Bioinformatics with Python
Bioinformatics with Python, available at $54.99, has an average rating of 2.4, with 47 lectures, based on 406 reviews, and has 2748 subscribers.
You will learn about Bioinformatics using Python Learn Biopython and Scikit-bio Sequence Analysis and Sequence Alignments Write Custom Functions For DNA Sequence analysis and Protein Synthesis Create Our Own Bioinformatics Python Package using Poetry This course is ideal for individuals who are Beginner Python Programmers curious about doing Bioinformatics with programming or Students and Researchers or Beginners to Bioinformatics,Computational Biology and Genomics It is particularly useful for Beginner Python Programmers curious about doing Bioinformatics with programming or Students and Researchers or Beginners to Bioinformatics,Computational Biology and Genomics.
Enroll now: Bioinformatics with Python
Summary
Title: Bioinformatics with Python
Price: $54.99
Average Rating: 2.4
Number of Lectures: 47
Number of Published Lectures: 47
Number of Curriculum Items: 47
Number of Published Curriculum Objects: 47
Original Price: $49.99
Quality Status: approved
Status: Live
What You Will Learn
- Bioinformatics using Python
- Learn Biopython and Scikit-bio
- Sequence Analysis and Sequence Alignments
- Write Custom Functions For DNA Sequence analysis and Protein Synthesis
- Create Our Own Bioinformatics Python Package using Poetry
Who Should Attend
- Beginner Python Programmers curious about doing Bioinformatics with programming
- Students and Researchers
- Beginners to Bioinformatics,Computational Biology and Genomics
Target Audiences
- Beginner Python Programmers curious about doing Bioinformatics with programming
- Students and Researchers
- Beginners to Bioinformatics,Computational Biology and Genomics
Do you know that the human genomic sequence if printed out in a normal text font, would stretch for 5000 km, which is like the distance from London to Montreal, Los Angeles to Panama, Accra to Cape Town, Tokyo to Calcutta.
This same sequence would fill about 3000 books the size of a normal book.
Understanding and analyzing this sequence is clearly going to be a huge task.
But with the advent of powerful tools and databases we can be able to grabs a simple understanding of some aspect of it.
In this introductory course we will explore the various Python tools and libraries used in analyzing DNA,RNA and genome sequence.
Hence if you are interested in analyzing large sum of biological data or are curious about DNA sequence,protein synthesis,and how vaccines are designed. Then this course is for you.
Whether you are a student or a researcher, data scientist or bioinformatics engineer,computational biologist, this course will serve as a helpful guide when doing bioinformatics in Python.
We will be exploring bioinformatics with BioPython, Biotite, Scikit-Bio, BioJulia and more.
Data is everywhere, biological data is in every living organism.Let us analyse it for useful insights
We will learn
-
how to do sequence analysis with BioPython,Biotite,etc
-
how to perform sequence alignment with code.
-
how to create our own custom functions for analyzing DNA,RNA and Proteins.
-
how to do some bioinformatics with Python.
-
how to analysis the DNA sequence of Covid 19, MERS and more.
NOTE: This is an introductory course structured like a reference material for anyone interested in doing bioinformatics with python.
Join us as we explore the world of biological data with Python
Course Curriculum
Chapter 1: Module 01 – Introduction
Lecture 1: Introduction and Course Plan
Lecture 2: What is Bioinformatics?
Lecture 3: What is a DNA?
Lecture 4: What is Protein Synthesis?
Lecture 5: Overview of Bioinformatics Databases
Chapter 2: Module 02 – Bioinformatics with BioPython
Lecture 1: Handling Sequences with BioPython
Lecture 2: BioPython – Protein Synthesis
Lecture 3: BioPython – DNA Composition – GC Content,AT Content and Frequency
Lecture 4: BioPython – Sequence Alignment
Lecture 5: BioPython – Difference Between Sequence Similarity and Sequence Identity
Lecture 6: BioPython – Checking for Similarity Using Distance
Lecture 7: BioPython – Checking for Similarity Using DotPlot
Lecture 8: BioPython – Working with Biological Data File Formats – FASTA,GENBANK,etc
Lecture 9: BioPython – Working with 3D Structures
Lecture 10: BioPython – Visualizing 3D Structures
Lecture 11: BioPython – Using Nglview For 3D Structures
Lecture 12: BioPython – Using Pytraj For 3D Structure
Lecture 13: BioPython – BLAST
Lecture 14: Section Materials – For BioPython
Lecture 15: Real Example with BioPython – Sequence Analysis of Covid 19 DNA
Lecture 16: BioPython – Alphabets Updates
Chapter 3: Module 03 – Bioinformatics with Biotite
Lecture 1: Biotite – Introduction, Handling Sequences and Protein Synthesis
Lecture 2: Biotite -Sequence Alignments
Lecture 3: Biotite – Working with Files
Lecture 4: Biotite – Reading Data From Bioinformatic Databases
Lecture 5: Biotite – Fetching PDB Files from Protein Data Bank
Lecture 6: Biotite – Fetching and Querying Multiple PDB Files
Lecture 7: Biotite – Working 3D Structures of Protein
Lecture 8: Biotite – Quick Overview of Phylogenetics with Biotite
Lecture 9: Biotite – Applications Subpackage
Lecture 10: Real Example with Biotite – Comparing Coronavirus and MERS viral genome
Lecture 11: Section Materials – For Biotite
Chapter 4: Module 03 – Bioinformatics with Scikit-Bio
Lecture 1: Scikit-Bio- Handling DNA,RNA and Protein Sequence
Lecture 2: Scikit-Bio – Protein Synthesis
Lecture 3: Scikit-Bio – DNA Composition – Checking for GC Content and AT Content
Lecture 4: Scikit-Bio – Checking for Similarity using Hamming Distance and Kmer-Distance
Lecture 5: Scikit-Bio – Kmers and Kmers Frequency
Lecture 6: Scikit-Bio – Sequence Alignment – Global and Local Alignments
Lecture 7: Scikit-Bio – Working with FASTA and GenBank File Formats
Lecture 8: Scikit-Bio – Phylogenetics – A Simple Overview using Newick Format
Lecture 9: Section Materials – For Scikit-Bio
Chapter 5: Module 04 – Bioinformatics Extra – Using Custom Functions, BioJulia etc
Lecture 1: Bioinformatics using Custom Functions in Python
Lecture 2: Building A BioInformatics Package with Python -From Scratch
Lecture 3: Bioinformatics with NeatBio
Lecture 4: Building A Simple BioInformatics App with Streamlit
Lecture 5: Bioinformatics with Julia
Lecture 6: Thank You Note
Instructors
-
Jesse E. Agbe
Developer
Rating Distribution
- 1 stars: 28 votes
- 2 stars: 37 votes
- 3 stars: 90 votes
- 4 stars: 131 votes
- 5 stars: 120 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024