (b->core.flag & (BAM_FUNMAP | BAM_FSECONDARY | BAM_FQCFAIL | BAM_FDUP)) {
bad++;
continue;
}
int end;
//end = bam_calend(&b->core, bam1_cigar(b));
end = bam_endpos(b);
// There is a special case for reads which have zero length and start at begRange (so end at begRange ie. before the first base we're interested in).
// That is the reason for the || end == begRange test
if (end == begRange) {
continue;
}
counter++;
if (!(counter%1000000)) {
if (verbosity > 1) { printf("."); }
fflush(stdout);
}
// Remember: b->core.pos is zero based!
int cigInd;
int refPos;
int readPos;
uint32_t *cigar = bam_get_cigar(b);
for (cigInd = readPos = 0, refPos = b->core.pos; cigInd < b->core.n_cigar; ++cigInd) {
int k;
int lenCigBlock = cigar[cigInd]>>4;
int op = cigar[cigInd]&0xf;
if (op == BAM_CMATCH || op == BAM_CEQUAL || op == BAM_CDIFF) {
for (k = 0; k < lenCigBlock; ++k) {
//if (ref[refPos+k] == 0) break; // out of boundary
coverage[refPos+k].coverage++;
}
if (k < lenCigBlock) break;
refPos += lenCigBlock; readPos += lenCigBlock;
} else if (op == BAM_CDEL) {
for (k = 0; k < lenCigBlock; ++k) {
// if (ref[refPos+k] == 0) break;
coverage[refPos+k].coverage++;
}
if (k < lenCigBlock) break;
refPos += lenCigBlock;
} else if (op == BAM_CSOFT_CLIP) {
readPos += lenCigBlock;
} else if (op == BAM_CHARD_CLIP) {
} else if (op == BAM_CINS) {
readPos += lenCigBlock;
} else if (op == BAM_CREF_SKIP) {
refPos += lenCigBlock;
}
}
#ifdef DONE
int j;
int done = 0;
int hadOverlap = 0;
for (j=startIndex; j < Vector_getNumElement(genes) && !done; j++) {
Gene *gene = Vector_getElementAt(genes,j);
if (!gene) {
continue;
}
// Remember: b->core.pos is zero based!
if (b->core.pos < Gene_getEnd(gene) && end >= Gene_getStart(gene)) {
int k;
int doneGene = 0;
for (k=0; k<Gene_getTranscriptCount(gene) && !doneGene; k++) {
Transcript *trans = Gene_getTranscriptAt(gene,k);
if (b->core.pos < Transcript_getEnd(trans) && end >= Transcript_getStart(trans)) {
int m;
for (m=0; m<Transcript_getExonCount(trans) && !doneGene; m++) {
Exon *exon = Transcript_getExonAt(trans,m);
if (b->core.pos < Exon_getEnd(exon) && end >= Exon_getStart(exon)) {
// Only count as overlapping once (could be that a read overlaps more than one gene)
if (!hadOverlap) {
overlapping++;
hadOverlap = 1;
}
gs = IDHash_getValue(geneCountsHash, Gene_getDbID(gene));
gs->score++;
doneGene = 1;
}
}
}
}
} else if (Gene_getStart(gene) > end) {
done = 1;
} else if (Gene_getEnd(gene) < b->core.pos+1) {
gs = IDHash_getValue(geneCountsHash, Gene_getDbID(gene));
printf("Gene %s (%s) score %ld\n",Gene_getStableId(gene),
Gene_getDisplayXref(gene) ? DBEntry_getDisplayId(Gene_getDisplayXref(gene)) : "",
gs->score);
if (verbosity > 1) {
printf("Removing gene %s (index %d) with extent %d to %d\n",
Gene_getStableId(gene),
gs->index,
Gene_getStart(gene),
Gene_getEnd(gene));
}
Vector_setElementAt(genes,j,NULL);
// Magic (very important for speed) - move startIndex to first non null gene
int n;
startIndex = 0;
for (n=0;n<Vector_getNumElement(genes);n++) {
void *v = Vector_getElementAt(genes,n);
if (v != NULL) {
break;
}
startIndex++;
}
if (verbosity > 1) {
printf("startIndex now %d\n",startIndex);
}
}
}
#endif
}
if (verbosity > 1) { printf("\n"); }
#ifdef DONE
// Print out read counts for what ever's left in the genes array
int n;
for (n=0;n<Vector_getNumElement(genes);n++) {
Gene *gene = Vector_getElementAt(genes,n);
if (gene != NULL) {
gs = IDHash_getValue(geneCountsHash, Gene_getDbID(gene));
printf("Gene %s (%s) score %ld\n",Gene_getStableId(gene),
Gene_getDisplayXref(gene) ? DBEntry_getDisplayId(Gene_getDisplayXref(gene)) : "",
gs->score);
}
}
#endif
printf("Read %ld reads. Number of bad reads (unmapped, qc fail, secondary, dup) %ld\n", counter, bad);
long i;
for (i=0; i< Slice_getLength(slice); i++) {
printf("%ld %ld\n", i+1, coverage[i].coverage);
}
sam_itr_destroy(iter);
bam_destroy1(b);
return 1;
}
int scorereads_main(int argc, char** argv)
{
parse_scorereads_options(argc, argv);
omp_set_num_threads(opt::num_threads);
Fast5Map name_map(opt::reads_file);
ModelMap models;
if (!opt::models_fofn.empty())
models = read_models_fofn(opt::models_fofn);
// Open the BAM and iterate over reads
// load bam file
htsFile* bam_fh = sam_open(opt::bam_file.c_str(), "r");
