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fastq_qc.py
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fastq_qc.py
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from django.db import models
class Fastqc(models.Model):
fastqc_L001_R1 = models.ForeignKey("Fastqc_read_data", on_delete=models.DO_NOTHING, related_name="fastqc_L001_R1")
fastqc_L001_R2 = models.ForeignKey("Fastqc_read_data", on_delete=models.DO_NOTHING, related_name="fastqc_L001_R2")
fastqc_L002_R1 = models.ForeignKey("Fastqc_read_data", on_delete=models.DO_NOTHING, related_name="fastqc_L002_R1", blank=True, null=True)
fastqc_L002_R2 = models.ForeignKey("Fastqc_read_data", on_delete=models.DO_NOTHING, related_name="fastqc_L002_R2", blank=True, null=True)
class Fastqc_read_data(models.Model):
sample_read = models.CharField(max_length=50, blank=True)
lane = models.CharField(max_length=20, blank=True)
file_type = models.CharField(max_length=50)
encoding = models.CharField(max_length=50)
total_sequences = models.FloatField()
sequences_flagged_as_poor_quality = models.FloatField()
sequence_length = models.CharField(max_length=20)
gc_pct = models.FloatField()
total_deduplicated_pct = models.FloatField()
avg_sequence_length = models.FloatField()
basic_statistics = models.CharField(max_length=10)
per_base_sequence_quality = models.CharField(max_length=10)
per_tile_sequence_quality = models.CharField(max_length=10, null=True)
per_sequence_quality_scores = models.CharField(max_length=10)
per_base_sequence_content = models.CharField(max_length=10)
per_sequence_gc_content = models.CharField(max_length=10)
per_base_n_content = models.CharField(max_length=10)
sequence_length_distribution = models.CharField(max_length=10)
sequence_duplication_levels = models.CharField(max_length=10)
overrepresented_sequences = models.CharField(max_length=10)
adapter_content = models.CharField(max_length=10)
class Meta:
app_label = "trend_monitoring"
db_table = "fastqc_data"
class Bcl2fastq_data(models.Model):
total = models.BigIntegerField(null=True)
total_yield = models.BigIntegerField(null=True)
perfect_index = models.BigIntegerField(null=True)
yield_Q30 = models.BigIntegerField(null=True)
qscore_sum = models.BigIntegerField(null=True)
r1_yield = models.BigIntegerField(null=True)
r1_Q30 = models.BigIntegerField(null=True)
r1_trimmed_bases = models.BigIntegerField(null=True)
r2_yield = models.BigIntegerField(null=True)
r2_Q30 = models.BigIntegerField(null=True)
r2_trimmed_bases = models.BigIntegerField(null=True)
pct_Q30 = models.FloatField(null=True)
pct_perfect_index = models.FloatField(null=True)
mean_qscore = models.FloatField(null=True)
class Meta:
app_label = "trend_monitoring"
db_table = "bcl2fastq_data"