forked from OmicsPred/omicspred_backend
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy path0001_initial.py
More file actions
426 lines (420 loc) · 29.3 KB
/
Copy path0001_initial.py
File metadata and controls
426 lines (420 loc) · 29.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
# Generated by Django 6.0.6 on 2026-07-03 13:41
import django.contrib.postgres.fields.ranges
import django.core.validators
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Cohort',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name_short', models.CharField(db_index=True, max_length=100, verbose_name='Cohort Short Name')),
('name_full', models.CharField(max_length=1000, verbose_name='Cohort Full Name')),
('name_others', models.TextField(null=True, verbose_name='Previous/other/additional names (e.g. sub-cohorts)')),
('url', models.CharField(max_length=100, verbose_name='Cohort URL')),
('description', models.TextField(null=True, verbose_name='Cohort additional information')),
],
),
migrations.CreateModel(
name='Dataset',
fields=[
('num', models.IntegerField(primary_key=True, serialize=False, verbose_name='Dataset Number (OPD)')),
('id', models.CharField(db_index=True, max_length=20, verbose_name='Dataset ID (OPD)')),
('name', models.CharField(max_length=150, null=True, verbose_name='Dataset name')),
('omics_count', models.IntegerField(verbose_name='Omics Entities count')),
('omics_type', models.CharField(max_length=50, verbose_name='Omics type')),
('method_name', models.TextField(verbose_name='Score Development Method')),
('training_window', models.CharField(choices=[('', ''), ('genome-wide', 'Genome-wide'), ('cis-only', 'Cis-only')], db_index=True, default='', max_length=25)),
('scores_count', models.IntegerField(verbose_name='Associated Scores count')),
('phewas_count', models.IntegerField(default=0, verbose_name='Associated PheWAS data count')),
('files_ids', models.JSONField(default=dict, verbose_name='Files IDs on Box')),
('license', models.TextField(default='Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)', verbose_name='License/Terms of Use')),
],
options={
'get_latest_by': 'num',
},
),
migrations.CreateModel(
name='ExternalSource',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=50, verbose_name='External Source Name')),
('version', models.CharField(max_length=50, null=True, verbose_name='External Source Version')),
('url', models.CharField(max_length=100, verbose_name='External Source URL')),
],
),
migrations.CreateModel(
name='Pathway',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
('parent_external_id', models.CharField(max_length=100, null=True, verbose_name='External ID(s) of parent pathway(s)')),
('top_level', models.BooleanField(default=False, verbose_name='Top level pathway')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='PathwayOld',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Platform',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=100, verbose_name='Platform name')),
('version', models.CharField(max_length=50, verbose_name='Platform version')),
],
),
migrations.CreateModel(
name='PlatformMaster',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=100, verbose_name='Platform name')),
('full_name', models.CharField(max_length=100, verbose_name='Platform full name')),
('technique', models.CharField(max_length=100, verbose_name='Platform technique')),
('type', models.CharField(max_length=100, verbose_name='Platform type')),
],
),
migrations.CreateModel(
name='Publication',
fields=[
('num', models.IntegerField(primary_key=True, serialize=False, verbose_name='Publication Number (OPP)')),
('id', models.CharField(db_index=True, max_length=20, verbose_name='Publication ID (OPP)')),
('pmid', models.IntegerField(null=True, verbose_name='PubMed ID (PMID)')),
('doi', models.CharField(max_length=100, null=True, verbose_name='digital object identifier (doi)')),
('journal', models.CharField(max_length=100, verbose_name='Journal Name')),
('firstauthor', models.CharField(max_length=50, verbose_name='First Author')),
('authors', models.TextField(verbose_name='Authors')),
('title', models.TextField(verbose_name='Title')),
('date_publication', models.DateField(verbose_name='Publication Date')),
('date_released', models.DateField(db_index=True, null=True, verbose_name='OmicsPred Release Date')),
('publication_type', models.CharField(choices=[('Genetic Score', 'Genetic Score'), ('PheWAS', 'PheWAS'), ('Genetic Score and PheWAS', 'Genetic Score and PheWAS')], db_index=True, default='Genetic Score', max_length=40)),
('curation_status', models.CharField(choices=[('C', 'Curated'), ('ID', 'Curated - insufficient data'), ('IP', 'Curation in Progress'), ('AW', 'Awaiting Curation'), ('E', 'Embargoed')], default='AW', max_length=2, verbose_name='Curation Status')),
('curation_notes', models.TextField(default='', verbose_name='Curation Notes')),
],
options={
'get_latest_by': 'num',
},
),
migrations.CreateModel(