assert(bam_fh != NULL);
// load bam index file
std::string index_filename = opt::bam_file + ".bai";
hts_idx_t* bam_idx = bam_index_load(index_filename.c_str());
assert(bam_idx != NULL);
// read the bam header
bam_hdr_t* hdr = sam_hdr_read(bam_fh);
// load reference fai file
faidx_t *fai = fai_load(opt::genome_file.c_str());
hts_itr_t* itr;
// If processing a region of the genome, only emit events aligned to this window
int clip_start = -1;
int clip_end = -1;
if(opt::region.empty()) {
// TODO: is this valid?
itr = sam_itr_queryi(bam_idx, HTS_IDX_START, 0, 0);
} else {
fprintf(stderr, "Region: %s\n", opt::region.c_str());
itr = sam_itr_querys(bam_idx, hdr, opt::region.c_str());
hts_parse_reg(opt::region.c_str(), &clip_start, &clip_end);
}
#ifndef H5_HAVE_THREADSAFE
if(opt::num_threads > 1) {
fprintf(stderr, "You enabled multi-threading but you do not have a threadsafe HDF5\n");
fprintf(stderr, "Please recompile nanopolish's built-in libhdf5 or run with -t 1\n");
exit(1);
}
#endif
// Initialize iteration
std::vector<bam1_t*> records(opt::batch_size, NULL);
for(size_t i = 0; i < records.size(); ++i) {
records[i] = bam_init1();
}
int result;
size_t num_reads_realigned = 0;
size_t num_records_buffered = 0;
do {
assert(num_records_buffered < records.size());
// read a record into the next slot in the buffer
result = sam_itr_next(bam_fh, itr, records[num_records_buffered]);
num_records_buffered += result >= 0;
// realign if we've hit the max buffer size or reached the end of file
if(num_records_buffered == records.size() || result < 0) {
#pragma omp parallel for schedule(dynamic)
for(size_t i = 0; i < num_records_buffered; ++i) {
bam1_t* record = records[i];
size_t read_idx = num_reads_realigned + i;
if( (record->core.flag & BAM_FUNMAP) == 0) {
//load read
std::string read_name = bam_get_qname(record);
std::string fast5_path = name_map.get_path(read_name);
SquiggleRead sr(read_name, fast5_path);
// TODO: early exit when have processed all of the reads in readnames
if (!opt::readnames.empty() &&
std::find(opt::readnames.begin(), opt::readnames.end(), read_name) == opt::readnames.end() )
continue;
for(size_t strand_idx = 0; strand_idx < NUM_STRANDS; ++strand_idx) {
std::vector<EventAlignment> ao = alignment_from_read(sr, strand_idx, read_idx,
models, fai, hdr,
record, clip_start, clip_end);
if (ao.size() == 0)
continue;
// Update pore model based on alignment
if ( opt::calibrate )
recalibrate_model(sr, strand_idx, ao, false);
double score = model_score(sr, strand_idx, fai, ao, 500);
if (score > 0)
continue;
#pragma omp critical(print)
std::cout << read_name << " " << ( strand_idx ? "complement" : "template" )
<< " " << sr.pore_model[strand_idx].name << " " << score << std::endl;
}
}
}
num_reads_realigned += num_records_buffered;
num_records_buffered = 0;
}
} while(result >= 0);
// cleanup records
for(size_t i = 0; i < records.size(); ++i) {
bam_destroy1(records[i]);
}
// cleanup
sam_itr_destroy(itr);
bam_hdr_destroy(hdr);
fai_destroy(fai);
sam_close(bam_fh);
hts_idx_destroy(bam_idx);
return 0;
}
void train_one_round(const Fast5Map& name_map, size_t round)
{
const PoreModelMap& current_models = PoreModelSet::get_models(opt::trained_model_type);
// Initialize the training summary stats for each kmer for each model
ModelTrainingMap model_training_data;
for(auto current_model_iter = current_models.begin(); current_model_iter != current_models.end(); current_model_iter++) {
// one summary entry per kmer in the model
std::vector<StateSummary> summaries(current_model_iter->second.get_num_states());
model_training_data[current_model_iter->first] = summaries;
}
// Open the BAM and iterate over reads
// load bam file
htsFile* bam_fh = sam_open(opt::bam_file.c_str(), "r");
assert(bam_fh != NULL);
// load bam index file
std::string index_filename = opt::bam_file + ".bai";
hts_idx_t* bam_idx = bam_index_load(index_filename.c_str());
assert(bam_idx != NULL);
// read the bam header
bam_hdr_t* hdr = sam_hdr_read(bam_fh);
// load reference fai file
faidx_t *fai = fai_load(opt::genome_file.c_str());
hts_itr_t* itr;
// If processing a region of the genome, only emit events aligned to this window
int clip_start = -1;
int clip_end = -1;
if(opt::region.empty()) {
// TODO: is this valid?
