def test_cumulative_count_distribution(self):
# load file
ac = ADAMContext(self.ss)
testFile = self.resourceFile("small.sam")
# read alignments
reads = ac.loadAlignments(testFile)
# convert to coverage
coverage = reads.toCoverage()
qc = CoverageDistribution(self.ss, coverage)
_, cd = qc.plotDistributions(testMode = True, cumulative = True, normalize = False)
# first sample
items = list(cd.popitem()[1])
assert(len(items) == 1)
assert(items.pop()[1] == 1500)
_, cd = qc.plotDistributions(testMode = True, cumulative = False, normalize = False)
# first sample
items = list(cd.popitem()[1])
assert(len(items) == 1)
assert(items.pop()[1] == 1500)
def __init__(self, sc, build='hg19'):
"""
Initializes a GenomicRDD viz class.
"""
self.ac = ADAMContext(sc)
self.build = build
self.chrPrefix = 'chr'
def test_collapse(self):
testFile = self.resourceFile("sorted.sam")
ac = ADAMContext(self.sc)
reads = ac.loadAlignments(testFile)
coverage = reads.toCoverage()
collapsed = coverage.collapse()
self.assertEquals(collapsed.toDF().count(), coverage.toDF().count())
def test_flatten(self):
testFile = self.resourceFile("small.sam")
ac = ADAMContext(self.sc)
reads = ac.loadAlignments(testFile)
coverage = reads.toCoverage()
flattened = coverage.flatten()
self.assertEquals(flattened.toDF().count(), 1500)
def test_aggregatedCoverage(self):
testFile = self.resourceFile("small.sam")
ac = ADAMContext(self.sc)
reads = ac.loadAlignments(testFile)
coverage = reads.toCoverage()
collapsed = coverage.aggregatedCoverage(10)
self.assertEquals(collapsed.toDF().count(), 166)
def test_load_coverage(self):
testFile = self.resourceFile("sample_coverage.bed")
ac = ADAMContext(self.sc)
coverage = ac.loadCoverage(testFile)
self.assertEqual(coverage.toDF().count(), 3)
def test_load_genotypes(self):
testFile = self.resourceFile("small.vcf")
ac = ADAMContext(self.ss)
reads = ac.loadGenotypes(testFile)
self.assertEqual(reads.toDF().count(), 18)
self.assertEqual(reads._jvmRdd.jrdd().count(), 18)
def test_load_dna_sequences(self):
testFile = self.resourceFile("HLA_DQB1_05_01_01_02.fa")
ac = ADAMContext(self.ss)
sequences = ac.loadDnaSequences(testFile)
self.assertEqual(sequences.toDF().count(), 1)
self.assertEqual(sequences._jvmDataset.jrdd().count(), 1)
def test_load_slices(self):
testFile = self.resourceFile("HLA_DQB1_05_01_01_02.fa")
ac = ADAMContext(self.ss)
slices = ac.loadSlices(testFile, 10000)
self.assertEqual(slices.toDF().count(), 1)
self.assertEqual(slices._jvmDataset.jrdd().count(), 1)
def test_load_interval_list(self):
testFile = self.resourceFile("SeqCap_EZ_Exome_v3.hg19.interval_list")
ac = ADAMContext(self.ss)
reads = ac.loadFeatures(testFile)
self.assertEqual(reads.toDF().count(), 369)
self.assertEqual(reads._jvmRdd.jrdd().count(), 369)
def test_to_fragments(self):
readsPath = self.resourceFile("unsorted.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(readsPath)
fragments = reads.toFragments()
self.assertEqual(fragments.toDF().count(), 5)
def test_VariantsPerSampleDistribution(self):
ac = ADAMContext(self.ss)
testFile = self.resourceFile("genodata.v3.test.vcf")
genotypes = ac.loadGenotypes(testFile)
_, data = VariantsPerSampleDistribution(self.ss, genotypes).plotDistributions(testMode= True)
expected = [6, 8, 8, 1, 7, 8]
assert(sum(data) == sum(expected))
def test_load_bed(self):
testFile = self.resourceFile("gencode.v7.annotation.trunc10.bed")
ac = ADAMContext(self.ss)
reads = ac.loadFeatures(testFile)
self.assertEqual(reads.toDF().count(), 10)
self.assertEqual(reads._jvmRdd.jrdd().count(), 10)
def test_transform(self):
testFile = self.resourceFile("random.vcf")
ac = ADAMContext(self.sc)
genotypes = ac.loadGenotypes(testFile)
transformedGenotypes = genotypes.transform(lambda x: x.filter(x.contigName == '1'))
self.assertEquals(transformedGenotypes.toDF().count(), 9)
def test_load_gtf(self):
testFile = self.resourceFile("Homo_sapiens.GRCh37.75.trun20.gtf")
ac = ADAMContext(self.ss)
reads = ac.loadFeatures(testFile)
self.assertEqual(reads.toDF().count(), 15)
self.assertEqual(reads._jvmRdd.jrdd().count(), 15)
def test_load_alignments(self):
