def cleanupAndWrite(assembly_file,output_file,length=None,coverage=None,image_file=None,base_ID=None):
##Note: no sanity checks
## Load the assemblies
assembly_format,assembly_compressed = utilities.guessFileFormat(assembly_file)
output_format,output_compressed = utilities.guessFileFormat(output_file)
if assembly_format != output_format:
print("Warning on cleanup: input and output formats do not match ({} and {})".format(assembly_format,output_format))
with utilities.flexible_handle(assembly_file, assembly_compressed, 'rt') as fin:
seqs = [c for c in SeqIO.parse(fin,assembly_format)]
if base_ID is not None:
new_contigs, c = seq_utilities.standardize_contig_names(seqs,base_ID)
seqs = new_contigs
#Precise manipulation of single contig
if length is None:
length = 0
if coverage is None:
coverage = 0
##always SPADES
print("Removing low quality contigs from SKESA assembly. Length < {}; coverage < {}".format(length,coverage))
# raw_filename = os.path.join(os.path.dirname(report_file),os.path.basename(assembly_file))
discard_file = utilities.appendToFilename(output_file, '_discarded') ##ext is same as assembly file
updated_seqs = cleanup_SKESA(seqs,minimum_length = length, minimum_coverage = coverage,discard_file=discard_file,export_contig_graph=image_file)
if updated_seqs is None:
print("Unable to clean and orient the assembly: \n\t"+assembly_file)
return 1
else:
print("Retained {} of {} contigs.".format(len(updated_seqs),len(seqs)))
with open(output_file,'wt') as fout:
SeqIO.write(updated_seqs,fout,output_format)
print('Saved reoriented assembly at {}'.format(output_file))
if output_compressed:
print("Warning. Compression not implemented. The file extension is misleading")
return 0
def cleanup_SPADES(contigs,
minimum_length,
minimum_coverage,
export_contig_data=None,
discard_file=None,
export_contig_graph=None):
contig_table = AssemblyStats.parse_SPADES(
contigs,
export_contig_graph=export_contig_graph,
export_contig_data=export_contig_data)
good_length = contig_table['Contig_Size'] > minimum_length
if (contig_table.Coverage.isnull().any()):
raise Exception(
"Null value in coverage table during Assembly Cleanup. Unable to filter"
)
good_contig_bool = good_length
else:
good_coverage = contig_table['Coverage'] > minimum_coverage
good_contig_bool = good_coverage & good_length
good_contig_table = contig_table[good_contig_bool]
good_contigs = good_contig_table['Contig'].tolist()
if discard_file is not None:
try:
discard_contigs = contig_table[~good_contig_bool]['Contig'].tolist(
)
SeqIO.write(discard_contigs, discard_file,
utilities.guessFileFormat(discard_file)[0])
except Exception as e:
print(e)
raise
return good_contigs
def seq_guess_and_write(seqs, filename):
seq_format, compressed = utilities.guessFileFormat(filename)
if seq_format is not None:
with utilities.flexible_handle(filename, compressed, 'wt') as seq_out:
SeqIO.write(seqs, seq_out, seq_format)
else:
print("Cannot infer sequence format for file: " + filename)
def main():
### Parse arguments
parser = argparse.ArgumentParser()
parser.add_argument('-p','--primer_file',help='Location of primer information',required=True)
parser.add_argument('-r','--repository',help='Location of genome assembly repository')
parser.add_argument('--keep_temp',action='store_true',help='Keep temporary BLAST files')
parser.add_argument('--version','-V',action='version',version='%(prog)s {}.{}'.format(script_version,script_subversion))
parser.add_argument('args', nargs=argparse.REMAINDER)
args = parser.parse_args()
argv = [os.path.basename(__file__)] + args.args
# stdout = utilities.Logger(os.path.join(_outDir,"LocusExtractor.log"))
repository = None
default_settings = os.path.join(os.path.dirname(__file__),genomeOrganizer.SETTING_FILE)
if args.repository:
repository = args.repository
gd = genomeOrganizer.placeAssembliesIntoDataFrame(argv,GO_settings=default_settings,repository=repository)
if gd is not None:
primer_file = args.primer_file
extractor = AmpliconExtractor(primer_file,generate_output=True)
logFile = os.path.join(extractor.outDir,"AmpliconExtractor.log") if extractor.outDir is not None else "AmpliconExtractor.log" ##TODO find a better default location
sys.stdout = utilities.Logger(logFile)
if extractor.outDir is not None:
utilities.safeOverwriteTable(genomeOrganizer.default_list(extractor.outDir), gd, 'tab')
for _,row in gd.iterrows():
(file_format,compressed) = utilities.guessFileFormat(row.loc['Filename'])
extractor.evaluateGenome(row.loc['Lab_ID'],row.loc['Filename'],file_format,compressed,keep_temp=args.keep_temp)
## If I have to sort the columns somewhat (from LocusExtractor -- should be a function)
# cols = self.allele_table_columns_initial + [c.strip() for c in column_order if c not in self.allele_table_columns_initial]
# remainder = [c.strip() for c in self.allele_table.columns.tolist() if c not in cols]
# remainder.sort(key=lambda s: s.lower())
# cols += remainder
extractor.finish(keep_temp=args.keep_temp)
print("Finished. Results saved at {}".format(extractor.outDir))
def seqs_guess_and_parse2list(filename):
seq = None
seq_format, compressed = utilities.guessFileFormat(filename)
if seq_format is not None:
with utilities.flexible_handle(filename, compressed, 'rt') as seq_in:
seq = [x for x in SeqIO.parse(seq_in, seq_format)]
else:
print("Cannot infer sequence format for file: " + filename)
return seq
def seqs_guess_and_parse2dict(filename):
if not isinstance(filename, str):
raise TypeError("Filename must be string, is {}".format(
type(filename)))
# if not os.path.isfile(filename):
# raise ValueError("Cannot locate file: {}".format(filename))
seq_dict = None
seq_format, compressed = utilities.guessFileFormat(filename)
if seq_format is not None:
with utilities.flexible_handle(filename, compressed, 'rt') as seq_in:
seq_dict = SeqIO.to_dict(SeqIO.parse(seq_in, seq_format))
else:
print("Cannot infer sequence format for file: " + filename)
return seq_dict
def describeSequences(sequenceFile):
result = defaultdict(int)
result['FileSize'] = os.path.getsize(sequenceFile)
seq_format, compressed = utilities.guessFileFormat(
sequenceFile) ##guess and parse
if seq_format is not None:
with utilities.flexible_handle(sequenceFile, compressed,
'rt') as seq_in:
for s in SeqIO.parse(seq_in, seq_format):
result['Sequences'] += 1
result['Nucleotides'] += len(s)
else:
print("Cannot infer sequence format for file: " + sequenceFile)
##TODO: add Q30 and such?
return result
def cleanupAndWrite(assembly_file,
output_file,
circle_new_start=None,
reverse_contig=None,
closed_circle=None,
broken_circle=None,
circularize_with_Ns=0,
length=None,
coverage=None,
report_file=None,
reference=None,
assembler=None,
working_dir=None):
##Note: no sanity checks
## Load the assemblies
assembly_format, assembly_compressed = utilities.guessFileFormat(
assembly_file)
output_format, output_compressed = utilities.guessFileFormat(output_file)
if assembly_format != output_format:
print(
"Warning on cleanup: input and output formats do not match ({} and {})"
.format(assembly_format, output_format))
with utilities.flexible_handle(assembly_file, assembly_compressed,
'rt') as fin:
seqs = [c for c in SeqIO.parse(fin, assembly_format)]
#Precise manipulation of single contig
updated_seqs = None
if circle_new_start or reverse_contig:
if len(seqs) > 1:
print(
"Error: User provided explicit reorientation instructions for a contig, but multiple contigs are present in assembly: \n"
+ assembly_file)
return 1
elif closed_circle:
print("Shifting closed circle...")