name='Score',
fields=[
('num', models.IntegerField(primary_key=True, serialize=False, verbose_name='OmicsPred Number')),
('id', models.CharField(db_index=True, max_length=30, verbose_name='OmicsPred ID')),
('name', models.CharField(max_length=100, null=True, verbose_name='OmicsPred Name')),
('trait_reported', models.TextField(null=True, verbose_name='Reported Trait')),
('trait_reported_id', models.CharField(null=True, verbose_name='Reported Trait ID')),
('method_name', models.TextField(verbose_name='Score Development Method')),
('method_params', models.TextField(null=True, verbose_name='Score Development Details/Relevant Parameters')),
('variants_number', models.IntegerField(validators=[django.core.validators.MinValueValidator(1)], verbose_name='Number of Variants')),
('variants_interactions', models.IntegerField(default=0, verbose_name='Number of Interaction Terms')),
('variants_genomebuild', models.CharField(default='NR', max_length=10, verbose_name='Original Genome Build')),
('ancestry', models.JSONField(null=True, verbose_name='Ancestry distribution')),
('comment', models.TextField(null=True, verbose_name='Additional comment')),
('license', models.TextField(default='Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)', verbose_name='License/Terms of Use')),
],
),
migrations.CreateModel(
name='Species',
fields=[
('taxonomy_id', models.IntegerField(primary_key=True, serialize=False, verbose_name='NCBI Taxonomy ID')),
('name', models.CharField(max_length=100, verbose_name='Common name')),
('name_latin', models.CharField(max_length=100, verbose_name='Latin name')),
],
),
migrations.CreateModel(
name='SuperPathway',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Gene',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
('biotype', models.CharField(max_length=100, null=True, verbose_name='Gene biotype')),
('retired_gene_model', models.BooleanField(default=False, verbose_name='Retired Gene ID/model')),
('pathways', models.ManyToManyField(related_name='pathway_genes', to='omicspred.pathway', verbose_name='Pathway(s)')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Metabolite',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
('pathways', models.ManyToManyField(related_name='pathway_metabolites', to='omicspred.pathway', verbose_name='Pathway(s)')),
('pathway_group', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='pathway_group_metabolite', to='omicspred.pathwayold', verbose_name='Associated Pathway Group')),
('pathway_subgroup', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='pathway_subgroup_metabolite', to='omicspred.pathwayold', verbose_name='Associated Pathway Subgroup')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='Performance',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('eval_type', models.CharField(choices=[('T', 'Training'), ('IV', 'Independent Validation'), ('EV', 'External Validation'), ('E', 'Evaluation')], default='', max_length=25, verbose_name='Evaluation Type')),
('performance_additional', models.TextField(default='', verbose_name='Additional Information')),
('source_gwas_catalog', models.CharField(max_length=20, null=True, verbose_name='GWAS Catalog Study ID (GCST...)')),
('source_doi', models.CharField(max_length=100, null=True, verbose_name='Source DOI')),
('covariates', models.TextField(null=True, verbose_name='Covariates Included in the Performance')),
('cohort_label', models.CharField(default='', max_length=100, verbose_name='Cohort label')),
('curation_notes', models.TextField(default='', verbose_name='Curation Notes')),
('dataset', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='dataset_performance', to='omicspred.dataset', verbose_name='Dataset')),
],
),
migrations.CreateModel(
name='Metric',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('type', models.CharField(choices=[('PC', "Pearson's correlation"), ('SC', "Spearman's rank correlation")], db_index=True, default='Metric Type', max_length=40)),
('name', models.CharField(max_length=100, verbose_name='Performance Metric Name')),
('name_short', models.CharField(max_length=20, null=True, verbose_name='Performance Metric Name (Short)')),
('source', models.CharField(max_length=100, null=True, verbose_name='Performance Metric Source')),
('estimate', models.FloatField(verbose_name='Estimate')),
('pvalue', models.FloatField(null=True, verbose_name='p-value')),
('performance', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='performance_metric', to='omicspred.performance', verbose_name='PGS Performance Metric (PPM)')),
],
),
migrations.CreateModel(
name='Phenotype',
fields=[
('id', models.CharField(max_length=30, primary_key=True, serialize=False, verbose_name='Phenotype ID')),
('label', models.CharField(max_length=150, verbose_name='Phenotype Label')),
('description', models.TextField(null=True, verbose_name='Phenotype Description')),
('category', models.CharField(max_length=100, verbose_name='Phenotype Category')),
