Introduction to Python for genetics

BY
Udemy

Learn to simulate and model fundamental biology problems using the programming language Python!

Mode

Online

Fees

₹ 499 3099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

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, four 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
  • Four 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
₹ 499  ₹3,099
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of python Knowledge of genetics

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

  • Course overview
  • About the speed of the lectures

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

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