updated_seqs = shiftCirclarChromosome(seqs[0],
circle_new_start,
reverse_contig,
N_padding=0)
elif broken_circle:
print("Shifting broken circle...")
updated_seqs = shiftCirclarChromosome(seqs[0],
circle_new_start,
reverse_contig,
N_padding=-1)
elif circularize_with_Ns > 0:
print('Scaffolding not implemented')
else:
print(
'To shift a chromosome, you must specify whether the circle is closed or broken'
)
else: ## Complex criteria for manipulation
if closed_circle and len(seqs) > 1:
print(
"Warning: Untested parameters. User specified 'closed circle' but multiple contigs are present in assembly"
)
## Remove the low-quality contigs:
##TODO: consider if another parameter should be passed. At least specify if it came from SPAdes
circular = closed_circle or broken_circle ##Circles imply high-quality sequence
if not circular:
if length is None:
length = 0
if coverage is None:
coverage = 0
if assembler is None:
print("Removing short contigs from assembly.")
updated_seqs = [x for x in seqs if len(x) > length]
# if coverage
elif assembler.upper() == 'SPADES':
print(
"Removing low quality contigs from SPADES assembly. Length < {}; coverage < {}"
.format(length, coverage))
raw_filename = os.path.join(os.path.dirname(report_file),
os.path.basename(assembly_file))
image_file = None # utilities.setExt(raw_filename, 'png') ##Note: this has been moved to the calculateStats routine
discard_file = utilities.appendToFilename(
raw_filename, '_discarded') ##ext is same as assembly file
updated_seqs = cleanup_SPADES(seqs,
minimum_length=length,
minimum_coverage=coverage,
export_contig_data=report_file,
discard_file=discard_file,
export_contig_graph=image_file)
else:
print(
"Error: assembler ({}) unknown for non-circular assembly. Not attempting to cleanup contigs in file: \n{}"
.format(assembler, assembly_file))
return 1
## Reorient to reference if requested
if reference:
input_seqs = updated_seqs if updated_seqs is not None else seqs
if os.path.isfile(reference):
if circular:
if len(input_seqs) > 1:
print(
'Warning: multiple contigs in "circular" assembly. Only one contig will be reoriented and I cannot tell you which one. Untested.'
)
if len(input_seqs) > 0:
N_padding = -1 ##Do not religate
if closed_circle:
N_padding = 0
elif circularize_with_Ns > 0:
print('Scaffolding not implemented')
return 1
print(
"Reorienting circular chromosome to reference...")
updated_seqs = reorientClosedChromosome(
input_seqs,
reference,
N_padding=N_padding,
working_dir=working_dir
) #Note: only treated as closed if N_padding >= 0
else: ## Len == 0
print(
"None of {} contigs passed your exclusion criteria. Exiting "
.format(len(seqs)))
return 1
else:
if working_dir is None:
working_dir = os.path.splitext(output_file)[0]
draft_name = os.path.splitext(
os.path.basename(assembly_file))[0]
print("Reorienting contigs")
reorder_stats = reorientContigs(
input_seqs,
reference,
working_dir,
name=draft_name,
input_format=assembly_format) ##Will be genbank format
if isinstance(reorder_stats, dict) and ('ReorderedDraft'
in reorder_stats):
updated_seqs = seq_utilities.seqs_guess_and_parse2list(
reorder_stats['ReorderedDraft']
) ##Excessive to reload... but it fits in this flow
else:
updated_seqs = None
else:
print(
"Unable to realign to reference because there is no refernce file: {}"
.format(reference))
if updated_seqs is None:
print("Unable to clean and orient the assembly: \n\t" + assembly_file)
return 1
else:
with open(output_file, 'wt') as fout:
SeqIO.write(updated_seqs, fout, output_format)
print('Saved cleaned assembly at {}'.format(output_file))
if output_compressed:
print(
"Warning. Compression not implemented. The file extension is misleading"
)
return 0
def calculateStats(filelist_or_frame,out_file=None,ass_format=None,image_dir=None,save_details=False):
if isinstance(filelist_or_frame,list):
filelist = filelist_or_frame
fileframe = None
elif isinstance(filelist_or_frame,pd.DataFrame):
filelist = filelist_or_frame.Filename
fileframe = filelist_or_frame
else:
raise ValueError("can only calculate stats on a list of filenames or a DataFrame with a Filename field")
if len(filelist) == 0:
raise ValueError("AssemblyStats CalculateStats requires a list of files with length > 0. Contact developer")
assFrame = None
if isinstance(image_dir,str):
utilities.safeMakeDir(image_dir)
if len(filelist) > 0:
assemblyList = []
for filename in filelist:
if isinstance(ass_format,str):
assembler = ass_format
elif ('spades' in filename):
assembler = 'spades'
print("Guessing assembler as {}".format(assembler))
elif ('skesa' in filename):
assembler = 'skesa'
print("Guessing assembler as {}".format(assembler))
else:
assembler = None
genome_format,_ = utilities.guessFileFormat(filename)
AssInfo = {'Filename':filename} ##This will report data for all files provided. Junk files will have 0 contigs and 0 size
if genome_format is None:
AssInfo['Note']='Could not identify genome format'
else:
try:
contig_list = seq_utilities.seqs_guess_and_parse2list(filename)
if isinstance(contig_list,list) and len(contig_list) > 0:
contigFrame = getContigStats(contig_list,hasQual = (genome_format == 'fastq'),assembler=assembler)
if 'Coverage' in contigFrame.columns:
contigFrame['Coverage'] = contigFrame['Coverage'].astype(float) ##Note: Coverage is being cast to float in getSpadesStats, but somehow becomes string in this frame.
if 'Contig_Size' in contigFrame.columns:
contigFrame['Contig_Size'] = contigFrame['Contig_Size'].astype(int)
if save_details:
contig_file = utilities.setExt(utilities.appendToFilename(filename,'_contigs'),'.xlsx')
contigFrame.to_excel(contig_file)
assert len(contig_list) == len(contigFrame), "Not all contigs are in dataframe"
if isinstance(image_dir,str) and os.path.isdir(image_dir):
if has_plt:
if ('Coverage' in contigFrame.columns) and ('Contig_Size' in contigFrame.columns):
tempFrame = contigFrame[['Coverage','Contig_Size']].copy()
try:
raw_filename = os.path.join(image_dir,os.path.basename(filename))
image_file = utilities.setExt(raw_filename, 'png') ##Note: only reason to do
if isinstance(image_file,str):
fig = tempFrame.plot(kind='scatter', x='Contig_Size',y='Coverage',logx=True,logy=True)
fig = fig.get_figure()
fig.savefig(image_file)
except Exception as e:
print('Failed to save contig stats scatterplot at '+image_file)
for c in tempFrame.columns:
print(tempFrame[c])
utilities.printExceptionDetails(e)
else:
try:
plt.close(fig)
except:
print("Failed to close image...")