('url', models.CharField(max_length=500, verbose_name='Ontology URL')),
('source', models.CharField(max_length=100, null=True, verbose_name='Phenotype Source')),
('traits_reported', models.JSONField(null=True, verbose_name='Reported/mapped traits')),
('phewas_count', models.IntegerField(default=0, verbose_name='Associated PheWAS data count')),
('child_phenotype', models.ManyToManyField(related_name='parent_phenotype', to='omicspred.phenotype', verbose_name='Children Phenotype')),
],
),
migrations.AddField(
model_name='dataset',
name='platform',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='platform_dataset', to='omicspred.platform', verbose_name='Platform'),
),
migrations.AddField(
model_name='platform',
name='platform_master',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='platform_version', to='omicspred.platformmaster', verbose_name='Platform'),
),
migrations.CreateModel(
name='Protein',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
('gene', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='gene_protein', to='omicspred.gene', verbose_name='Associated Gene')),
('pathways', models.ManyToManyField(related_name='pathway_proteins', to='omicspred.pathway', verbose_name='Pathway(s)')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='dataset',
name='publication',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='datasets', to='omicspred.publication', verbose_name='Publication'),
),
migrations.CreateModel(
name='Sample',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('platform_version', models.CharField(max_length=50, verbose_name='Platform version')),
('tissue_name', models.CharField(max_length=100, null=True, verbose_name='Tissue name')),
('sample_number', models.IntegerField(null=True, verbose_name='Number of Individuals')),
('sample_cases', models.IntegerField(null=True, verbose_name='Number of Cases')),
('sample_controls', models.IntegerField(null=True, verbose_name='Number of Controls')),
('sample_percent_male', models.FloatField(null=True, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(100)], verbose_name='Percent of Participants Who are Male')),
('sample_age', models.FloatField(null=True, verbose_name='Sample Age')),
('sample_age_sd', models.FloatField(null=True, verbose_name='Mean standard deviation of Age')),
('ancestry_broad', models.CharField(max_length=250, verbose_name='Broad Ancestry Category')),
('ancestry_free', models.TextField(null=True, verbose_name='Ancestry (e.g. French, Chinese)')),
('ancestry_country', models.TextField(null=True, verbose_name='Country of Recruitment')),
('ancestry_additional', models.TextField(null=True, verbose_name='Additional Ancestry Description')),
('ancestry_assignment', models.CharField(choices=[('SR', 'Self reported'), ('GS', 'Genetic similarity'), ('GSR', 'Genetic similarity to reference panel'), ('AS', 'Author statement - no method reported'), ('INF', 'Curator inferred ancestry label from cohort description (e.g. country of recruitment)'), ('NR', 'No population descriptor or inferrable CoR provided')], default='SR', max_length=4)),
('source_gwas_catalog', models.CharField(max_length=20, null=True, verbose_name='GWAS Catalog Study ID (GCST...)')),
('source_pmid', models.IntegerField(null=True, verbose_name='Source PubMed ID (PMID)')),
('source_doi', models.CharField(max_length=100, null=True, verbose_name='Source DOI')),
('cohorts_additional', models.TextField(null=True, verbose_name='Additional Sample/Cohort Information')),
('cohorts', models.ManyToManyField(related_name='cohorts_sample', to='omicspred.cohort', verbose_name='Cohort(s)')),
],
),
migrations.AddField(
model_name='performance',
name='sample',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='sample_performance', to='omicspred.sample', verbose_name='Performance Sample'),
),
migrations.AddField(
model_name='dataset',
name='samples_training',
field=models.ManyToManyField(related_name='samples_training_dataset', to='omicspred.sample', verbose_name='Training sample(s)'),
),
migrations.AddField(
model_name='dataset',
name='samples_validation',
field=models.ManyToManyField(related_name='samples_validation_dataset', to='omicspred.sample', verbose_name='Validation sample(s)'),
),
migrations.CreateModel(
name='SourceAnnotations',
fields=[
('score', models.OneToOneField(on_delete=django.db.models.deletion.PROTECT, primary_key=True, related_name='source_annotation_score', serialize=False, to='omicspred.score', verbose_name='OmicsPred Score')),
('annotations', models.JSONField(default=dict, verbose_name='Annotations')),
],
),
migrations.AddField(
model_name='score',
name='dataset',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='dataset_score', to='omicspred.dataset', verbose_name='Dataset'),
),
migrations.AddField(
model_name='score',
name='genes',
field=models.ManyToManyField(related_name='gene_score', to='omicspred.gene', verbose_name='Gene(s)'),
),
migrations.AddField(
model_name='score',
