Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
27 commits
Select commit Hold shift + click to select a range
0ebdc00
Create bioinf_tools.py
VovaGrig Oct 7, 2023
bb282ed
Create bioinf_modules with dna_rna_tools.py, protein_tools.py, dictio…
VovaGrig Oct 7, 2023
a9106af
Increase performance,add dockstrings to dna_rna_tools.py, modify dict…
VovaGrig Oct 7, 2023
eb189cb
Increase performance, delete lower case in all dictionaries, update p…
VovaGrig Oct 8, 2023
0acfa30
Create fastq_tools.py, functions and dockstrings within
VovaGrig Oct 8, 2023
7671daa
Rename bioinf_modules to src
VovaGrig Oct 8, 2023
cd6bdcc
Increase performance, update bioinf_tools.py
VovaGrig Oct 8, 2023
9edb943
Rename fastq_tools.py to fastq_filter.py, update bioinf_tools.py
VovaGrig Oct 8, 2023
3e68daa
Update README.md
VovaGrig Oct 8, 2023
c84a045
Update README.md
VovaGrig Oct 8, 2023
34b1e88
Update README.md
VovaGrig Oct 8, 2023
c2cac33
Update README.md
VovaGrig Oct 8, 2023
4b614be
Update README.md
VovaGrig Oct 8, 2023
f243add
Delete useless files
VovaGrig Oct 8, 2023
62bb4b8
Add fixes from PR
VovaGrig Oct 23, 2023
24afd1a
Add fasta file parsing to dict in fastq_filter.py
VovaGrig Oct 23, 2023
419d187
Fix fasta file parsing to dict in fastq_filter.py
VovaGrig Oct 23, 2023
683a12a
Fix fasta file parsing to dict in fastq_filter.py
VovaGrig Oct 23, 2023
b95b0f2
Add save_filtered_seqs function in fastq_filter.py
VovaGrig Oct 23, 2023
ec4623d
Update docstrings
VovaGrig Oct 23, 2023
ccca0f3
Update docstrings
VovaGrig Oct 23, 2023
93addf3
Add bio_files_processor.py with 3 functions
VovaGrig Oct 23, 2023
ca5abed
Update bio_files_processor.py with 3
VovaGrig Oct 23, 2023
313ed97
Update fastq_filter.py
VovaGrig Oct 23, 2023
f8bcddf
Update bio_files_processor.py
VovaGrig Oct 23, 2023
49756b1
Update bio_files_processor.py
VovaGrig Oct 23, 2023
21dce21
Update README.md
VovaGrig Oct 24, 2023
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
176 changes: 175 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
@@ -1,2 +1,176 @@
# IB_Bioinf_tools
This is the repo for the fifth homework of the BI Python 2023 course. It has few bioinformatis tools
## Tools to work with nucleic acids, protein sequences, fastq reads.

Every bioinfomatician at some point of his/her career deals with nucleic acid sequences, protein sequences. Nowadays it's also hard to imagine bioinformatics without New Generation Sequecning methods and data, that needs to be analyzed with bioinformatician hands. For those reasons as well as for practical experience and better theorethical understanding of bioinformatics I create this repo.
`bioinf_tools.py` and 'bio_files_processor.py' are an open-source program that facilitate working with bioinformatics data.

## Usage and options

### Bioinf_tools.py
`bioinf_tools.py` program contains three main functions:

**1.** `run_protein_tools` - facilitates work with protein sequences, has 5 procedures:

- Search for conserved amino acids residues in protein sequence: **search_for_motifs**
- Search for alternative frames in a protein sequences: **search_for_alt_frames**
- Convert protein sequences to RNA or DNA sequences: **convert_to_nucl_acids**
- Reverse the protein sequences from one-letter to three-letter format and vice-versa: **three_one_letter_code**
- Define molecular weight of the protein sequences: **define_molecular_weight**

Function works with *one-letter amino acid sequences*, a name of procedure and a relevant argument. If you have three-letter amino acids sequences please convert it with `three_one_letter_code` procedure before using any other procedures on them.

