- Course overview
- About the speed of the lectures
Online
₹ 389 1,699
Quick facts
particular | details | |
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Programming and algorithms based on genetic programming are becoming one of the most sought-after fields in artificial intelligence and machine learning. These algorithms evaluate the genetic constituency by studying and analyzing gene alterations and evolutions. As interest in the field increases, more tools and technologies are being developed to assist faster and more efficient research. Numerous agencies, ranging from elementary to expert levels, are already accessible to facilitate the advancement of genetic programming research. Introduction to Python for genetics online certification is made available by Udemy to applicants who wish to learn how to model straightforward genetics issues using the Python computer language.
Introduction to Python for genetics online training comprises 4.5 hours of online lectures, three articles, one downloadable resource, and lifetime access, which also includes a digital certificate upon course completion.
Introduction to Python for genetics online course focuses on how to use the programming language Python to model simple genetics problems. individuals will first learn how to implement Python commands and data structures. Using the knowledge gathered thus far, applicants will model several genetics-related challenges, and brief introduction to some concepts of genetics, such as genes, alleles, and frequency.
The highlights
- Certificate of Completion
- Three Articles
- 4.5 Hours of Video Lessons
- One Downloadable Resource
- Access on Mobile and TV
Program offerings
- Online course
- 30-day money-back guarantee
- Unlimited access
- Self-paced course
Course and certificate fees
Fees information
certificate availability
certificate providing authority
What you will learn
Introduction to Python for genetics certification course, participants will get a thorough understanding of the concepts involved in learning how to model genetics problems with Python, the basic mendelian genetics, DNA replication, DNA transcription, and DNA translation. The aspirant will gain an understanding of the Hardy-Weinberg theorem, variable types, user input, operations, relational and logical operators, conditional statements, and for and while loops. The participant will get to know tuples, lists, dictionaries, functions, modules, file I/O as well as calculate the frequency of recombinant genotypes and estimate the gene distance, and model the transcription, translation, and solve population genetics problems.
The syllabus
Introduction to the course
Part 1: Basic Genetics
- Basic concepts
- The gene-protein flow and building blocks
- Inheritance and recombination
- The transcription process
- The translation process
- Population genetics: the Hardy-Weinberg Theorem
- Basic concepts of genetics
Part 2: Programming With Python
- Introduction To Python
- The Importance Of Python For Biosciences
- The Colab Environment
Variables And Types
- Main Variables And Types
- Arithmetic Operators
- User Input
- Variables, Types, User Input, Arithmetics
- Exercises
- Solution - Estimating Recombination Frequency
- Solution - Calculating Allele Frequencies
Strings And Text Manipulation
- Strings - Concept And Methods
- String Manipulation
- Exercises
- Solution: Finding Start And Termination Codons
- Solution: Manipulating A Dna String
Relational/Logical Operators And Conditional Statements
- Relational/Logical Operators
- Conditional Statements
- Nested And Complex Conditions
- Logical Operators And Conditional Statements
- Exercises
- Biomolecule Classifier
- Polypetide Sequence Analysis With String Manipulation
For And While Loops
- The For Loops
- The "Nested" For Loops
- The While Commands
- Loops
- Exercises
- Solution - Base Pairing Verification
- Solution - Simulating The Transcription Process
- Solution - Hamming Distance
Tuples, Lists And Dictionaries
- Tuples
- Lists
- Dictionaries
- Collections
- Exercises
- Solution - Transcription Process With Dictionaries
- Solution - Modelling The Translation Process
- Solution - Challenge 1: Rna Splicing
Functions
- Functions: Definition And Declaration
- Functions: Optional Parameters, Scope And Docstrings
- Functions
- Exercises
- Solution - A Function That Extracts The Proportion (%) Of At's/Cg's
- Solution - Function That Calculates The Recombination Frequency
- Solution - Challenge 1: Hardy Weinberg Theorem - Interpretation Of The Results
Modules
- The Math Module
- The Random Module
- The Time Module
- Modules
- Exercises
- Solution - Generating A Random Dna Sequence
- Solution - Timing The Random Sequence Generation Function
- Solution - Challenge 2: Simulating The Reproduction Of Two Genotypes
Handling Errors And Exceptions In Python
- Types Of Errors And Exceptions In Python
- Try And Except
- Errors And Exceptions
- Exercise
- Solution - Treating Exceptions In A Previous Exercise
Working With Text Files
- Reading And Writing .Txt Files
- Fasta Files
- Working With Files
- Exercises
- Reading A Sars-Cov-2 Sequence With Python
- Solution: Challenge 3 - Part 1
- Solution: Challenge 3 - Part 2
- Bonus Lecture
Instructors
Mr Guilherme Matos Passarini
Professor
Udemy
Other Bachelors, Other Masters, Ph.D