Support MAFFT input alignments

sc2ts/core.py

@@ -107,6 +107,7 @@ def __init__(self, path, add_zero_base=True):
     def __getitem__(self, key):
         x = self.reader[key]
         h = np.array(x).astype(str)
+        h = np.char.upper(h)
         if self.add_zero_base:
             return np.append(["X"], h)
         return h

sc2ts/dataset.py

@@ -178,7 +178,7 @@ class Variant:
 
 class Dataset(collections.abc.Mapping):
 
-    def __init__(self, path, chunk_cache_size=1, date_field="date"):
+    def __init__(self, path, chunk_cache_size=1, date_field="date", skip_metadata=False):
         logger.info(f"Loading dateset @{path} using {date_field} as date field")
         self.date_field = date_field
         self.path = pathlib.Path(path)
@@ -196,9 +196,13 @@ def __init__(self, path, chunk_cache_size=1, date_field="date"):
         self.haplotypes = CachedHaplotypeMapping(
             self.root, self.sample_id_map, chunk_cache_size
         )
-        self.metadata = CachedMetadataMapping(
-            self.root, self.sample_id_map, date_field, chunk_cache_size=chunk_cache_size
-        )
+        if not skip_metadata:
+            self.metadata = CachedMetadataMapping(
+                self.root,
+                self.sample_id_map,
+                date_field,
+                chunk_cache_size=chunk_cache_size,
+            )
 
     def __getitem__(self, key):
         return self.root[key]

tests/conftest.py

@@ -29,6 +29,17 @@ def fx_alignments_fasta(fx_data_cache):
     return cache_path
 
 
+@pytest.fixture
+def fx_alignments_mafft_fasta(fx_data_cache):
+    # This is bgzipped so we can access directly
+    cache_path = fx_data_cache / "alignments-mafft.fasta"
+    if not cache_path.exists():
+        with gzip.open("tests/data/alignments-mafft.fasta.gz") as src:
+            with open(cache_path, "wb") as dest:
+                shutil.copyfileobj(src, dest)
+    return cache_path
+
+
 def encoded_alignments(path):
     fr = sc2ts.FastaReader(path)
     alignments = {}
@@ -37,6 +48,11 @@ def encoded_alignments(path):
     return alignments
 
 
+@pytest.fixture
+def fx_encoded_alignments_mafft(fx_alignments_mafft_fasta):
+    return encoded_alignments(fx_alignments_mafft_fasta)
+
+
 @pytest.fixture
 def fx_encoded_alignments(fx_alignments_fasta):
     return encoded_alignments(fx_alignments_fasta)
@@ -258,7 +274,9 @@ def recombinant_example_2(tmp_path, fx_ts_map, fx_dataset, ds_path):
     date = "2020-03-02"
     left = start + 3 + 1
     right = end - 3 + 1
-    ds = sc2ts.tmp_dataset(tmp_path / "tmp.zarr", {f"recombinant_{left}:{right}": a}, date=date)
+    ds = sc2ts.tmp_dataset(
+        tmp_path / "tmp.zarr", {f"recombinant_{left}:{right}": a}, date=date
+    )
     rts = sc2ts.extend(
         dataset=ds.path,
         base_ts=ts_path,
@@ -267,6 +285,7 @@ def recombinant_example_2(tmp_path, fx_ts_map, fx_dataset, ds_path):
     )
     return rts
 
+
 def recombinant_example_3(tmp_path, fx_ts_map, fx_dataset, ds_path):
     # Pick a distinct strain to be the root of our three new haplotypes added
     # on the first day.
@@ -286,7 +305,7 @@ def recombinant_example_3(tmp_path, fx_ts_map, fx_dataset, ds_path):
     mid_a = a.copy()
     mid_start = 15_000
     mid_end = 15_009
-    mid_a[mid_start: mid_end] = 1 # "C"
+    mid_a[mid_start:mid_end] = 1  # "C"
 
     a = mid_a.copy()
     a[start : start + 3] = left_a[start : start + 3]
@@ -315,7 +334,7 @@ def recombinant_example_3(tmp_path, fx_ts_map, fx_dataset, ds_path):
         mut = ts.mutation(mut_id)
         assert mut.derived_state == "G"
         assert ts.sites_position[mut.site] == start + j + 1
-    
+
     for j, mut_id in enumerate(np.where(ts.mutations_node == mid_node)[0]):
         mut = ts.mutation(mut_id)
         assert mut.derived_state == "C"
@@ -345,6 +364,7 @@ def recombinant_example_3(tmp_path, fx_ts_map, fx_dataset, ds_path):
     assert rts.num_samples == ts.num_samples + 1
     return rts
 
+
 @pytest.fixture
 def fx_recombinant_example_1(tmp_path, fx_data_cache, fx_ts_map, fx_dataset):
     cache_path = fx_data_cache / "recombinant_ex1.ts"
@@ -366,6 +386,7 @@ def fx_recombinant_example_2(tmp_path, fx_data_cache, fx_ts_map, fx_dataset):
         ts.dump(cache_path)
     return tskit.load(cache_path)
 
+
 @pytest.fixture
 def fx_recombinant_example_3(tmp_path, fx_data_cache, fx_ts_map, fx_dataset):
     cache_path = fx_data_cache / "recombinant_ex3.ts"

tests/test_dataset.py

@@ -277,6 +277,22 @@ def test_date_field(self, fx_dataset):
         assert len(diffs) == 6
 
 
+class TestMafftAlignments:
+
+    def test_import(self, tmp_path, fx_encoded_alignments_mafft):
+        path = tmp_path / "dataset.vcz"
+        sc2ts.Dataset.new(path)
+        sc2ts.Dataset.append_alignments(path, fx_encoded_alignments_mafft)
+        ds = sc2ts.Dataset(path, skip_metadata=True)
+        assert len(ds.haplotypes) == 19
+        for k, v in fx_encoded_alignments_mafft.items():
+            h = ds.haplotypes[k]
+            nt.assert_array_equal(v, h)
+            # The flanks are marked as deletions
+            assert h[0] == 4
+            assert h[-1] == 4
+
+
 class TestDatasetAlignments:
 
     def test_fetch_known(self, fx_dataset):