To start with the program run the following command:

`run_protein_tools(sequences, procedure: str ="procedure", ...)`

Where:
- sequences: positional argument, a *str | list[str] | tuple[str]* of protein sequences
- procedure: keyword argument, a type of procedure to use that is inputed in *string* type
- ... - an additional keyword arguments. Those are:

For "search_for_motif" procedure:
- motif (str): desired motif to check presense in every given sequence. Example: motif = "GA"
- overlapping (bool): count (True) or skip (False) overlapping matches. Example: overlapping = False (Optional)

For "search_for_alt_frames" procedure:
- alt_start_aa (str): the name of an amino acid that is encoded by alternative start codon. Example: alt_start_aa = "I" (Optional)

For "convert_to_nucl_acids" procedure:
- nucl_acids (str): the nucleic acid to convert to. Example: nucl_acids = "both" | nucl_acids = "RNA"

**2.** `run_dna_rna_tools` - facilitates work with nucleic acids sequences, has 4 procedures:
- Transcribe nucleic acid sequence: **transcribe**
- Convert nucleic acid sequence into its reverse counterpart: **reverse**
- Convert nucleic acid sequence into its complement counterpart: **complement**
- Convert nucleic acid sequence into its reverse-complement counterpart: **reverse_complement**

Function works with nucleic acids sequences (DNA/RNA) and a name of procedure.

To start with the program run the following command:

`run_dna_rna_tools(sequences, procedure = "procedure")`

Where:
- sequences *(str | list[str] | tuple[str])*: positional argument, a of nucleic acids sequences
- procedure *(str)*: keyword argument, a name of procedure to use that is inputed in *string* type

**3.** `run_fastq_filter` - facilitates filtering of sequncing reads by several parameters:
- GC content: **gc_bounds**
- read length: **length_bounds**
- mean nucleotide quality: **quality_threshold**

Function works with default arguments as usage example.\
To start with the program run the following command:

`run_fastq_filter(gc_bounds=50)`

Where:
- seqs (dict[str, tuple[str] | list[str]]): fastq reads to be filtered. Default value: *an example dictionary*
- gc_bounds (int | float | tuple[int | float] | list[int | float]): GC content thresholds. Default value: *(0:100)*
- length_bounds (int | tuple[int] | list[int]): read length thresholds. Default value: *(1,2**32)*
- quality_thresholds (int | float): read Phred-33 scaled quality thresholds. Default value: *0*
- verbose (bool): add detailed statistics for each read. Defaukt value: *True*

Please provide GC content bounds in percentages.

For *gc_bounds* and *length_bounds* if one number is provided bounds from 0 to number are considered.

Please provide threshold quality in Phred-33 scale.

### Bio Files Processor

`bio_files_processor.py` program contains functions for processing biological sequence files in FASTA and GenBank (gbk) formats.

#### Functions:

- convert_multiline_fasta_to_oneline(input_fasta: str, output_fasta: str = ""): Converts a multiline FASTA file to a one-line FASTA file.
- Arguments:
- input_fasta (str): Path to the input FASTA file.
- output_fasta (str): Path to the output FASTA file. If not provided, output file will be saved in the current directory with the same name as input file but with "_oneline.fasta" suffix.
- Returns: None

- select_genes_from_gbk_to_fasta(input_gbk: str, genes: str or tuple[str] or list[str], n_before: int = 1, n_after: int = 1, output_fasta: str = ""): Extracts the translations of neighbour genes in amino acids from a GenBank (gbk) file for a list of desired genes and saves them in a FASTA file format ready for blasting.
- Arguments:
- input_gbk (str): Path to the input GenBank (gbk) file.
- genes (str or tuple[str] or list[str]): Gene name or list of gene names to extract neigbhour genes translations for.
- n_before (int, optional): Number of genes to include before the desired gene. Defaults to 1.
- n_after (int, optional): Number of genes to include after the desired gene. Defaults to 1.
- output_fasta (str, optional): Path to the output FASTA file. If not provided, output file will be saved in the current directory with the same name as input file but with "_trans_for_blast.fasta" suffix.
- Returns: None

