Ejemplo n.º 1
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    def test_match_monoexonic(self):
        """ Test the permissive match strategy on a monoexonic transcript """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr2"
        pos = [920, 970]
        start = pos[0]
        splice_pos = pos[1]
        run_info.cutoff_5p = 500
        run_info.cutoff_3p = 500
        strand = "+"

        start_match, start_diff = talon.permissive_vertex_search(
            chrom, start, strand, splice_pos, "start", location_dict, run_info)
        end = pos[1]
        splice_pos = pos[0]
        end_match, end_diff = talon.permissive_vertex_search(
            chrom, end, strand, splice_pos, "end", location_dict, run_info)

        assert start_match == fetch_correct_vertex_ID(chrom, 900, cursor)
        assert start_diff == 20
        assert end_match == fetch_correct_vertex_ID(chrom, 1000, cursor)
        assert end_diff == -30
        conn.close()
Ejemplo n.º 2
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    def test_with_novel_location(self):
        """ Example where the toy transcript database contains a novel position.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        orig_vertex_count = talon.vertex_counter.value()
        orig_n_locations = len(location_dict["chr1"])
        conn.close()

        chrom = "chr1"
        strand = "+"
        pos = [1, 150, 500, 600, 900, 1000]
        vertex_IDs, novelty = talon.match_splice_vertices(chrom, pos, 
                                                                  strand,
                                                                  location_dict, 
                                                                  run_info)

        # Make sure that no match got returned
        new_vertex_count = talon.vertex_counter.value()
        assert vertex_IDs == [ new_vertex_count, 3, 4, 5]
       
        # Make sure the data structures got updated
        assert new_vertex_count == orig_vertex_count + 1
        assert len(location_dict["chr1"]) == orig_n_locations + 1
Ejemplo n.º 3
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    def test_monoexonic_edge_case(self):
        """ Case I observed during testing where start and end accidentally 
            ended up being assigned to the same vertex """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [550, 610]
        start = pos[0]
        splice_pos = pos[1]
        run_info.cutoff_5p = 500
        run_info.cutoff_3p = 500
        strand = "+"

        start_match, start_diff = talon.permissive_vertex_search(
            chrom, start, strand, splice_pos, "start", location_dict, run_info)

        end = pos[1]
        splice_pos = pos[0]
        end_match, end_diff = talon.permissive_vertex_search(
            chrom, end, strand, splice_pos, "end", location_dict, run_info)

        assert start_match == 3
        assert end_match == 4
Ejemplo n.º 4
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    def test_ISM_prefix(self):
        """ Example where the transcript is a prefix ISM with a novel start
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        run_info = talon.init_run_info(database, build)
        talon.get_counters(database)

        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr1"
        strand = "+"
        positions = [1, 100, 500, 600]
        edge_IDs = [2]
        vertex_IDs = [2, 3]
        v_novelty = [0, 0]

        all_matches = talon.search_for_ISM(edge_IDs, transcript_dict)
        gene_ID, transcript_ID, novelty, start_end_info = talon.process_ISM(
            chrom, positions, strand, edge_IDs, vertex_IDs, all_matches,
            transcript_dict, gene_starts, gene_ends, edge_dict, location_dict,
            run_info)

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        assert gene_ID == correct_gene_ID
        assert start_end_info["vertex_IDs"] == [1, 2, 3, 4]
        assert start_end_info["edge_IDs"] == [1, 2, 3]
        conn.close()
Ejemplo n.º 5
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    def test_NIC_instead_of_ISM(self):
        """ Test case where the transcript looks like an ISM, but is NIC on
            account of having known starts and ends """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)

        init_refs.make_temp_novel_gene_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr3"
        strand = "+"
        positions = (800, 1000, 1200, 1400, 1600, 1800, 2000, 2200)

        annotation = talon.identify_transcript(chrom, positions, strand,
                                               cursor, location_dict,
                                               edge_dict, transcript_dict,
                                               vertex_2_gene, gene_starts,
                                               gene_ends, run_info, "tmp_gene")

        correct_gene_ID = fetch_correct_ID("TG5", "gene", cursor)
        novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert annotation['gene_ID'] == correct_gene_ID
        assert "NIC_transcript" in novelty_types
        conn.close()
Ejemplo n.º 6
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    def test_FSM_perfect(self):
        """ Example where the transcript is a perfect full splice match.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        init_refs.make_temp_novel_gene_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr1"
        strand = "+"
        positions = [1, 100, 500, 600, 900, 1000]

        annotation = talon.identify_transcript(chrom, positions, strand,
                                               cursor, location_dict,
                                               edge_dict, transcript_dict,
                                               vertex_2_gene, gene_starts,
                                               gene_ends, run_info,
                                               "temp_gene")