itr = sam_itr_queryi(bam_idx, HTS_IDX_START, 0, 0);
} else {
fprintf(stderr, "Region: %s\n", opt::region.c_str());
itr = sam_itr_querys(bam_idx, hdr, opt::region.c_str());
hts_parse_reg(opt::region.c_str(), &clip_start, &clip_end);
}
#ifndef H5_HAVE_THREADSAFE
if(opt::num_threads > 1) {
fprintf(stderr, "You enabled multi-threading but you do not have a threadsafe HDF5\n");
fprintf(stderr, "Please recompile nanopolish's built-in libhdf5 or run with -t 1\n");
exit(1);
}
#endif
// Initialize iteration
std::vector<bam1_t*> records(opt::batch_size, NULL);
for(size_t i = 0; i < records.size(); ++i) {
records[i] = bam_init1();
}
int result;
size_t num_reads_realigned = 0;
size_t num_records_buffered = 0;
Progress progress("[methyltrain]");
do {
assert(num_records_buffered < records.size());
// read a record into the next slot in the buffer
result = sam_itr_next(bam_fh, itr, records[num_records_buffered]);
num_records_buffered += result >= 0;
// realign if we've hit the max buffer size or reached the end of file
if(num_records_buffered == records.size() || result < 0) {
#pragma omp parallel for
for(size_t i = 0; i < num_records_buffered; ++i) {
bam1_t* record = records[i];
size_t read_idx = num_reads_realigned + i;
if( (record->core.flag & BAM_FUNMAP) == 0) {
add_aligned_events(name_map, fai, hdr, record, read_idx, clip_start, clip_end, round, model_training_data);
}
}
num_reads_realigned += num_records_buffered;
num_records_buffered = 0;
}
if(opt::progress) {
fprintf(stderr, "Realigned %zu reads in %.1lfs\r", num_reads_realigned, progress.get_elapsed_seconds());
}
} while(result >= 0);
assert(num_records_buffered == 0);
progress.end();
// open the summary file
std::stringstream summary_fn;
summary_fn << "methyltrain" << opt::out_suffix << ".summary";
FILE* summary_fp = fopen(summary_fn.str().c_str(), "w");
fprintf(summary_fp, "model_short_name\tkmer\tnum_matches\tnum_skips\t"
"num_stays\tnum_events_for_training\twas_trained\t"
"trained_level_mean\ttrained_level_stdv\n");
// open the tsv file with the raw training data
std::stringstream training_fn;
training_fn << "methyltrain" << opt::out_suffix << ".round" << round << ".events.tsv";
std::ofstream training_ofs(training_fn.str());
// write out a header for the training data
StateTrainingData::write_header(training_ofs);
// iterate over models: template, complement_pop1, complement_pop2
for(auto model_training_iter = model_training_data.begin();
model_training_iter != model_training_data.end(); model_training_iter++) {
// Initialize the trained model from the input model
auto current_model_iter = current_models.find(model_training_iter->first);
assert(current_model_iter != current_models.end());
std::string model_name = model_training_iter->first;
std::string model_short_name = current_model_iter->second.metadata.get_short_name();
// Initialize the new model from the current model
PoreModel updated_model = current_model_iter->second;
uint32_t k = updated_model.k;
const std::vector<StateSummary>& summaries = model_training_iter->second;
// Generate the complete set of kmers
std::string gen_kmer(k, 'A');
std::vector<std::string> all_kmers;
for(size_t ki = 0; ki < summaries.size(); ++ki) {
all_kmers.push_back(gen_kmer);
mtrain_alphabet->lexicographic_next(gen_kmer);
}
assert(gen_kmer == std::string(k, 'A'));
assert(all_kmers.front() == std::string(k, 'A'));
assert(all_kmers.back() == std::string(k, 'T'));
