Review EVI5L

EVI5L.py

@@ -0,0 +1,158 @@
+from __future__ import annotations
+from typing import Union
+from Bio import SeqIO
+from Bio.SeqUtils import GC
+import numpy as np
+from abc import ABC, abstractmethod
+
+
+def check(args: list[str]):
+    """
+    Checks list of sequences for correct format.
+    Arguments:
+        -args (list) - Input format: at least 1 sequence and command, command on last position of list,
+        only DNA/RNA seqeunces.
+    Return:
+        -ValueError - if something does not fit arguments input format.
+    """
+    if len(args) < 2:
+        raise ValueError('Input sequences and command')
+    elif args[-1] not in COMMANDS:
+        raise ValueError('No such command')
+    for seq in args[:-1]:
+        if set(seq.lower()) == set('autgc') and set(seq.lower()) != set('atgc') and set(seq.lower()) != set('augc'):
+            raise ValueError('Incorrect nucleic acid')
+
+
+def filter_fastq(
+        input_path: str,
+        output_filename: str = None,
+        gc_bounds: Union[int, tuple[int, int]] = (0, 100),
+        length_bounds: Union[int, tuple[int, int]] = (0, 2 ** 32),
+        quality_treshholds: int = 0
+) -> dict[str, str]:
+    """
+    Filters fastq files by specifiable parameters.
+    Arguments:
+        -input_path(str) - path to input file.
+        -output_filename (str) - name of output file, input file name will be used if none is given.
+        -gc_bounds (int,tuple) - GC interval (in percent) for filtering, default is (0, 100). If input is single int - it will be ceiling (0, n).
+        -length_bounds (int,tuple) - length interval for filtering. Works exactly as gc_bounds. Default is (0, 2**32)
+        -quality_threshold (int) - The threshold value of average read quality for the filter is 0 by default (phred33 scale).
+    Return:
+        -output (dict[str,str]) - filtered dictionary, which consists of entities that fulfill entered parameters.
+    """
+
+    def average_quality(record):
+        return np.mean(record.letter_annotations["phred_quality"])
+
+    if output_filename is None:
+        output_filename = input_path
+
+    with open(input_path, "r") as input_handle, open(output_filename, "w") as output_handle:
+        sequences = SeqIO.parse(input_handle, "fastq")
+        filtered = {}
+        for seq in sequences:
+            if len(seq) >= length_bounds[0] and len(seq) <= length_bounds[1] \
+                    and average_quality(seq) >= quality_threshold \
+                    and GC(seq.seq) >= gc_bounds[0] and GC(seq.seq) <= gc_bounds[1]:
+                filtered[seq.id] = seq
+        SeqIO.write(filtered.values(), output_handle, "fastq")
+    return filtered
+
+
+class BiologicalSequence(ABC):
+    def __init__(self, sequence):
+        self.sequence = sequence
+
+    @abstractmethod
+    def __len__(self):
+        pass
+
+    @abstractmethod
+    def __getitem__(self, index):
+        pass
+
+    @abstractmethod
+    def __str__(self):
+        pass
+
+    @abstractmethod
+    def check_alphabet(self):
+        pass
+
+
+class NucleicAcidSequence(BiologicalSequence):
+    sequence_type: str = None  # Это будет переопределено в подклассах
+
+    def __init__(self, sequence):
+        self.sequence = sequence
+        if not self.check_alphabet():
+            raise ValueError("Invalid sequence")
+
+    def complement(self):
+        COMPLEMENT_MAP = {'A': 'T', 'T': 'A', 'C': 'G', 'G': 'C', 'U': 'A'} if self.sequence_type == 'DNA' else {
+            'A': 'U', 'U': 'A', 'C': 'G', 'G': 'C'}
+        return ''.join(COMPLEMENT_MAP[base] for base in self.sequence)
+
+    def check_alphabet(self):
+        valid_bases = set('ATGCU') if self.sequence_type == 'DNA' else set('AUGC')
+        return set(self.sequence.upper()) <= valid_bases
+
+
+class DNASequence(NucleicAcidSequence):
+    sequence_type = 'DNA'
+
+    def __len__(self):
+        return len(self.sequence)
+
+    def __getitem__(self, index):
+        return self.sequence[index]
+
+    def __str__(self):
+        return self.sequence
+
+    def transcribe(self):
+        return (self.complement()).replace('T', 'U')
+
+
+class RNASequence(NucleicAcidSequence):
+    sequence_type = 'RNA'
+
+    def __len__(self):
+        return len(self.sequence)
+
+    def __getitem__(self, index):
+        return self.sequence[index]
+
+    def __str__(self):
+        return self.sequence
+
+
+class AminoAcidSequence(BiologicalSequence):
+    sequence_type = 'AminoAcidSequence'
+
+    def __len__(self):
+        return len(self.sequence)
+
+    def __init__(self, sequence):
+        self.sequence = sequence
+        if not self.check_alphabet():
+            raise ValueError("Invalid sequence")
+
+    def __getitem__(self, index):
+        return self.sequence[index]
+
+    def __str__(self):
+        return self.sequence
+
+    def check_alphabet(self):
+        return set(self.sequence.upper()) <= set('ACDEFGHIKLMNPQRSTVWY')
+
+    def calculate_mm(self):
+        MOLECULAR_MASS_MAP = {'A': 89.094, 'R': 174.203, 'N': 132.119, 'D': 133.104, 'C': 121.154,
+                              'E': 147.131, 'Q': 146.146, 'G': 75.067, 'H': 155.156, 'I': 131.175,
+                              'L': 131.175, 'K': 146.189, 'M': 149.208, 'F': 165.192, 'P': 115.132,
+                              'S': 105.093, 'T': 119.119, 'W': 204.228, 'Y': 181.191, 'V': 117.148}
+        return sum(MOLECULAR_MASS_MAP[aa] for aa in self.sequence)
+