TEST_EQUAL(map.getExperimentType() == "label-free", true)
TEST_EQUAL(map.getMetaValue("name1") == DataValue("value1"), true)
TEST_EQUAL(map.getMetaValue("name2") == DataValue(2), true)
//file descriptions
TEST_EQUAL(map.getFileDescriptions()[0].filename == "data/MapAlignmentFeatureMap1.xml", true)
TEST_EQUAL(map.getFileDescriptions()[0].label, "label")
TEST_EQUAL(map.getFileDescriptions()[0].size, 144)
TEST_EQUAL(map.getFileDescriptions()[0].getMetaValue("name3") == DataValue("value3"), true)
TEST_EQUAL(map.getFileDescriptions()[0].getMetaValue("name4") == DataValue(4), true)
TEST_STRING_EQUAL(map.getFileDescriptions()[1].filename, "data/MapAlignmentFeatureMap2.xml")
TEST_EQUAL(map.getFileDescriptions()[1].label, "")
TEST_EQUAL(map.getFileDescriptions()[1].size, 0)
TEST_EQUAL(map.getFileDescriptions()[1].getMetaValue("name5") == DataValue("value5"), true)
TEST_EQUAL(map.getFileDescriptions()[1].getMetaValue("name6") == DataValue(6.0), true)
//data processing
TEST_EQUAL(map.getDataProcessing().size(), 2)
TEST_STRING_EQUAL(map.getDataProcessing()[0].getSoftware().getName(), "Software1")
TEST_STRING_EQUAL(map.getDataProcessing()[0].getSoftware().getVersion(), "0.91a")
TEST_EQUAL(map.getDataProcessing()[0].getProcessingActions().size(), 1)
TEST_EQUAL(map.getDataProcessing()[0].getProcessingActions().count(DataProcessing::DEISOTOPING), 1)
TEST_STRING_EQUAL(map.getDataProcessing()[0].getMetaValue("name"), "dataProcessing")
TEST_STRING_EQUAL(map.getDataProcessing()[1].getSoftware().getName(), "Software2")
TEST_STRING_EQUAL(map.getDataProcessing()[1].getSoftware().getVersion(), "0.92a")
TEST_EQUAL(map.getDataProcessing()[1].getProcessingActions().size(), 2)
TEST_EQUAL(map.getDataProcessing()[1].getProcessingActions().count(DataProcessing::SMOOTHING), 1)
TEST_EQUAL(map.getDataProcessing()[1].getProcessingActions().count(DataProcessing::BASELINE_REDUCTION), 1)
//protein identifications
TEST_EQUAL(map.getProteinIdentifications().size(), 2)
TEST_EQUAL(map.getProteinIdentifications()[0].getHits().size(), 2)
TEST_EQUAL(map.getProteinIdentifications()[0].getHits()[0].getSequence(), "ABCDEFG")
TEST_EQUAL(map.getProteinIdentifications()[0].getHits()[1].getSequence(), "HIJKLMN")
ExitCodes outputTo(ostream& os)
{
//-------------------------------------------------------------
// Parameter handling
//-------------------------------------------------------------
// File names
String in = getStringOption_("in");
// File type
FileHandler fh;
FileTypes::Type in_type = FileTypes::nameToType(getStringOption_("in_type"));
if (in_type == FileTypes::UNKNOWN)
{
in_type = fh.getType(in);
writeDebug_(String("Input file type: ") + FileTypes::typeToName(in_type), 2);
}
if (in_type == FileTypes::UNKNOWN)
{
writeLog_("Error: Could not determine input file type!");
return PARSE_ERROR;
}
MSExperiment<Peak1D> exp;
FeatureMap feat;
ConsensusMap cons;
if (in_type == FileTypes::FEATUREXML) //features
{
FeatureXMLFile().load(in, feat);
feat.updateRanges();
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
ConsensusXMLFile().load(in, cons);
cons.updateRanges();
}
//-------------------------------------------------------------
// meta information
//-------------------------------------------------------------
if (getFlag_("m"))
{
os << endl
<< "-- General information --" << endl
<< endl
<< "file name: " << in << endl
<< "file type: " << FileTypes::typeToName(in_type) << endl;
//basic info
os << endl
<< "-- Meta information --" << endl
<< endl;
if (in_type == FileTypes::FEATUREXML) //features
{
os << "Document id : " << feat.getIdentifier() << endl << endl;
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
os << "Document id : " << cons.getIdentifier() << endl << endl;
}
}
//-------------------------------------------------------------
// data processing
//-------------------------------------------------------------
if (getFlag_("p"))
{
//basic info
os << endl
<< "-- Data processing information --" << endl
<< endl;
//get data processing info
vector<DataProcessing> dp;
if (in_type == FileTypes::FEATUREXML) //features
{
dp = feat.getDataProcessing();
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
dp = cons.getDataProcessing();
}
int i = 0;
for (vector<DataProcessing>::iterator it = dp.begin(); it != dp.end(); ++it)
