def test_are_all_sequence_names_unique(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/all_unique_sequence_names.fa')
self.assertTrue(validate_fasta.are_sequence_names_unique())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/non_unique_sequence_names.fa')
self.assertFalse(validate_fasta.are_sequence_names_unique())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_all_sequence_names_unique(self):
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'all_unique_sequence_names.fa'))
self.assertTrue(validate_fasta.are_sequence_names_unique())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'non_unique_sequence_names.fa'))
self.assertFalse(validate_fasta.are_sequence_names_unique())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_all_sequences_the_same_length(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/valid_alignment.aln')
self.assertTrue(
validate_fasta.does_each_sequence_have_the_same_length())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/sequences_of_different_lengths.fa')
self.assertFalse(
validate_fasta.does_each_sequence_have_the_same_length())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_all_sequences_the_same_length(self):
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'valid_alignment.aln'))
self.assertTrue(
validate_fasta.does_each_sequence_have_the_same_length())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'sequences_of_different_lengths.fa'))
self.assertFalse(
validate_fasta.does_each_sequence_have_the_same_length())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_all_sequence_names_unique(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/all_unique_sequence_names.fa')
self.assertTrue(validate_fasta.are_sequence_names_unique())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/non_unique_sequence_names.fa')
self.assertFalse(validate_fasta.are_sequence_names_unique())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_all_sequences_the_same_length(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/valid_alignment.aln')
self.assertTrue(validate_fasta.does_each_sequence_have_the_same_length())
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/sequences_of_different_lengths.fa')
self.assertFalse(validate_fasta.does_each_sequence_have_the_same_length())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_does_the_sequence_have_sensible_characters(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/sequence_with_odd_chars.fa')
self.assertFalse(
validate_fasta.does_each_sequence_have_a_name_and_genomic_data())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_does_each_sequence_have_a_name(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/sequence_without_a_name.fa')
self.assertFalse(
validate_fasta.does_each_sequence_have_a_name_and_genomic_data())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_valid_fasta_file(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/multiple_recombinations.aln')
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
def test_does_each_sequence_have_a_name(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/sequence_without_a_name.fa')
self.assertFalse(validate_fasta.does_each_sequence_have_a_name_and_genomic_data())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_valid_fasta_file(self):
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'multiple_recombinations.aln'))
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
def parse_and_run(input_args, program_description=""):
"""Main function of the Gubbins program"""
start_time = time.time()
current_directory = os.getcwd()
printer = utils.VerbosePrinter(True, "\n")
# Check if the Gubbins C-program is available. If so, print a welcome message. Otherwise exit.
gubbins_exec = 'gubbins'
if utils.which(gubbins_exec) is None:
# Check if the Gubbins C-program is available in its source directory (for tests/Travis)
gubbins_bundled_exec = os.path.abspath(os.path.join(current_directory, '../src/gubbins'))
if utils.which(gubbins_bundled_exec) is None:
sys.exit(gubbins_exec + " is not in your path")
else:
gubbins_exec = utils.replace_executable(gubbins_exec, gubbins_bundled_exec)
program_version = ""
try:
program_version = str(pkg_resources.get_distribution(gubbins_exec).version)
except pkg_resources.RequirementParseError:
pass
printer.print(["\n--- Gubbins " + program_version + " ---\n", program_description])
# Initialize tree builder and ancestral sequence reconstructor; check if all required dependencies are available
printer.print("\nChecking dependencies...")
current_tree_name = input_args.starting_tree
tree_file_names = []
internal_node_label_prefix = "internal_"
if input_args.tree_builder == "fasttree" or input_args.tree_builder == "hybrid":
tree_builder = FastTree(input_args.verbose)
sequence_reconstructor = RAxML(input_args.threads, input_args.raxml_model, internal_node_label_prefix,
input_args.verbose)
alignment_suffix = ".snp_sites.aln"
elif input_args.tree_builder == "raxml":
tree_builder = RAxML(input_args.threads, input_args.raxml_model, internal_node_label_prefix, input_args.verbose)
sequence_reconstructor = tree_builder
alignment_suffix = ".phylip"
else:
tree_builder = IQTree(input_args.threads, internal_node_label_prefix, input_args.verbose)
sequence_reconstructor = tree_builder
alignment_suffix = ".phylip"
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# Check if the input files exist and have the right format
printer.print("\nChecking input files...")