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        correct_transcript_ID = fetch_correct_ID("TG1-001", "transcript",
                                                 cursor)
        assert annotation['gene_ID'] == correct_gene_ID
        assert annotation['transcript_ID'] == correct_transcript_ID
        assert annotation['transcript_novelty'] == []
        conn.close()
Ejemplo n.º 7
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    def test_no_match(self):
        """ Example with no ISM match """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        run_info = talon.init_run_info(database, build)
        talon.get_counters(database)

        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr1"
        strand = "+"
        positions = [1, 100, 900, 1000]
        edge_IDs = [200]
        vertex_IDs = [2, 5]
        v_novelty = [0, 0]

        all_matches = talon.search_for_ISM(edge_IDs, transcript_dict)
        assert all_matches == None
        conn.close()
Ejemplo n.º 8
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    def test_FSM_end_diff(self):
        """ Example where the transcript is an FSM but has a difference on
            the ends large enough to be novel.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)

        init_refs.make_temp_novel_gene_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr2"
        strand = "+"
        positions = [1, 100, 500, 600, 900, 1500]

        annotation = talon.identify_transcript(chrom, positions, strand,
                                               cursor, location_dict,
                                               edge_dict, transcript_dict,
                                               vertex_2_gene, gene_starts,
                                               gene_ends, run_info,
                                               "temp_gene")

        correct_gene_ID = fetch_correct_ID("TG2", "gene", cursor)
        novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert annotation['gene_ID'] == correct_gene_ID
        assert annotation['end_delta'] == None
        conn.close()
Ejemplo n.º 9
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    def test_NNC(self):
        """ Example where the transcript skips an exon and has a novel splice
            donor
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)

        init_refs.make_temp_novel_gene_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr1"
        strand = "+"
        positions = [1, 50, 900, 1000]

        annotation = talon.identify_transcript(chrom, positions, strand,
                                               cursor, location_dict,
                                               edge_dict, transcript_dict,
                                               vertex_2_gene, gene_starts,
                                               gene_ends, run_info,
                                               "temp_gene")

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert annotation['gene_ID'] == correct_gene_ID
        assert "NNC_transcript" in novelty_types
        assert annotation['start_delta'] == annotation['end_delta'] == 0
        conn.close()
Ejemplo n.º 10
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    def test_genomic_unspliced(self):
        """ Monoexonic fragment that overlaps gene 1 """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)

        init_refs.make_temp_novel_gene_table(cursor, build)
        init_refs.make_temp_monoexonic_transcript_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr1"
        strand = "+"
        positions = (1, 990)

        annotation = talon.identify_monoexon_transcript(
            chrom, positions, strand, cursor, location_dict, edge_dict,
            transcript_dict, vertex_2_gene, gene_starts, gene_ends, run_info,
            "temp_gene", "temp_monoexon")

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert annotation['gene_ID'] == correct_gene_ID
        assert "genomic_transcript" in novelty_types
        assert annotation['end_delta'] == -10
        conn.close()
Ejemplo n.º 11
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    def test_match(self):
        """ Example where the transcript is a monoexonic match.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        init_refs.make_temp_novel_gene_table(cursor, build)
        init_refs.make_temp_monoexonic_transcript_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr4"
        strand = "-"
        positions = ( 3900, 1100 )

        annotation = talon.identify_monoexon_transcript(chrom, positions, 
                                               strand, cursor,
                                               location_dict, edge_dict,
                                               transcript_dict, vertex_2_gene,
                                               gene_starts, gene_ends, run_info,
                                               'temp_gene', 'temp_monoexon')

        correct_gene_ID = fetch_correct_ID("TG6", "gene", cursor)
        correct_transcript_ID = fetch_correct_ID("TG6-001", "transcript", cursor)
        assert annotation['gene_ID'] == correct_gene_ID
        assert annotation['start_delta'] == 100
        assert annotation['end_delta'] == -100

        conn.close()
Ejemplo n.º 12
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    def test_NNC_match(self):
        """ Example where the transcript is an NNC match to an existing one by
            virtue of a new splice donor.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr1"
        positions = [1, 110, 900, 1000]
        edge_IDs = [talon.edge_counter.value() + 1]
        vertex_IDs = [talon.vertex_counter.value() + 1, 5]
        strand = "+"
        v_novelty = [0, 0]

        gene_ID, transcript_ID, transcript_novelty, start_end_info = talon.process_NNC(
            chrom, positions, strand, edge_IDs, vertex_IDs, transcript_dict,
            gene_starts, gene_ends, edge_dict, location_dict, vertex_2_gene,
            run_info)