{
os << "Data processing " << i << endl;
os << "\tcompletion_time: " << (*it).getCompletionTime().getDate() << 'T' << (*it).getCompletionTime().getTime() << endl;
os << "\tsoftware name: " << (*it).getSoftware().getName() << " version " << (*it).getSoftware().getVersion() << endl;
for (set<DataProcessing::ProcessingAction>::const_iterator paIt = (*it).getProcessingActions().begin(); paIt != (*it).getProcessingActions().end(); ++paIt)
{
os << "\t\tprocessing action: " << DataProcessing::NamesOfProcessingAction[*paIt] << endl;
}
}
++i;
}
//-------------------------------------------------------------
// statistics
//-------------------------------------------------------------
if (getFlag_("s"))
{
//-------------------------------------------------------------
// Content statistics
//-------------------------------------------------------------
Map<String, int> meta_names;
if (in_type == FileTypes::FEATUREXML) //features
{
os << "Number of features: " << feat.size() << endl
<< endl
<< "Ranges:" << endl
<< " retention time: " << String::number(feat.getMin()[Peak2D::RT], 2) << " : " << String::number(feat.getMax()[Peak2D::RT], 2) << endl
<< " mass-to-charge: " << String::number(feat.getMin()[Peak2D::MZ], 2) << " : " << String::number(feat.getMax()[Peak2D::MZ], 2) << endl
<< " intensity: " << String::number(feat.getMinInt(), 2) << " : " << String::number(feat.getMaxInt(), 2) << endl
<< endl;
// Charge distribution
Map<UInt, UInt> charges;
for (Size i = 0; i < feat.size(); ++i)
{
charges[feat[i].getCharge()]++;
}
os << "Charge distribution" << endl;
for (Map<UInt, UInt>::const_iterator it = charges.begin();
it != charges.end(); ++it)
{
os << "charge " << it->first << ": " << it->second << endl;
}
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
map<Size, UInt> num_consfeat_of_size;
for (ConsensusMap::const_iterator cmit = cons.begin();
cmit != cons.end(); ++cmit)
{
++num_consfeat_of_size[cmit->size()];
}
os << endl << "Number of consensus features:" << endl;
for (map<Size, UInt>::reverse_iterator i = num_consfeat_of_size.rbegin(); i != num_consfeat_of_size.rend(); ++i)
{
os << " of size " << setw(2) << i->first << ": " << setw(6) << i->second << endl;
}
os << " total: " << setw(6) << cons.size() << endl << endl;
os << "Ranges:" << endl
<< " retention time: " << String::number(cons.getMin()[Peak2D::RT], 2) << " : " << String::number(cons.getMax()[Peak2D::RT], 2) << endl
<< " mass-to-charge: " << String::number(cons.getMin()[Peak2D::MZ], 2) << " : " << String::number(cons.getMax()[Peak2D::MZ], 2) << endl
<< " intensity: " << String::number(cons.getMinInt(), 2) << " : " << String::number(cons.getMaxInt(), 2) << endl;
// file descriptions
const ConsensusMap::FileDescriptions& descs = cons.getFileDescriptions();
if (!descs.empty())
{
os << endl <<
"File descriptions:" << endl;
for (ConsensusMap::FileDescriptions::const_iterator it = descs.begin(); it != descs.end(); ++it)
{
os << " - " << it->second.filename << endl
<< " identifier: " << it->first << endl
<< " label : " << it->second.label << endl
<< " size : " << it->second.size << endl;
}
}
}
os << endl
<< "-- Summary Statistics --" << endl
<< endl;
}
if (in_type == FileTypes::FEATUREXML) //features
{
feat.sortByRT();
vector<double> slice_stats;
Size n = getIntOption_("n");
Size begin = 0;
Size end = 0;
os << "#slice\tRT_begin\tRT_end\tnumber_of_features\ttic\t"
<< "int_mean\tint_stddev\tint_min\tint_max\tint_median\tint_lowerq\tint_upperq\t"
<< "mz_mean\tmz_stddev\tmz_min\tmz_max\tmz_median\tmz_lowerq\tmz_upperq\t"
<< "width_mean\twidth_stddev\twidth_min\twidth_max\twidth_median\twidth_lowerq\twidth_upperq\t"
<< "qual_mean\tqual_stddev\tqual_min\tqual_max\tqual_median\tqual_lowerq\tqual_upperq\t"
<< "rt_qual_mean\trt_qual_stddev\trt_qual_min\trt_qual_max\trt_qual_median\trt_qual_lowerq\trt_qual_upperq\t"
<< "mz_qual_mean\tmz_qual_stddev\tmz_qual_min\tmz_qual_max\tmz_qual_median\tmz_qual_lowerq\tmz_qual_upperq"
<< endl;
double rt_begin = 0.0;
for (Size slice = 0; slice < n; ++slice)
{
// Determine slice boundaries.
double rt_end = feat.back().getRT() / (double)n * (slice + 1);
for (end = begin; end < feat.size() && feat[end].getRT() < rt_end; ++end) {}
// Compute statistics on all features in this slice.