// Update means for each kmer
#pragma omp parallel for
for(size_t ki = 0; ki < summaries.size(); ++ki) {
assert(ki < all_kmers.size());
std::string kmer = all_kmers[ki];
// write the observed values to a tsv file
#pragma omp critical
{
for(size_t ei = 0; ei < summaries[ki].events.size(); ++ei) {
summaries[ki].events[ei].write_tsv(training_ofs, model_short_name, kmer);
}
}
bool is_m_kmer = kmer.find('M') != std::string::npos;
bool update_kmer = opt::training_target == TT_ALL_KMERS ||
(is_m_kmer && opt::training_target == TT_METHYLATED_KMERS) ||
(!is_m_kmer && opt::training_target == TT_UNMETHYLATED_KMERS);
bool trained = false;
// only train if there are a sufficient number of events for this kmer
if(update_kmer && summaries[ki].events.size() >= opt::min_number_of_events_to_train) {
// train a mixture model where a minority of k-mers aren't methylated
ParamMixture mixture;
float incomplete_methylation_rate = 0.05f;
std::string um_kmer = mtrain_alphabet->unmethylate(kmer);
size_t um_ki = mtrain_alphabet->kmer_rank(um_kmer.c_str(), k);
// Initialize the training parameters. If this is a kmer containing
// a methylation site we train a two component mixture, otherwise
// just fit a gaussian
float major_weight = is_m_kmer ? 1 - incomplete_methylation_rate : 1.0f;
mixture.log_weights.push_back(log(major_weight));
mixture.params.push_back(current_model_iter->second.get_parameters(ki));
if(is_m_kmer) {
// add second unmethylated component
mixture.log_weights.push_back(std::log(incomplete_methylation_rate));
mixture.params.push_back(current_model_iter->second.get_parameters(um_ki));
}
if(opt::verbose > 1) {
fprintf(stderr, "INIT__MIX %s\t%s\t[%.2lf %.2lf %.2lf]\t[%.2lf %.2lf %.2lf]\n", model_training_iter->first.c_str(), kmer.c_str(),
std::exp(mixture.log_weights[0]), mixture.params[0].level_mean, mixture.params[0].level_stdv,
std::exp(mixture.log_weights[1]), mixture.params[1].level_mean, mixture.params[1].level_stdv);
}
ParamMixture trained_mixture = train_gaussian_mixture(summaries[ki].events, mixture);
if(opt::verbose > 1) {
fprintf(stderr, "TRAIN_MIX %s\t%s\t[%.2lf %.2lf %.2lf]\t[%.2lf %.2lf %.2lf]\n", model_training_iter->first.c_str(), kmer.c_str(),
std::exp(trained_mixture.log_weights[0]), trained_mixture.params[0].level_mean, trained_mixture.params[0].level_stdv,
std::exp(trained_mixture.log_weights[1]), trained_mixture.params[1].level_mean, trained_mixture.params[1].level_stdv);
}
#pragma omp critical
updated_model.states[ki] = trained_mixture.params[0];
if (model_stdv()) {
ParamMixture ig_mixture;
// weights
ig_mixture.log_weights = trained_mixture.log_weights;
// states
ig_mixture.params.emplace_back(trained_mixture.params[0]);
if(is_m_kmer) {
ig_mixture.params.emplace_back(current_model_iter->second.get_parameters(um_ki));
}
// run training
auto trained_ig_mixture = train_invgaussian_mixture(summaries[ki].events, ig_mixture);
LOG("methyltrain", debug)
<< "IG_INIT__MIX " << model_training_iter->first.c_str() << " " << kmer.c_str() << " ["
<< std::fixed << std::setprecision(5) << ig_mixture.params[0].sd_mean << " "
<< ig_mixture.params[1].sd_mean << "]" << std::endl
<< "IG_TRAIN_MIX " << model_training_iter->first.c_str() << " " << kmer.c_str() << " ["
<< trained_ig_mixture.params[0].sd_mean << " "
<< trained_ig_mixture.params[1].sd_mean << "]" << std::endl;
// update state
#pragma omp critical
{
updated_model.states[ki] = trained_ig_mixture.params[0];
}
}
trained = true;