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        assert gene_ID == correct_gene_ID
        assert start_end_info["vertex_IDs"] == [1] + vertex_IDs + [6]
        assert transcript_dict[frozenset(start_end_info["edge_IDs"])] != None
        conn.close()
Ejemplo n.º 13
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    def test_no_match(self):
        """ Example with no FSM match """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        db = "scratch/toy.db"
        talon.get_counters(db)

        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(db, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr1"
        positions = [1, 100, 500, 600]
        strand = "+"
        edge_IDs = [2]
        vertex_IDs = [2, 3, 4, 5]
        v_novelty = [0, 0, 0, 0]

        all_matches = talon.search_for_ISM(edge_IDs, transcript_dict)

        gene_ID, transcript_ID, novelty, start_end_info = talon.process_FSM(
            chrom, positions, strand, edge_IDs, vertex_IDs, all_matches,
            gene_starts, gene_ends, edge_dict, location_dict, run_info)

        assert gene_ID == transcript_ID == None
        conn.close()
Ejemplo n.º 14
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    def test_antisense(self):
        """ Example where the transcript is antisense """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        init_refs.make_temp_novel_gene_table(cursor, build)
        init_refs.make_temp_monoexonic_transcript_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr4"
        strand = "+"
        positions = (1300, 3900)

        annotation = talon.identify_monoexon_transcript(
            chrom, positions, strand, cursor, location_dict, edge_dict,
            transcript_dict, vertex_2_gene, gene_starts, gene_ends, run_info,
            'temp_gene', 'temp_monoexon')

        anti_gene_ID = fetch_correct_ID("TG6", "gene", cursor)
        gene_novelty_types = [x[-2] for x in annotation['gene_novelty']]
        t_novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert annotation['gene_novelty'][0][-1] == "TRUE"
        assert "antisense_gene" in gene_novelty_types
        assert "antisense_transcript" in t_novelty_types

        conn.close()
Ejemplo n.º 15
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    def test_find_match(self):
        """ Example where the toy transcript edge dict does not contain the 
            edge being queried.
        """
        conn, cursor = get_db_cursor()

        # Create a location dict and then fetch vertices for two psotions
        build = "toy_build"
        location_dict = init_refs.make_location_dict(build, cursor)
        edge_dict = init_refs.make_edge_dict(cursor)
        conn.close()

        chrom = "chr1"
        pos1 = 600
        pos2 = 500
        v1 = talon.search_for_vertex_at_pos(chrom, pos1,
                                            location_dict)["location_ID"]
        v2 = talon.search_for_vertex_at_pos(chrom, pos2,
                                            location_dict)["location_ID"]

        assert v1 != None
        assert v2 != None

        # Now look for the edge between them
        edge_match = talon.search_for_edge(v1, v2, "exon", edge_dict)
        assert edge_match == None

        # Try them in the opposite order
        edge_match = talon.search_for_edge(v2, v1, "exon", edge_dict)
        assert edge_match["edge_ID"] == 3
Ejemplo n.º 16
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    def test_antisense(self):
        """ Example where the vertices are known but there is no same-strand 
            match """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        edge_dict = init_refs.make_edge_dict(cursor)
        locations = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        # Construct temp novel gene db
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")

        chrom = "chr1"
        start = 1000
        end = 1
        edge_IDs = [talon.edge_counter.value() + 1]
        positions = [1000, 900, 100, 1]
        vertex_IDs = [5, 2]
        strand = "-"
        anti_strand = "+"
        v_novelty = (0, 0, 0, 0)

        # Find antisense match
        gene_ID, transcript_ID, gene_novelty, transcript_novelty, start_end_info = \
                                      talon.process_spliced_antisense(chrom, positions,
                                                                  strand, edge_IDs,
                                                                  vertex_IDs,
                                                                  transcript_dict,
                                                                  gene_starts,
                                                                  gene_ends,
                                                                  edge_dict, locations,
                                                                  vertex_2_gene, run_info,
                                                                  cursor, "temp_gene")
        #anti_gene_ID = talon.find_gene_match_on_vertex_basis(vertex_IDs,
        #                                                     anti_strand,
        #                                                     vertex_2_gene)