slice_stats = sliceStatistics(feat, begin, end);
// Write the beginning and end of the slices to the output as well as the slice index.
os << slice << "\t" << rt_begin << "\t" << rt_end << "\t" << end - begin << "\t";
// Write the statistics as a line of an csv file
copy(slice_stats.begin(), slice_stats.end(), ostream_iterator<double>(os, "\t"));
os << endl;
begin = end;
rt_begin = rt_end;
}
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
Size size = cons.size();
vector<double> intensities;
intensities.reserve(size);
vector<double> qualities(size);
qualities.reserve(size);
vector<double> widths(size);
widths.reserve(size);
vector<double> rt_delta_by_elems;
vector<double> rt_aad_by_elems;
vector<double> rt_aad_by_cfs;
rt_aad_by_cfs.reserve(size);
vector<double> mz_delta_by_elems;
vector<double> mz_aad_by_elems;
vector<double> mz_aad_by_cfs;
mz_aad_by_cfs.reserve(size);
vector<double> it_delta_by_elems;
vector<double> it_aad_by_elems;
vector<double> it_aad_by_cfs;
it_aad_by_cfs.reserve(size);
for (ConsensusMap::const_iterator cm_iter = cons.begin();
cm_iter != cons.end(); ++cm_iter)
{
double rt_aad = 0;
double mz_aad = 0;
double it_aad = 0;
intensities.push_back(cm_iter->getIntensity());
qualities.push_back(cm_iter->getQuality());
widths.push_back(cm_iter->getWidth());
for (ConsensusFeature::HandleSetType::const_iterator hs_iter = cm_iter->begin();
hs_iter != cm_iter->end(); ++hs_iter)
{
double rt_diff = hs_iter->getRT() - cm_iter->getRT();
rt_delta_by_elems.push_back(rt_diff);
if (rt_diff < 0)
{
rt_diff = -rt_diff;
}
rt_aad_by_elems.push_back(rt_diff);
rt_aad += rt_diff;
double mz_diff = hs_iter->getMZ() - cm_iter->getMZ();
mz_delta_by_elems.push_back(mz_diff);
if (mz_diff < 0)
{
mz_diff = -mz_diff;
}
mz_aad_by_elems.push_back(mz_diff);
mz_aad += mz_diff;
double it_ratio = hs_iter->getIntensity() / (cm_iter->getIntensity() ? cm_iter->getIntensity() : 1.);
it_delta_by_elems.push_back(it_ratio);
if (it_ratio < 1.)
{
it_ratio = 1. / it_ratio;
}
it_aad_by_elems.push_back(it_ratio);
it_aad += it_ratio;
}
if (!cm_iter->empty())
{
rt_aad /= cm_iter->size();
mz_aad /= cm_iter->size();
it_aad /= cm_iter->size();
} // otherwise rt_aad etc. are 0 anyway
rt_aad_by_cfs.push_back(rt_aad);
mz_aad_by_cfs.push_back(mz_aad);
it_aad_by_cfs.push_back(it_aad);
}
OpenMS::SomeStatistics some_statistics;
os.precision(writtenDigits(ConsensusFeature::IntensityType()));
os << "Intensities of consensus features:" << endl << some_statistics(intensities) << endl;
os.precision(writtenDigits(ConsensusFeature::QualityType()));
os << "Qualities of consensus features:" << endl << some_statistics(qualities) << endl;
os.precision(writtenDigits(ConsensusFeature::CoordinateType()));
os << "Retention time differences ( element-center, weight 1 per element):" << endl << some_statistics(rt_delta_by_elems) << endl;
os << "Absolute retention time differences ( |element-center|, weight 1 per element):" << endl << some_statistics(rt_aad_by_elems) << endl;
os << "Average absolute differences of retention time within consensus features ( |element-center|, weight 1 per consensus features):" << endl << some_statistics(rt_aad_by_cfs) << endl;
os.precision(writtenDigits(ConsensusFeature::CoordinateType()));
os << "Mass-to-charge differences ( element-center, weight 1 per element):" << endl << some_statistics(mz_delta_by_elems) << endl;
os << "Absolute differences of mass-to-charge ( |element-center|, weight 1 per element):" << endl << some_statistics(mz_aad_by_elems) << endl;
os << "Average absolute differences of mass-to-charge within consensus features ( |element-center|, weight 1 per consensus features):" << endl << some_statistics(mz_aad_by_cfs) << endl;
os.precision(writtenDigits(ConsensusFeature::IntensityType()));
os << "Intensity ratios ( element/center, weight 1 per element):" << endl << some_statistics(it_delta_by_elems) << endl;
os << "Relative intensity error ( max{(element/center),(center/element)}, weight 1 per element):" << endl << some_statistics(it_aad_by_elems) << endl;
os << "Average relative intensity error within consensus features ( max{(element/center),(center/element)}, weight 1 per consensus features):" << endl << some_statistics(it_aad_by_cfs) << endl;
}
return EXECUTION_OK;
}