- change_fasta_start_pos(input_fasta: str, shift: int, output_fasta: str = ""): Shifts the starting position of each sequence in a FASTA file by a specified number of nucleotides and saves the modified sequences in a new FASTA file.
- Arguments:
- input_fasta (str): Path to the input FASTA file.
- shift (int): Number of nucleotides to shift the starting position of each sequence.
- output_fasta (str, optional): Path to the output FASTA file. If not provided, output file will be saved in the current directory with the same name as input file but with "_shifted.fasta" suffix.
- Returns: None
## Examples
```python
### run_protein_tools


## three_one_letter_code
run_protein_tools(['met-Asn-Tyr', 'Ile-Ala-Ala'], procedure='three_one_letter_code') # ['mNY', 'IAA']
run_protein_tools(['mNY','IAA'], procedure='three_one_letter_code') # ['met-Asn-Tyr', 'Ile-Ala-Ala']


## define_molecular_weight
run_protein_tools(['MNY','IAA'], procedure='define_molecular_weight') # {'MNY': 426.52, 'IAA': 273.35}


## check_for_motifs
run_protein_tools(['mNY','IAA'], procedure='search_for_motifs', motif='NY')
#Sequence: mNY
#Motif: NY
#Motif is present in protein sequence starting at positions: 1

#Sequence: IAA
#Motif: NY
#Motif is not present in protein sequence

#{'mNY': [1], 'IAA': []}


## search_for_alt_frames
run_protein_tools(['mNYQTMSPYYDMId'], procedure='search_for_alt_frames') # {'mNYQTMSPYYDMId': ['MSPYYDMId']}
run_protein_tools(['mNYTQTSP'], procedure='search_for_alt_frames', alt_start_aa='T') # {'mNYTQTSP': ['TQTSP']}


## convert_to_nucl_acids
run_protein_tools('MNY', procedure='convert_to_nucl_acids', nucl_acids = 'RNA') # {'RNA': ['AUGAACUAU']}
run_protein_tools('MNY', procedure='convert_to_nucl_acids', nucl_acids = 'DNA') # {'DNA': ['TACTTGATA']}
run_protein_tools('MNY', procedure='convert_to_nucl_acids', nucl_acids = 'both') # {'RNA': ['AUGAACUAU'], 'DNA': ['TACTTGATA']}

### run_dna_rna_tools
run_dna_rna_tools(("ATGC", "TGCA"), procedure='transcribe') # {'ATGC': 'AUGC', 'TGCA': 'UGCA'}
run_dna_rna_tools("ATGC", procedure='reverse') # 'CGTA'
run_dna_rna_tools("ATGC", procedure='complement') # 'TACG'
run_dna_rna_tools("ATGC", procedure='reverse_complement') # 'GCAT'

### run_fastq_filter
run_fastq_filter(gc_bounds=50)
#Read: ACAGCAACATAAACATGATGGGATGGCGTAAGCCCCCGAGATATCAGTTTACCCAGGATAAGAGATTAAATTATGAGCAACATTATTAA
#GC Content: 38.2022
#Read Length: 89
#Mean Nucleotide Quality: 36.1011

#Read: GAACGACAGCAGCTCCTGCATAACCGCGTCCTTCTTCTTTAGCGTTGTGCAAAGCATGTTTTGTATTACGGGCATCTCGAGCGAATC
#GC Content: 49.4253
#Read Length: 87
#Mean Nucleotide Quality: 33.2989

#{'@SRX079804:1:SRR292678:1:1101:21885:21885': ('ACAGCAACATAAACATGATGGGATGGCGTAAGCCCCCGAGATATCAGTTTACCCAGGATAAGAGATTAAATTATGAGCAACATTATTAA', 'FGGGFGGGFGGGFGDFGCEBB@CCDFDDFFFFBFFGFGEFDFFFF;D@DD>C@DDGGGDFGDGG?GFGFEGFGGEF@FDGGGFGFBGGD'),
# '@SRX079804:1:SRR292678:1:1101:30161:30161': ('GAACGACAGCAGCTCCTGCATAACCGCGTCCTTCTTCTTTAGCGTTGTGCAAAGCATGTTTTGTATTACGGGCATCTCGAGCGAATC', 'DFFFEGDGGGGFGGEDCCDCEFFFFCCCCCB>CEBFGFBGGG?DE=:6@=>A<A>D?D8DCEE:>EEABE5D@5:DDCA;EEE-DCD')}

### convert_multiline_fasta_to_oneline
convert_multiline_fasta_to_oneline("input.fasta", "output.fasta")


### select_genes_from_gbk_to_fasta
select_genes_from_gbk_to_fasta(example_gbk.gbk, genes="ybgD_2", n_before=10,n_after=10)


### change_fasta_start_pos
change_fasta_start_pos("input.fasta", 3, "output.fasta")
```

136 changes: 136 additions & 0 deletions bio_files_processor.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,136 @@
import os


def convert_multiline_fasta_to_oneline(input_fasta: str, output_fasta: str = ""):
"""
Converts a multiline FASTA file to a one-line FASTA file.

Arguments:
- input_fasta (str): Path to the input FASTA file.
- output_fasta (str): Path to the output FASTA file.\\
If output_fasta is not provided, output file will be saved in the current directory with the same name as input file but with "_oneline.fasta" suffix.

