public ClusterRecord(ClusterStats aa_cluster_stats, ClusterStats ab_cluster_stats, ClusterStats bb_cluster_stats,
float intensity_threshold, ClusterScore cluster_score, int?address)
{
this.aa_cluster_stats = aa_cluster_stats;
this.ab_cluster_stats = ab_cluster_stats;
this.bb_cluster_stats = bb_cluster_stats;
this.intensity_threshold = intensity_threshold;
this.cluster_score = cluster_score;
this.address = address;
}
public static ClusterFile read_cluster_file(BinaryReader handle)
{
/*
* Read a cluster file
*
* Args:
* file: EGT cluster file handle
*
* Returns:
* ClusterFile
*
* Raises:
* Exception: Incompatible cluster file format
*/
int version = (int)BeadArrayUtility.read_int(handle);
if (version != 3)
{
throw new Exception("Cluster file version " + version + " not supported");
}
string gencall_version = BeadArrayUtility.read_string(handle);
string cluster_version = BeadArrayUtility.read_string(handle);
string call_version = BeadArrayUtility.read_string(handle);
string normalization_version = BeadArrayUtility.read_string(handle);
string date_created = BeadArrayUtility.read_string(handle);
bool is_wgt = ((int)BeadArrayUtility.read_byte(handle) == 1);
if (is_wgt == false)
{
throw new Exception("Only WGT cluster file version supported");
}
string manifest_name = BeadArrayUtility.read_string(handle);
ClusterFile result = new ClusterFile(gencall_version, cluster_version, call_version,
normalization_version, date_created, manifest_name);
int data_block_version = (int)BeadArrayUtility.read_int(handle);
if (!(new List <int>(new int[] { 8, 9 }).Contains(data_block_version)))
{
throw new Exception("Data block version in cluster file " + data_block_version + " not supported");
}
// opa
string _ = BeadArrayUtility.read_string(handle);
int num_records = (int)BeadArrayUtility.read_int(handle);
List <ClusterRecord> cluster_records = ClusterFile.read_array(
handle, num_records, (BinaryReader h) => ClusterRecord.read_record(h, data_block_version)).Cast <ClusterRecord>().ToList();
List <ClusterScore> cluster_scores = ClusterFile.read_array(
handle, num_records, ClusterScore.read_record).Cast <ClusterScore>().ToList();
// genotypes
List <string> _string = ClusterFile.read_array(handle, num_records, BeadArrayUtility.read_string).Cast <string>().ToList();
List <string> loci_names = ClusterFile.read_array(handle, num_records, BeadArrayUtility.read_string).Cast <string>().ToList();
List <int> addresses = ClusterFile.read_array(handle, num_records, BeadArrayUtility.read_int).Cast <int>().ToList();
// cluster counts
List <List <int> > cluster_counts = new List <List <int> >();
for (int idx = 0; idx < num_records; ++idx)
{
//3 corresponds to number genotypes (AA, AB, BB)
cluster_counts.Add(ClusterFile.read_array(handle, 3, BeadArrayUtility.read_int).Cast <int>().ToList());
}
for (int idx = 0; idx < cluster_records.Count; ++idx)
{
ClusterRecord cluster_record = cluster_records[idx];
List <int> count_record = cluster_counts[idx];
System.Diagnostics.Debug.Assert(cluster_record.aa_cluster_stats.N == count_record[0]);
System.Diagnostics.Debug.Assert(cluster_record.ab_cluster_stats.N == count_record[1]);
System.Diagnostics.Debug.Assert(cluster_record.bb_cluster_stats.N == count_record[2]);
}
for (int idx = 0; idx < loci_names.Count; ++idx)
{
string locus_name = loci_names[idx];
int address = addresses[idx];
ClusterRecord cluster_record = cluster_records[idx];
ClusterScore cluster_score = cluster_scores[idx];
cluster_record.address = address;
cluster_record.cluster_score = cluster_score;
result.add_record(locus_name, cluster_record);
}
return(result);
}