elif assembler in ['skesa','spades']:
print("Unable to produce contig stats scatterplot because necessary fields are not present ('Contig_Size' and 'Coverage')")
AssInfo['Contig_Count']=str(len(contig_list))
contigSizes = contigFrame['Contig_Size'].astype(int)
assemblySize = sum(contigSizes)
AssInfo['Bases_In_Contigs'] = str(assemblySize)
largeContigs = contigSizes > 10000
AssInfo['Large_Contig_Count'] = str(sum(largeContigs))
AssInfo['Small_Contig_Count'] = str(sum(~largeContigs))
AssInfo['Bases_In_Large_Contigs'] = str(sum(contigSizes[largeContigs]))
AssInfo['Bases_In_Small_Contigs'] = str(sum(contigSizes[~largeContigs]))
emptyContigs = contigSizes == 0
if sum(emptyContigs) > 0:
print('\n#### WARNING #### EMPTY CONTIGS ########\n')
print('\n\t'.join(contigFrame[emptyContigs].Contig_Name.tolist()))
print('\n########################################\n')
if 'Coverage' in contigFrame.columns:
contigCoverage = contigFrame['Coverage'] ##should be float, but seems to get converted to a string with some versions
if len(contigCoverage[largeContigs]) > 0:
min_c = min(contigCoverage[largeContigs])
AssInfo['Min_Coverage_Large_Contigs'] = str(min_c)
max_c = max(contigCoverage[largeContigs])
AssInfo['Max_Ratio_of_Coverage_Large_Contigs'] = '{:0.2f}'.format(max_c/min_c)
lowC_contigs = contigFrame['Coverage'] < (min_c / 2)
AssInfo['Low_Coverage_Contig_Count'] = sum(lowC_contigs)
AssInfo['Low_Coverage_Contig_Bases'] = sum(contigFrame.loc[lowC_contigs,'Contig_Size'])
else:
AssInfo['Min_Coverage_Large_Contigs'] = 'N/A'
AssInfo['Max_Ratio_of_Coverage_Large_Contigs'] = 'N/A'
AssInfo['Low_Coverage_Contig_Count'] = 'N/A'
AssInfo['Low_Coverage_Contig_Bases'] = 'N/A'
coverageProduct = contigFrame['Contig_Size'].astype(int) * contigFrame['Coverage']
coverageProductSum = sum(coverageProduct)
meanCoverage = coverageProductSum/assemblySize
AssInfo['Mean_Coverage'] = meanCoverage
lowC_contigs = contigFrame['Coverage'] < (meanCoverage / 2)
AssInfo['HalfCov_Contig_Count'] = sum(lowC_contigs)
AssInfo['HalfCov_Contig_Bases'] = sum(contigFrame.loc[lowC_contigs,'Contig_Size'])
if feature_head in contigFrame:
featureCounts = contigFrame[feature_head].astype(int)
AssInfo[feature_head] = sum(featureCounts)
### Sum ambiguous nucleotides
ambigCounts = contigFrame['Ambiguous_nucleotides'].astype(int)
AssInfo['Ambiguous_nucleotides']=sum(ambigCounts)
## Import the quality scores
for c in contigFrame.columns:
if c.startswith(quality_head):
AssInfo[c] = str(sum(contigFrame[c]))
##Calculate N50 and N90
N_stats = calcN50_stats(contigSizes.tolist(),thresholds=[50,75,90])
for n,size in N_stats.items():
header = "N{}".format(n)
AssInfo[header] = str(size)
# assemblyList.append(AssInfo)
else:
print("failed to parse file: "+filename)
AssInfo['Note'] = 'No sequences parsed from file'
except Exception as e:
print("Warning: failed to assess file: " + filename)
print("Exception: {}".format(e))
raise
if 'Bases_In_Contigs' not in AssInfo:
AssInfo['Bases_In_Contigs'] = 0
if 'Contig_Count' not in AssInfo:
AssInfo['ContigCount'] = 0
assemblyList.append(AssInfo)
if len(assemblyList) > 0:
print("Stats for {} assemblies.".format(len(assemblyList)))
assFrame = pd.DataFrame(assemblyList)
if isinstance(fileframe,pd.DataFrame):
saveFrame = pd.merge(fileframe,assFrame,on='Filename')
else:
saveFrame = assFrame.set_index('Filename')
if (out_file is not None):
try:
saveFrame.to_csv(out_file)
except Exception as e:
print(saveFrame.to_csv())
print()
print("Failed to print to target file {}. \nPrinted results to screen (above)".format(out_file))
utilities.printExceptionDetails(e)
else:
print("Failed to evaluate assemblies...")
print("attempted to evaluate the following files:"+"\n".join(filelist))
return assFrame