name='metabolites',
field=models.ManyToManyField(related_name='metabolite_score', to='omicspred.metabolite', verbose_name='Metabolite(s)'),
),
migrations.AddField(
model_name='score',
name='proteins',
field=models.ManyToManyField(related_name='protein_score', to='omicspred.protein', verbose_name='Protein(s)'),
),
migrations.AddField(
model_name='performance',
name='score',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='score_performance', to='omicspred.score', verbose_name='Score'),
),
migrations.CreateModel(
name='ScorePheWAS',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('method_description', models.TextField(null=True, verbose_name='PheWAS Method Description')),
('trait_reported', models.TextField(null=True, verbose_name='Reported Trait')),
('ancestry', models.JSONField(null=True, verbose_name='Ancestry distribution')),
('hr', models.FloatField(null=True, verbose_name='Hazard Ratio')),
('hr_ci', django.contrib.postgres.fields.ranges.DecimalRangeField(null=True, verbose_name='Hazard Ratio Confidence Interval')),
('adjusted_pvalue', models.FloatField(null=True, verbose_name='Adjusted P-value')),
('adjusted_pvalue_method', models.CharField(max_length=100, null=True, verbose_name='Adjusted P-value Method')),
('zscore', models.FloatField(null=True, verbose_name='Standard score (Z-score)')),
('pvalue', models.FloatField(null=True, verbose_name='P-value')),
('bonferroni', models.FloatField(null=True, verbose_name='Bonferroni adjusted P-value')),
('effect_size', models.FloatField(null=True, verbose_name='Effect size (gene)')),
('var_gene_exp', models.FloatField(null=True, verbose_name='Variance of the gene expression')),
('variants_number_used', models.IntegerField(null=True, verbose_name='Number of variants used')),
('variants_fraction_found', models.FloatField(null=True, verbose_name='Fraction of variants found')),
('dataset', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='dataset_phewas', to='omicspred.dataset', verbose_name='Dataset')),
('phenotypes', models.ManyToManyField(related_name='phenotype_scores', to='omicspred.phenotype', verbose_name='Phenotype(s)')),
('publication', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='score_phewas_publication', to='omicspred.publication', verbose_name='PheWAS Publication')),
('samples', models.ManyToManyField(related_name='sample_scores', to='omicspred.sample', verbose_name='Sample(s)')),
('score', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='score_phewas', to='omicspred.score', verbose_name='Score')),
],
),
migrations.AddField(
model_name='score',
name='species',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='species_score', to='omicspred.species', verbose_name='Species'),
),
migrations.AddField(
model_name='dataset',
name='species',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='species_dataset', to='omicspred.species', verbose_name='Species'),
),
migrations.AddField(
model_name='pathway',
name='superpathways',
field=models.ManyToManyField(related_name='subpathway', to='omicspred.superpathway', verbose_name='SuperPathway(s)'),
),
migrations.CreateModel(
name='Tissue',
fields=[
('id', models.CharField(max_length=30, primary_key=True, serialize=False, verbose_name='Ontology ID')),
('label', models.CharField(db_index=True, max_length=500, verbose_name='Ontology Label')),
('description', models.TextField(null=True, verbose_name='Tissue/Trait Description')),
('url', models.CharField(max_length=500, verbose_name='Ontology URL')),
('type', models.CharField(max_length=100, null=True, verbose_name='Entry type')),
('child_efos', models.ManyToManyField(related_name='parent_efos', to='omicspred.tissue', verbose_name='Children Ontology Entry')),
],
),
migrations.AddField(
model_name='dataset',
name='tissue',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, related_name='tissue_dataset', to='omicspred.tissue', verbose_name='Tissue'),
),
migrations.CreateModel(
name='Transcript',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(db_index=True, max_length=150, null=True, verbose_name='Molecular trait name')),
('description', models.TextField(null=True, verbose_name='Description')),
('external_id', models.CharField(db_index=True, max_length=100, null=True, verbose_name='External ID')),
('external_id_source', models.CharField(max_length=100, null=True, verbose_name='External ID source')),
('synonyms', models.JSONField(null=True, verbose_name='Synonyms')),
('xrefs', models.JSONField(null=True, verbose_name='External references')),
('biotype', models.CharField(max_length=100, null=True, verbose_name='Gene biotype')),
('gene', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='gene_transcript', to='omicspred.gene', verbose_name='Associated Gene')),
],
options={
'abstract': False,
},
),
migrations.AddField(
model_name='score',
name='transcripts',
field=models.ManyToManyField(related_name='transcript_score', to='omicspred.transcript', verbose_name='Transcript(s)'),
),
]