testFile = self.resourceFile("small.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(testFile)
self.assertEqual(reads.toDF().count(), 20)
self.assertEqual(reads._jvmRdd.jrdd().count(), 20)
def test_load_variants(self):
testFile = self.resourceFile("small.vcf")
ac = ADAMContext(self.sc)
reads = ac.loadVariants(testFile)
self.assertEqual(reads.toDF().count(), 6)
self.assertEqual(reads._jvmRdd.jrdd().count(), 6)
def test_count_kmers(self):
testFile = self.resourceFile("small.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(testFile)
kmers = reads.countKmers(6)
self.assertEqual(kmers.count(), 1040)
def test_load_contig_fragments(self):
testFile = self.resourceFile("HLA_DQB1_05_01_01_02.fa")
ac = ADAMContext(self.sc)
reads = ac.loadContigFragments(testFile)
self.assertEqual(reads.toDF().count(), 1)
self.assertEqual(reads._jvmRdd.jrdd().count(), 1)
def test_load_indexed_bam(self):
testFile = self.resourceFile("indexed_bams/sorted.bam")
ac = ADAMContext(self.ss)
reads = ac.loadIndexedBam(testFile,
[ReferenceRegion("chr2", 100, 101),
ReferenceRegion("3", 10, 17)])
self.assertEqual(reads.toDF().count(), 2)
def test_GenotypeCallRatesDistribution(self):
ac = ADAMContext(self.ss)
testFile = self.resourceFile("genodata.v3.test.vcf")
genotypes = ac.loadGenotypes(testFile)
_, data = GenotypeCallRatesDistribution(self.ss, genotypes, sample=1.0).plot(testMode= True)
expected = sorted([0.95, 0.88, 0.89, 0.94, 0.93, 0.90])
sorted_data = sorted(data)
assert( expected == [ round(x,2) for x in sorted_data] )
def test_transform(self):
featurePath = self.resourceFile("gencode.v7.annotation.trunc10.bed")
ac = ADAMContext(self.ss)
features = ac.loadFeatures(featurePath)
transformedFeatures = features.transform(lambda x: x.filter(x.start < 12613))
self.assertEquals(transformedFeatures.toDF().count(), 6)
def test_transform(self):
readsPath = self.resourceFile("unsorted.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(readsPath)
transformedReads = reads.transform(lambda x: x.filter(x.referenceName == "1"))
self.assertEqual(transformedReads.toDF().count(), 1)
def test_transform(self):
variantPath = self.resourceFile("small.vcf")
ac = ADAMContext(self.ss)
variants = ac.loadVariants(variantPath)
transformedVariants = variants.transform(lambda x: x.filter(x.start < 19190))
self.assertEquals(transformedVariants.toDF().count(), 3)
def test_save_unordered_sam(self):
testFile = self.resourceFile("unordered.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(testFile)
tmpPath = self.tmpFile() + ".sam"
reads.saveAsSam(tmpPath, asSingleFile=True)
self.checkFiles(testFile, tmpPath)
def test_HetHomRatioDistribution(self):
ac = ADAMContext(self.ss)
testFile = self.resourceFile("genodata.v3.test.vcf")
genotypes = ac.loadGenotypes(testFile)
_, data = HetHomRatioDistribution(self.ss, genotypes, sample=1.0).plot(testMode= True)
expected = sorted([5.0, 0.6, 0.14, 0.17, 1.67])
sorted_data = sorted(data)
assert( expected == [ round(x,2) for x in sorted_data ])
def test_load_narrowPeak(self):
testFile = self.resourceFile("wgEncodeOpenChromDnaseGm19238Pk.trunc10.narrowPeak")
ac = ADAMContext(self.ss)
reads = ac.loadFeatures(testFile)
self.assertEqual(reads.toDF().count(), 10)
self.assertEqual(reads._jvmRdd.jrdd().count(), 10)
def test_realignIndels_reads(self):
readsPath = self.resourceFile("small.1.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(readsPath)
realigned = reads.realignIndels()
self.assertEqual(realigned.toDF().count(), 20)
def test_toFeatures(self):
testFile = self.resourceFile("sorted.sam")
ac = ADAMContext(self.sc)
reads = ac.loadAlignments(testFile)
coverage = reads.toCoverage()
features = coverage.toFeatures()
assert (isinstance(features, FeatureRDD))
self.assertEquals(features.toDF().count(), coverage.toDF().count())
def test_save(self):
testFile = self.resourceFile("sorted.sam")
ac = ADAMContext(self.ss)
reads = ac.loadAlignments(testFile)
coverage = reads.toCoverage()
tmpPath = self.tmpFile() + ".coverage.adam"
coverage.save(tmpPath, asSingleFile=True, disableFastConcat=True)
assert (os.listdir(tmpPath) != [])