Return:
None

Example:
convert_multiline_fasta_to_oneline("input.fasta", "output.fasta")
"""
if output_fasta == "":
output_fasta = os.path.basename(input_fasta)
output_fasta = output_fasta.replace(".fasta", "_oneline.fasta")
output_path = os.path.join("./", output_fasta)
with open(input_fasta, "r") as input:
with open(output_path, "w"):
read = []
while True:
line = input.readline().strip()
if not line:
break
if line.startswith(">"):
line += "\n"
if read:
with open(output_path, "a") as output:
output.write("".join(read) + "\n")
read = [line]
else:
read.append(line)
with open(output_path, "a") as output:
output.write("".join(read))
Comment on lines +23 to +39

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Опять сложно ))

with open(INPUT) as inp_fa, open(OUTPUT, "w") as opt_fa:
    for line in inp_fa:
        if line.startswith(">"):
            opt_fa.write("\n")  # Можно аккуратнее сделать проверку на первую строку, тогда не будет \n вначале
            opt_fa.write(line)
            continue

        opt_fa.write(line.strip())



def select_genes_from_gbk_to_fasta(
input_gbk: str,
genes: str or tuple[str] or list[str],
n_before: int = 1,
n_after: int = 1,
output_fasta: str = "",
):
"""
Extract the translations of neighbour genes in amino acids from a GenBank (gbk) file for a list of desired genes and saves them in a FASTA file format ready for blasting.

Arguments:
- input_gbk (str): Path to the input GenBank (gbk) file.
- genes (str or tuple[str] or list[str]): Gene name or list of gene names to extract neigbhour genes translations for.
- n_before (int, optional): Number of genes to include before the desired gene. Defaults to 1.
- n_after (int, optional): Number of genes to include after the desired gene. Defaults to 1.
- output_fasta (str, optional): Path to the output FASTA file.\\
If output_fasts is not provided, output file will be saved in the current directory with the same name as input file but with "_trans_for_blast.fasta" suffix.

Return:
None

Example:
select_genes_from_gbk_to_fasta("input.gbk", ["gene1", "gene2"], n_before=2, n_after=2, output_fasta="output.fasta")
"""
if output_fasta == "":
output_fasta = os.path.basename(input_gbk)
output_fasta = output_fasta.replace(".gbk", "_trans_for_blast.fasta")
output_path = os.path.join("./", output_fasta)
if isinstance(genes, str):
genes = [genes]
with open(input_gbk, "r") as input:
translations = []
ind = 0
prev_gene = "undefined"
was_printed = set()
while True:
line = input.readline().strip()
if not line:
break
if line.startswith("/gene="):
prev_gene = line[7:-1]
if line.startswith("/translation="):
translation = line[14:]
while not translation.endswith('"'):
line = input.readline().strip()
translation += line
translation = translation.rstrip('"')
translations.append((prev_gene, translation))
prev_gene = "undefined"
with open(output_path, "w") as out:
for gene in genes:
for ind, cur in enumerate(translations):
if gene in cur[0]:
for i in range(
max(0, ind - n_before),
min(len(translations), ind + n_after + 1),
):
if i == ind or i in was_printed:
continue
was_printed.add(i)
out_gene, translation = translations[i]
out.write(f">{out_gene}\n{translation}\n")


def change_fasta_start_pos(input_fasta: str, shift: int, output_fasta: str = ""):
"""
Shift the starting position of each sequence in a fasta file by a specified number of nucleotides and saves the modified sequences in a new fasta file.

Arguments:
- input_fasta (str): Path to the input fasta file.
- shift (int): Number of nucleotides to shift the starting position of each sequence.
- output_fasta (str, optional): Path to the output fasta file.\\
If output_fasta is not provided, output file will be saved in the current directory with the same name as input file but with "_shifted.fasta" suffix.

Return:
None

Example:
change_fasta_start_pos("input.fasta", 3, "output.fasta")
"""
if output_fasta == "":
output_fasta = os.path.basename(input_fasta)
output_fasta = output_fasta.replace(".fasta", "_shifted.fasta")
output_path = os.path.join("./", output_fasta)
with open(input_fasta, "r") as input:
with open(output_path, "w"):
while True:
line = input.readline().strip()
print(line)
if not line:
break
if not line.startswith(">"):
line = line[shift:] + line[:shift]
with open(output_path, "a") as output:
output.write(line + "\n")
Comment on lines +126 to +136

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

  1. Не оч понимаю, а почему нельзя было открыть сразу на чтение и запись, чтоб потом не открывать на дозапись? with open(...) as ..., open(..., "w") as ...:

  2. Зачем while? Почему просто не итерироваться по строкам? ))

Loading