DNA Research using Biopython
DNA Research using Biopython, available at Free, has an average rating of 3.7, with 9 lectures, based on 169 reviews, and has 4187 subscribers.
You will learn about DNA RNA GENOMES CHROMOSOMES BIOINFORMATICS BIOPYTHON ANACONDA IDE SPYDER FRAMEWORK This course is ideal for individuals who are Students that aspire a career in Bioinformatics with an emphasis on DNA Research. It is particularly useful for Students that aspire a career in Bioinformatics with an emphasis on DNA Research.
Enroll now: DNA Research using Biopython
Summary
Title: DNA Research using Biopython
Price: Free
Average Rating: 3.7
Number of Lectures: 9
Number of Published Lectures: 9
Number of Curriculum Items: 9
Number of Published Curriculum Objects: 9
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- DNA
- RNA
- GENOMES
- CHROMOSOMES
- BIOINFORMATICS
- BIOPYTHON
- ANACONDA IDE
- SPYDER FRAMEWORK
Who Should Attend
- Students that aspire a career in Bioinformatics with an emphasis on DNA Research.
Target Audiences
- Students that aspire a career in Bioinformatics with an emphasis on DNA Research.
DNA Research using Biopython, An Introduction To Bioinformatics, is a crash hacker course that will teach you Hybrid Developer skills. You will use your existing OOPL development skills to fly through python code effortlessly. You will first learn what is deoxyribonucleic acid (DNA) and how to work with it to simultaneously implement medical research and python code to work toward and infer a solution. You will learn how to use biopython and its libraries to help you research
- Statistics
- Datasets
- Genomes
- Neucleotides
- Chromosomes
- mRNA
- DNA sequences.
DNA Research using Biopython, An Introduction To Bioinformatics course asks you but one important question. Will you find the next big cure?
Course Curriculum
Chapter 1: DNA CRASH COURSE
Lecture 1: INTRO TO DNA
Lecture 2: DNA ARCHETYPE
Lecture 3: DNA SEQUENCING: PART 1
Lecture 4: DNA SEQUENCING: PART 2
Lecture 5: PROTEIN BIOSYNTHESIS
Chapter 2: INTRODUCTION TO BIOINFORMATICS
Lecture 1: BIOINFORMATICS THEORY
Lecture 2: BIOINFORMATICS NUCLEOBASE PROGRAM
Chapter 3: INTRODUCTION TO BIOPYTHON
Lecture 1: INSTALLING BIOPYTHON/CHANGING DNA TO PROTEIN
Lecture 2: DNA MUTATION/DNA SLICING/DNA CONCATENATION
Instructors
-
Brian Rouse
Data Scientist / iOS Instructor
Rating Distribution
- 1 stars: 21 votes
- 2 stars: 16 votes
- 3 stars: 50 votes
- 4 stars: 38 votes
- 5 stars: 44 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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