if not os.path.exists(input_args.alignment_filename) \
or not ValidateFastaAlignment(input_args.alignment_filename).is_input_fasta_file_valid():
sys.exit("There input alignment file does not exist or has an invalid format")
if input_args.starting_tree is not None and input_args.starting_tree != "" \
and (not os.path.exists(input_args.starting_tree) or not is_starting_tree_valid(input_args.starting_tree)):
sys.exit("The starting tree does not exist or has an invalid format")
if input_args.starting_tree is not None and input_args.starting_tree != "" \
and not do_the_names_match_the_fasta_file(input_args.starting_tree, input_args.alignment_filename):
sys.exit("The names in the starting tree do not match the names in the alignment file")
if number_of_sequences_in_alignment(input_args.alignment_filename) < 3:
sys.exit("3 or more sequences are required.")
# Check - and potentially correct - further input parameters
check_and_fix_window_size(input_args)
# Get the base filename
(base_directory, base_filename) = os.path.split(input_args.alignment_filename)
(basename, extension) = os.path.splitext(base_filename)
if input_args.use_time_stamp:
time_stamp = str(int(time.time()))
basename = basename + "." + time_stamp
snp_alignment_filename = base_filename + ".snp_sites.aln"
gaps_alignment_filename = base_filename + ".gaps.snp_sites.aln"
gaps_vcf_filename = base_filename + ".gaps.vcf"
joint_sequences_filename = base_filename + ".seq.joint.aln"
# Check if intermediate files from a previous run exist
intermediate_files = [basename + ".iteration_"]
if not input_args.no_cleanup:
utils.delete_files(".", intermediate_files, "", input_args.verbose)
if utils.do_files_exist(".", intermediate_files, "", input_args.verbose):
sys.exit("Intermediate files from a previous run exist. Please rerun without the --no_cleanup option "
"to automatically delete them or with the --use_time_stamp to add a unique prefix.")
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# Filter the input alignment and save as temporary alignment file
printer.print("\nFiltering input alignment...")
temp_working_dir = tempfile.mkdtemp(dir=os.getcwd())
temp_alignment_filename = temp_working_dir + "/" + base_filename
pre_process_fasta = PreProcessFasta(input_args.alignment_filename, input_args.verbose,
input_args.filter_percentage)
taxa_removed = pre_process_fasta.remove_duplicate_sequences_and_sequences_missing_too_much_data(
temp_alignment_filename, input_args.remove_identical_sequences)
input_args.alignment_filename = temp_alignment_filename
# If a starting tree has been provided make sure that taxa filtered out in the previous step are removed from it
if input_args.starting_tree:
(tree_base_directory, tree_base_filename) = os.path.split(input_args.starting_tree)
temp_starting_tree = temp_working_dir + '/' + tree_base_filename
filter_out_removed_taxa_from_tree(input_args.starting_tree, temp_starting_tree, taxa_removed)
input_args.starting_tree = temp_starting_tree
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# Find all SNP sites with Gubbins
gubbins_command = " ".join([gubbins_exec, input_args.alignment_filename])
printer.print(["\nRunning Gubbins to detect SNPs...", gubbins_command])
try:
subprocess.check_call(gubbins_command, shell=True)
except subprocess.SubprocessError:
sys.exit("Gubbins crashed, please ensure you have enough free memory")
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
reconvert_fasta_file(snp_alignment_filename, snp_alignment_filename)
reconvert_fasta_file(gaps_alignment_filename, base_filename + ".start")
# Start the main loop
printer.print("\nEntering the main loop.")
