Bioinformatics Box

This module contains the learning results of the Python course at the Bioinformatics Institute.

Overview:

bioinformatics_toolkit.py

• Classes for working with biological sequences, such as DNA, RNA, and amino acid sequences
• FastQ filter using Biopython
• Python API for the service GENSCAN
• Telegram_logger decorator, which logs launches of decorated functions and sends messages to telegram

bio_files_processor.py

• Function for converting multiline fasta into oneline
• Class FastaRecord for convenient display of fasta sequences
• Сontext manager for working with fasta files, providing the ability to get each sequence in FastaRecord format

custom_random_forest.py

• Custom RandomForestClassifier with the ability to determine the number of processes running in parallel

test_bioinformatics_box.py

• Tests that check the module's work

Also, module contains Showcases.ipynb in which you can look at examples of module's work.

Author: I.K. Slepov