Biopython Lesson 11 | Working with Protein Databases | UniProt & Protein Annotation скачать в хорошем качестве

Biopython Lesson 11 | Working with Protein Databases | UniProt & Protein Annotation

Welcome to Lesson 11 of the Biopython Course, where we move from DNA to proteins and learn how real protein information is stored and accessed using UniProt, one of the most important protein databases in bioinformatics. In this lesson, you will understand that proteins are not just amino acid sequences: they come with rich biological annotations such as function, structure, and biological roles. In this lesson, you will learn: What UniProt is and why it is used in bioinformatics The difference between a raw protein sequence and an annotated protein How to explore the UniProt website and download protein data How to read a UniProt protein FASTA file using Biopython How to access protein ID, description, sequence, and length using SeqIO This lesson helps you connect online biological databases with Python programming, a crucial skill for real-world bioinformatics analysis and research. 📘 Recommended books - Python for Absolute Beginners 1. Python For Beginners - A beginner-focused guide to Python programming, ideal if students have no prior coding experience. https://amzn.to/3XSMpOw 2. Python for Beginners : Let's Learn Python in 7 Days - A practical book designed to teach Python in an easy, structured 7-day format. https://amzn.to/4rTpUqr 3. Complete Beginner Level Python Programming - Another beginner friendly guide that covers the basics of Python in a clear and accessible way. https://amzn.to/44svYfs 📗 Python + Bioinformatics / Biopython Context These are more suitable for students once they have basic Python skills: 1. Mastering Python for Bioinformatics - A step up for students ready to apply Python to biological problems and research computing. https://amzn.to/4rQV4Pj 2. Python for Bioinformatics - A broader introduction to Python within bioinformatics workflows. https://amzn.to/3Yrxwmm 3. Computational Methods for Bioinformatics: Python 3.4 - Covers computational approaches to bioinformatics using Python. https://amzn.to/3MErxbd 📌 Tips for Students Start with a beginner Python book to solidify fundamental skills. Once comfortable with Python basics, transition to bioinformatics-focused books like the ones above. Pair reading with hands-on practice (e.g., your course exercises) for best learning progress. #Biopython #Bioinformatics #BioinformaticsForBeginners #PythonForBiology #Biotechnology #LifeScience #ComputationalBiology #NGS #BiologyStudents #BiopythonCourse #LearnBioinformatics #PythonProgramming #biotechshalaa