for i in range(1, input_args.iterations+1):
printer.print("\n*** Iteration " + str(i) + " ***")
# 1.1. Construct the tree-building command depending on the iteration and employed options
if i == 2 and input_args.tree_builder == "hybrid":
# Switch to RAxML
tree_builder = sequence_reconstructor
alignment_suffix = ".phylip"
if i == 1:
previous_tree_name = input_args.starting_tree
alignment_filename = base_filename + alignment_suffix
else:
previous_tree_name = current_tree_name
alignment_filename = previous_tree_name + alignment_suffix
current_basename = basename + ".iteration_" + str(i)
current_tree_name = current_basename + ".tre"
if previous_tree_name:
tree_building_command = tree_builder.tree_building_command(
os.path.abspath(alignment_filename), os.path.abspath(previous_tree_name), current_basename)
else:
tree_building_command = tree_builder.tree_building_command(
os.path.abspath(alignment_filename), "", current_basename)
built_tree = temp_working_dir + "/" + tree_builder.tree_prefix + current_basename + tree_builder.tree_suffix
# 1.2. Construct the phylogenetic tree
if input_args.starting_tree is not None and i == 1:
printer.print("\nCopying the starting tree...")
shutil.copyfile(input_args.starting_tree, current_tree_name)
else:
printer.print(["\nConstructing the phylogenetic tree with " + tree_builder.executable + "...",
tree_building_command])
os.chdir(temp_working_dir)
try:
subprocess.check_call(tree_building_command, shell=True)
except subprocess.SubprocessError:
sys.exit("Failed while building the tree.")
os.chdir(current_directory)
shutil.copyfile(built_tree, current_tree_name)
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# 2. Re-root the tree
reroot_tree(str(current_tree_name), input_args.outgroup)
temp_rooted_tree = temp_working_dir + "/" + current_tree_name + ".rooted"
if input_args.tree_builder == "iqtree":
shutil.copyfile(current_tree_name, temp_rooted_tree)
else:
root_tree(current_tree_name, temp_rooted_tree)
# 3.1. Construct the command for ancestral state reconstruction depending on the iteration and employed options
ancestral_sequence_basename = current_basename + ".internal"
sequence_reconstruction_command = sequence_reconstructor.internal_sequence_reconstruction_command(
os.path.abspath(base_filename + alignment_suffix), os.path.abspath(temp_rooted_tree),
ancestral_sequence_basename)
raw_internal_sequence_filename \
= temp_working_dir + "/" + sequence_reconstructor.asr_prefix \
+ ancestral_sequence_basename + sequence_reconstructor.asr_suffix
processed_internal_sequence_filename = temp_working_dir + "/" + ancestral_sequence_basename + ".aln"
raw_internal_rooted_tree_filename \
= temp_working_dir + "/" + sequence_reconstructor.asr_tree_prefix \
+ ancestral_sequence_basename + sequence_reconstructor.asr_tree_suffix
# 3.2. Reconstruct the ancestral sequence
printer.print(["\nReconstructing ancestral sequences with " + sequence_reconstructor.executable + "...",
sequence_reconstruction_command])
os.chdir(temp_working_dir)
try:
subprocess.check_call(sequence_reconstruction_command, shell=True)
except subprocess.SubprocessError:
sys.exit("Failed while reconstructing the ancestral sequences.")
os.chdir(current_directory)
# 3.3. Join ancestral sequences with given sequences
current_tree_name_with_internal_nodes = current_tree_name + ".internal"
sequence_reconstructor.convert_raw_ancestral_states_to_fasta(raw_internal_sequence_filename,
processed_internal_sequence_filename)
concatenate_fasta_files([snp_alignment_filename, processed_internal_sequence_filename],
joint_sequences_filename)
transfer_internal_node_labels_to_tree(raw_internal_rooted_tree_filename, temp_rooted_tree,
current_tree_name_with_internal_nodes, sequence_reconstructor)
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# 4. Reinsert gaps (cp15 note: something is wonky here, the process is at the very least terribly inefficient)
printer.print("\nReinserting gaps into the alignment...")