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor)
        anti_gene_ID = gene_novelty[-1][-1]
        assert anti_gene_ID == correct_gene_ID
        assert start_end_info["vertex_IDs"] == [6, 5, 2, 1]

        conn.close()
Ejemplo n.º 17
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    def test_find_no_match(self):
        """ Example where the toy transcript database contains no matches
            for the position.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        location_dict = init_refs.make_location_dict(build, cursor)

        chrom = "chr1"
        pos = 0
        vertex_match = talon.search_for_vertex_at_pos(chrom, pos, location_dict)
        conn.close()

        # Make sure that no match got returned
        assert vertex_match == None
Ejemplo n.º 18
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    def test_genomic(self):
        """ Example where the transcript overlaps a gene but contains no known
            splice vertices
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        # Construct temp novel gene db
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")

        chrom = "chr1"
        positions = [1000, 950, 700, 600]
        edge_IDs = [
            talon.edge_counter.value() + 1,
            talon.edge_counter.value() + 2
        ]
        vertex_IDs = [
            talon.vertex_counter.value() + 1,
            talon.vertex_counter.value() + 2
        ]
        strand = "-"

        gene_ID, transcript_ID, gene_novelty, transcript_novelty, start_end_info = \
                             talon.process_remaining_mult_cases(chrom, positions,
                                                                strand, edge_IDs,
                                                                vertex_IDs,
                                                                transcript_dict,
                                                                gene_starts, gene_ends,
                                                                edge_dict, location_dict,
                                                                vertex_2_gene, run_info,
                                                                cursor, "temp_gene")
        correct_gene_ID = fetch_correct_ID("TG3", "gene", cursor)
        assert gene_ID == correct_gene_ID
        assert transcript_dict[frozenset(start_end_info["edge_IDs"])] != None
        assert gene_novelty == []
        assert transcript_novelty[-1][-2] == "genomic_transcript"
        conn.close()
Ejemplo n.º 19
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    def test_intergenic(self):
        """ Example where the transcript is an NIC match to an existing one by
            virtue of a new splice donor.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")
        correct_gene_ID = talon.gene_counter.value() + 1

        # Construct temp novel gene db
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")

        chrom = "chrX"
        positions = [1, 100, 900, 1000]
        edge_IDs = [
            talon.edge_counter.value() + 1,
            talon.edge_counter.value() + 2
        ]
        vertex_IDs = [
            talon.vertex_counter.value() + 1,
            talon.vertex_counter.value() + 2
        ]
        strand = "+"

        gene_ID, transcript_ID, gene_novelty, transcript_novelty, start_end_info = \
                             talon.process_remaining_mult_cases(chrom, positions,
                                                                strand, edge_IDs,
                                                                vertex_IDs,
                                                                transcript_dict,
                                                                gene_starts, gene_ends,
                                                                edge_dict, location_dict,
                                                                vertex_2_gene, run_info,
                                                                cursor, "temp_gene")

        assert gene_ID == correct_gene_ID
        assert transcript_dict[frozenset(start_end_info["edge_IDs"])] != None
        assert gene_novelty[0][-2] == "intergenic_novel"
        conn.close()
Ejemplo n.º 20
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    def test_find_exactly_one_match(self):
        """ Example where the toy transcript database contains exactly one match 
            for the position.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        location_dict = init_refs.make_location_dict(build, cursor)

        chrom = "chr1"
        pos = 1
        match = talon.search_for_vertex_at_pos(chrom, pos, location_dict)
        conn.close()

        print(match)
        # Make sure that match is correct and that we can access various 
        # attributes using their names
        assert match["genome_build"] == "toy_build"
        assert match["chromosome"] == "chr1"
        assert match["position"] == 1
Ejemplo n.º 21
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    def test_single_match(self):
        """ Example where the interval overlaps exactly one gene """
        conn, cursor = get_db_cursor()
        database = "scratch/toy.db"
        build = "toy_build"
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build, tmp_dir="scratch/tmp/")

        chrom = "chr1"
        pos = [0, 1500]
        strand = "+"

        gene_ID, match_strand = talon.search_for_overlap_with_gene(
            chrom, pos[0], pos[1], strand, cursor, run_info, "temp_gene")

        assert gene_ID == fetch_correct_ID("TG1", "gene", cursor)
        assert match_strand == strand
        conn.close()
Ejemplo n.º 22
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    def test_ISM_suffix(self):
        """ Example where the transcript is an ISM with suffix
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        run_info = talon.init_run_info(database, build)
        talon.get_counters(database)