}
#pragma omp critical
{
fprintf(summary_fp, "%s\t%s\t%d\t%d\t%d\t%zu\t%d\t%.2lf\t%.2lf\n",
model_short_name.c_str(), kmer.c_str(),
summaries[ki].num_matches, summaries[ki].num_skips, summaries[ki].num_stays,
summaries[ki].events.size(), trained, updated_model.states[ki].level_mean, updated_model.states[ki].level_stdv);
}
// add the updated model into the collection (or replace what is already there)
PoreModelSet::insert_model(opt::trained_model_type, updated_model);
}
}
// cleanup records
for(size_t i = 0; i < records.size(); ++i) {
bam_destroy1(records[i]);
}
// cleanup
sam_itr_destroy(itr);
bam_hdr_destroy(hdr);
fai_destroy(fai);
sam_close(bam_fh);
hts_idx_destroy(bam_idx);
fclose(summary_fp);
}
loci_stats *bam_access_get_position_base_counts(char *chr, int posn){
char *region = NULL;
hts_itr_t *iter = NULL;
bam1_t* b = NULL;
bam_plp_t buf;
loci_stats *stats = malloc(sizeof(loci_stats *));
check_mem(stats);
stats->base_counts = malloc(sizeof(int) * 4);
check_mem(stats->base_counts);
stats->base_counts[0] = 0;
stats->base_counts[1] = 0;
stats->base_counts[2] = 0;
stats->base_counts[3] = 0;
fholder->stats = stats;
region = malloc((sizeof(char *) * (strlen(chr)+1))+sizeof(":")+sizeof("-")+(sizeof(char)*((no_of_digits(posn)*2)+1)));
sprintf(region,"%s:%d-%d",chr,posn,posn);
fholder->beg = posn;
fholder->end = posn;
// initialize pileup
buf = bam_plp_init(pileup_func, (void *)fholder);
bam_plp_set_maxcnt(buf,maxitercnt);
/*
sam_fetch(fholder->in, fholder->idx, ref, fholder->beg, fholder->end, buf, fetch_algo_func);
*/
//Replace fetch with iterator for htslib compatibility.
b = bam_init1();
iter = sam_itr_querys(fholder->idx, fholder->head, region);
int result;
int count = 0;
while ((result = sam_itr_next(fholder->in, iter, b)) >= 0) {
if(b->core.qual < min_map_qual || (b->core.flag & BAM_FUNMAP)
|| !(b->core.flag & BAM_FPROPER_PAIR) || (b->core.flag & BAM_FMUNMAP)//Proper pair and mate unmapped
|| (b->core.flag & BAM_FDUP)//1024 is PCR/optical duplicate
|| (b->core.flag & BAM_FSECONDARY) || (b->core.flag & BAM_FQCFAIL)//Secondary alignment, quality fail
|| (b->core.flag & BAM_FSUPPLEMENTARY) ) continue;
count++;
bam_plp_push(buf, b);
}
sam_itr_destroy(iter);
bam_plp_push(buf, 0);
int tid, pos, n_plp = -1;
const bam_pileup1_t *pil;
while ( (pil=bam_plp_next(buf, &tid, &pos, &n_plp)) > 0) {
if((pos+1) != posn) continue;
int i=0;
for(i=0;i<n_plp;i++){
const bam_pileup1_t *p = pil + i;
int qual = bam_get_qual(p->b)[p->qpos];
uint8_t c = bam_seqi(bam_get_seq(p->b), p->qpos);
if(!(p->is_del) && qual >= min_base_qual
&& p->b->core.qual >= min_map_qual){
//&& (c == 1 /*A*/|| c == 2 /*C*/|| c == 4 /*G*/|| c == 8 /*T*/)){
//Now we add a new read pos struct to the list since the read is valid.
//char cbase = toupper(bam_nt16_rev_table[c]);
switch(c){
case 1:
fholder->stats->base_counts[0]++;
break;
case 2:
fholder->stats->base_counts[1]++;
break;
case 4:
fholder->stats->base_counts[2]++;
break;
case 8:
fholder->stats->base_counts[3]++;
break;
default:
break;
}; // End of args switch statement */
}
}
} //End of iteration through pileup
//bam_plp_push(buf, 0); // finalize pileup
bam_plp_destroy(buf);
free(region);
return fholder->stats;
error:
//if(region) free(region);
if(fholder->stats){
if(fholder->stats->base_counts) free(fholder->stats->base_counts);
free(fholder->stats);
}
if(iter) sam_itr_destroy(iter);
if(b) bam_destroy1(b);
if(region) free(region);
return NULL;
}