shutil.copyfile(base_filename + ".start", gaps_alignment_filename)
reinsert_gaps_into_fasta_file(joint_sequences_filename, gaps_vcf_filename, gaps_alignment_filename)
if not os.path.exists(gaps_alignment_filename) \
or not ValidateFastaAlignment(gaps_alignment_filename).is_input_fasta_file_valid():
sys.exit("There is a problem with your FASTA file after running internal sequence reconstruction. "
"Please check this intermediate file is valid: " + gaps_alignment_filename)
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
# 5. Detect recombination sites with Gubbins (cp15 note: copy file with internal nodes back and forth to
# ensure all created files have the desired name structure and to avoid fiddling with the Gubbins C program)
shutil.copyfile(current_tree_name_with_internal_nodes, current_tree_name)
gubbins_command = create_gubbins_command(
gubbins_exec, gaps_alignment_filename, gaps_vcf_filename, current_tree_name,
input_args.alignment_filename, input_args.min_snps, input_args.min_window_size, input_args.max_window_size)
printer.print(["\nRunning Gubbins to detect recombinations...", gubbins_command])
try:
subprocess.check_call(gubbins_command, shell=True)
except subprocess.SubprocessError:
sys.exit("Failed while running Gubbins. Please ensure you have enough free memory")
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
shutil.copyfile(current_tree_name, current_tree_name_with_internal_nodes)
# 6. Check for convergence
printer.print("\nChecking for convergence...")
remove_internal_node_labels_from_tree(current_tree_name_with_internal_nodes, current_tree_name)
tree_file_names.append(current_tree_name)
if i > 1:
if input_args.converge_method == 'recombination':
current_recomb_file, previous_recomb_files = get_recombination_files(tree_file_names)
if have_recombinations_been_seen_before(current_recomb_file, previous_recomb_files):
printer.print("Convergence after " + str(i) + " iterations: Recombinations observed before.")
break
else:
if has_tree_been_seen_before(tree_file_names, input_args.converge_method):
printer.print("Convergence after " + str(i) + " iterations: Tree observed before.")
break
printer.print("...done. Run time: {:.2f} s".format(time.time() - start_time))
else:
printer.print("Maximum number of iterations (" + str(input_args.iterations) + ") reached.")
printer.print("\nExiting the main loop.")
# Create the final output
printer.print("\nCreating the final output...")
if input_args.prefix is None:
input_args.prefix = basename
output_filenames_to_final_filenames = translation_of_filenames_to_final_filenames(
current_tree_name, input_args.prefix)
utils.rename_files(output_filenames_to_final_filenames)
# Cleanup intermediate files
if not input_args.no_cleanup:
shutil.rmtree(temp_working_dir)
utils.delete_files(".", tree_file_names[:-1], intermediate_files_regex(), input_args.verbose)
utils.delete_files(".", [base_filename], starting_files_regex(), input_args.verbose)
printer.print("...finished. Total run time: {:.2f} s".format(time.time() - start_time))
def test_are_there_enough_sequences_to_build_a_tree(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/alignment_with_3_sequences.aln')
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_does_the_sequence_have_sensible_characters(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/sequence_with_odd_chars.fa')
self.assertFalse(validate_fasta.does_each_sequence_have_a_name_and_genomic_data())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_does_each_sequence_have_a_name(self):
validate_fasta = ValidateFastaAlignment(
os.path.join(data_dir, 'sequence_without_a_name.fa'))
self.assertFalse(
validate_fasta.does_each_sequence_have_a_name_and_genomic_data())
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_are_there_enough_sequences_to_build_a_tree(self):
validate_fasta = ValidateFastaAlignment(
'gubbins/tests/data/alignment_with_3_sequences.aln')
self.assertFalse(validate_fasta.is_input_fasta_file_valid())
def test_valid_fasta_file(self):
validate_fasta = ValidateFastaAlignment('gubbins/tests/data/multiple_recombinations.aln')
self.assertTrue(validate_fasta.is_input_fasta_file_valid())