        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        gene_starts = init_refs.make_gene_start_or_end_dict(cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr1"
        strand = "+"
        positions = [ 500, 600, 900, 1000 ]
        edge_IDs = [4]
        vertex_IDs = [4, 5]
        v_novelty = [0, 0]

        all_matches = talon.search_for_ISM(edge_IDs, transcript_dict)
        gene_ID, transcript_ID, novelty, start_end_info = talon.process_ISM(chrom, 
                                                            positions, 
                                                            strand, edge_IDs,
                                                            vertex_IDs, 
                                                            all_matches, 
                                                            transcript_dict,
                                                            gene_starts, gene_ends, 
                                                            edge_dict, location_dict, 
                                                            run_info)

        correct_gene_ID = fetch_correct_ID("TG1", "gene", cursor) 

        assert gene_ID == correct_gene_ID
        assert start_end_info["vertex_IDs"] == [3, 4, 5, 6]
        assert start_end_info["edge_IDs"] == [3, 4, 5]
        assert start_end_info["start_novelty"] == 0 # because the exon is known
        assert start_end_info["end_novelty"] == 0
        assert transcript_dict[frozenset(start_end_info["edge_IDs"])] != None
        conn.close()
Ejemplo n.º 23
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    def test_NIC_with_all_known_edges(self):
        """ Test case derived from a real mouse Map2k4 read. All of edges are
            known (except 3'), yet the read is NIC not FSM/ISM """

        database = "scratch/Map2k4.db"
        talon.get_counters(database)
        conn = sqlite3.connect(database)
        conn.row_factory = sqlite3.Row
        cursor = conn.cursor()
        build = "mm10"
        init_refs.make_temp_novel_gene_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts, gene_ends = init_refs.make_gene_start_and_end_dict(
            cursor, build)

        chrom = "chr11"
        strand = "-"
        positions = [
            65788254, 65788136, 65775765, 65775733, 65756371, 65756269,
            65735366, 65735192, 65719603, 65719484, 65712297, 65712178,
            65709983, 65709932, 65707111, 65706984, 65696365, 65696288,
            65693570, 65693422, 65691773, 65691728, 65690804, 65689322
        ]

        annotation = talon.identify_transcript(chrom, positions, strand,
                                               cursor, location_dict,
                                               edge_dict, transcript_dict,
                                               vertex_2_gene, gene_starts,
                                               gene_ends, run_info,
                                               "temp_gene")

        assert annotation['gene_ID'] == 1
        assert annotation['transcript_ID'] == 8
        novelty_types = [x[-2] for x in annotation['transcript_novelty']]
        assert "NIC_transcript" in novelty_types

        conn.close()
Ejemplo n.º 24
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    def test_antisense_match(self):
        """ Example where interval overlaps one gene in the antisense direction.
        """

        database = "scratch/toy.db"
        conn, cursor = get_db_cursor()
        build = "toy_build"
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [1400, 2100]
        strand = "+"

        gene_ID, match_strand = talon.search_for_overlap_with_gene(
            chrom, pos[0], pos[1], strand, cursor, run_info, "temp_gene")

        assert gene_ID == fetch_correct_ID("TG3", "gene", cursor)
        assert match_strand == "-"
        conn.close()
Ejemplo n.º 25
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    def test_same_strand_match_left_overlap(self):
        """ Example where the overlap is on the same strand. Query start is to 
            the left of the gene, and query end is before the end of the gene. """

        database = "scratch/toy.db"
        conn, cursor = get_db_cursor()
        build = "toy_build"
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [550, 1700]
        strand = "-"

        gene_ID, match_strand = talon.search_for_overlap_with_gene(
            chrom, pos[0], pos[1], strand, cursor, run_info, "temp_gene")

        assert gene_ID == fetch_correct_ID("TG3", "gene", cursor)
        assert match_strand == strand
        conn.close()
Ejemplo n.º 26
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    def test_same_strand_match_with_two_genes(self):
        """ Example where interval overlaps two genes, one of which is on the 
            same strand. """

        database = "scratch/toy.db"
        conn, cursor = get_db_cursor()
        build = "toy_build"
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [1500, 910]
        strand = "-"

        gene_ID, match_strand = talon.search_for_overlap_with_gene(
            chrom, pos[0], pos[1], strand, cursor, run_info, "temp_gene")

        assert gene_ID == fetch_correct_ID("TG3", "gene", cursor)
        assert match_strand == strand
        conn.close()
Ejemplo n.º 27
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    def test_2_genes_same_strand(self):
        """ Example where query overlaps two genes. Must choose the one with 
            more overlap """

        database = "scratch/toy.db"
        conn, cursor = get_db_cursor()
        build = "toy_build"
        init_refs.make_temp_novel_gene_table(cursor, "toy_build")
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [800, 5050]
        strand = "+"

        gene_ID, match_strand = talon.search_for_overlap_with_gene(
            chrom, pos[0], pos[1], strand, cursor, run_info, "temp_gene")

        assert gene_ID == fetch_correct_ID("TG1", "gene", cursor)
        assert match_strand == "+"
        conn.close()
Ejemplo n.º 28
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    def test_edgecase_single_base_exon(self):
        """ Example where the first exon is only one basepair long
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)

        chrom = "chr1"
        pos = [1, 1, 500, 600]
        start = pos[0]
        splice_pos = pos[2]
        cutoff = 500
        strand = "+"

        vertex_match, diff = talon.permissive_vertex_search(
            chrom, start, strand, splice_pos, "start", location_dict, run_info)
        assert vertex_match == fetch_correct_vertex_ID(chrom, 1, cursor)
        assert diff == 0
        conn.close()
Ejemplo n.º 29
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    def test_partial_match(self):
        """ Example where the transcript overlaps a single-exon transcript,
            but is shorter. In the past, the start would be assigned to the 
            annotated start, and the end would be novel. This is no longer
            the case- at this time, the transcript will be assigned to
            the annotated match. """

        conn, cursor = get_db_cursor()
        build = "toy_build"
        database = "scratch/toy.db"
        talon.get_counters(database)
        init_refs.make_temp_novel_gene_table(cursor, build)
        init_refs.make_temp_monoexonic_transcript_table(cursor, build)
        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(database, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        vertex_2_gene = init_refs.make_vertex_2_gene_dict(cursor)
        gene_starts = init_refs.make_gene_start_or_end_dict(cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr4"
        strand = "-"
        positions = ( 3900, 2900 )

        annotation = talon.identify_monoexon_transcript(chrom, positions,
                                               strand, cursor,
                                               location_dict, edge_dict,
                                               transcript_dict, vertex_2_gene,
                                               gene_starts, gene_ends, run_info,
                                               'temp_gene', 'temp_monoexon')

        correct_gene_ID = fetch_correct_ID("TG6", "gene", cursor)
        correct_transcript_ID = fetch_correct_ID("TG6-001", "transcript", cursor)
        assert annotation['gene_ID'] == correct_gene_ID
        assert annotation['transcript_ID'] == correct_transcript_ID
        assert annotation['start_delta'] == 100
        assert annotation['end_delta'] == -1900

        conn.close()
Ejemplo n.º 30
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    def test_FSM_start_diff(self):
        """ Example where the transcript is an FSM but has a difference on
            the start large enough to be novel.
        """
        conn, cursor = get_db_cursor()
        build = "toy_build"
        db = "scratch/toy.db"
        talon.get_counters(db)

        edge_dict = init_refs.make_edge_dict(cursor)
        location_dict = init_refs.make_location_dict(build, cursor)
        run_info = talon.init_run_info(db, build)
        transcript_dict = init_refs.make_transcript_dict(cursor, build)
        orig_vertices = talon.vertex_counter.value()
        gene_starts = init_refs.make_gene_start_or_end_dict(
            cursor, build, "start")
        gene_ends = init_refs.make_gene_start_or_end_dict(cursor, build, "end")

        chrom = "chr1"
        positions = [2501, 1500, 1000, 900]  #First postion is > 500bp away
        strand = "-"
        edge_IDs = [7]
        vertex_IDs = [7, 6]
        v_novelty = [0, 0]

        all_matches = talon.search_for_ISM(edge_IDs, transcript_dict)

        gene_ID, transcript_ID, novelty, start_end_info = talon.process_FSM(
            chrom, positions, strand, edge_IDs, vertex_IDs, all_matches,
            gene_starts, gene_ends, edge_dict, location_dict, run_info)

        correct_gene_ID = fetch_correct_ID("TG3", "gene", cursor)
        correct_transcript_ID = fetch_correct_ID("TG3-001", "transcript",
                                                 cursor)
        assert gene_ID == correct_gene_ID
        assert transcript_ID == correct_transcript_ID
        assert start_end_info["start_vertex"] == orig_vertices + 1
        assert start_end_info["end_vertex"] == 5
        conn.close()