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Introductory R & Data Visualization for Bioinformatics

A Course In Gold Bioinformatics Plan

ENGLISH WITH SUBTITLES IN SPANISH, ENGLISH, FRENCH, ARABIC

27 students

53.99$

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100% Positive reviews (8)

27 students

56 Lessons (05h 48m 08s)

Online and at your own place

Available on your phone

Audio: English

English, Spanish, French, Arabic

Level: INTRODUCTORY

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Introductory R & Data Visualization For Bioinformatics Allows You To Enhance Your Biological Programming Skills In R

 

Everyday Bioinformatics analysis involves bridging together different steps of computational processing into a single pipeline, and then applying that pipeline to many other files repeatedly. Biological data visualization is also an important aspect of bioinformatics which involves the graphical representation of unstructured or structured data to display information hidden in the plots/graphs. 

 

In this course you’ll learn various concepts related to how to write your first script in R, various built-in functions and packages provided by R. Along with, how to write built-in functions in R, work with loops and how to control the flow of your program and script. You’ll also be able to write programs to generate publication-ready and high quality graphical plots of biological datasets to visualize, analyze and compare the datasets in a more insightful way.

 

Joining and learning from the Introductory R & Data Visualization  for Bioinformatics can enhance your biological programming career by learning through various useful & informative pre-recorded lectures on R & various ggplot2 functions to create interactive plots on biological datasets.

Each Plan Includes

Step-by-step pre-recorded lectures

Subtitles (English, Spanish, French, Arabic)

Learn any time, any where!

Transcription

Notes

Coding scripts

BioPresentations

Exercises

Automated Evaluations (MCQs)

100% Authentic Certificate

53.99$

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100% Positive reviews (8)

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27 students

56 Lessons (05h 48m 08s)

Online and at your own place

Available from the phone

Audio: English

Spanish, English, Arabic, French

Level: INTRODUCTORY

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Course Content

C1

C2

C3

C4

C5

C6

C7

C8

C9

C10

C11

C12

C13

C14

C15

C16

C17

C18

Introduction to R & installation of R Studio

Variables & Functions

Vectors & Data Types

Packages

Biological Data Analysis

Control Flow

Introduction to ggplot2 package & its Key Components

Biological Data Visualization

Boxplot

Histogram

Frequence Plot

Bar Chart

Limitations and Scaling

Visualization Manipulations

Phylogenetic Tree Visualization

Visualizations in High Resolution

Volcano Plot

Heatmap

Target Audience

The target audience forIntroductory R & Data Visualization  for Bioinformatics course are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in Bioinformatics scripting and programming.

 

However, a superficial understanding of logic development for coding is expected from you before you join the course.

 

Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.

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Contents

Categories

Lecture Count

Introduction to R & installation of R Studio

3 Lectures

Variables & Functions

5 Lectures

Vectors & Data Types

13 Lectures

Packages

4 Lectures

Biological Data Analysis

13 Lectures

Control Flow

3 Lectures

Introduction to ggplot2 package & its Key Components

2 Lectures

Biological Data Visualization

3 Lectures

Boxplot

1 Lecture

Histogram

1 Lecture

Frequence Plot

1 Lecture

Bar Chart

1 Lecture

Limitations and Scaling

1 Lecture

Visualization Manipulations

1 Lecture

Phylogenetic Tree Visualization

1 Lecture

Visualizations in High Resolution

1 Lecture

Volcano Plot

1 Lecture

Heatmap

1 Lecture

Total Lectures

56 Lectures

Total Duration

05h 48m 08s

Contents

This is what BioCode Courses are Like

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Learn at Your Own Pace

Enjoy learning from home without a set schedule. You set your own timetable.

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Always Accessible

Each instructor teaches only what she/he does best, conveying true passion and excellence in every lesson.

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Front Row Seats

Videos of the highest quality ensure that you don't miss a single detail. With unlimited access, you can watch them over and over.

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Additional Resources

Downloadable transcription files, BioPresentations, and code scripts for each lecture to ensure that you don’t miss a single detail at any step. With automated evaluations & exercise questions, you can track your progress.

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Learn From the Best

Learn valuable methods and techniques explained by top experts in the creative sector.

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Certificate

Demonstrate your course attendance with a certificate signed by the teacher.

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Share Knowledge

Ask questions, request feedback, offer solutions. Share learning with other students in the community.

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Professionally Developed Courses

We selected top creatives and a team of experts to develop the courses. The result? You'll feel like you're working side by side with leading professionals.

The topics covered in Introductory R & Data Visualization for Bioinformatics are also incorporated in the following courses:

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Price: 249.99$

Get started from the very basics to advanced level Bioinformatics analysis and biological programming in Python, BioPython & R. This plan also included all the topics from Basic, Introductory and Intermediate Bioinformatician Courses, in this course you’ll also develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks. You’ll also be learning various concepts related to how to write programs for MicroArray Gene Expression Analysis, and complete end-to-end Linux (BASH) for Bioinformatics.

52 Weeks

00 hours 59 min per week

Included in Advanced Bioinformatician Course

Content Duration:
50 hours 20 min
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Price: 105.99$

Learn biological programming in Python & R from the very basics to intermediate level. Understand various concepts related to how to write R scripts for MicroArray Gene Expression Analysis, ggplot2 biological data visualization & sequence retrieval, alignment, BLAST database searching & phylogenetic analysis in BioPython.

25 Weeks

00 hours 45 min per week

Included in Advanced Bioinformatician Course

Content Duration:
18 hours 43 min
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Price: 199.99$

Get started from the very basics of biological programming in Python, BioPython & R to an advanced level understanding of Bioinformatics Scripting, even if you lack prior knowledge. Understand various concepts related to how to write programs for MicroArray Gene Expression Analysis, ggplot2 biological data visualization & sequence retrieval, alignment, BLAST database searching & phylogenetic analysis in BioPython. You’ll also be learning complete end-to-end Linux (BASH) for Bioinformatics.

52 Weeks

00 hours 28 min per week

Included in Advanced Bioinformatician Course

Content Duration:
23 hours 30 min
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Functional Bioinformatics Internship

The 60-Days Project Based Functional Bioinformatics Internship is specifically catered and designed for Beginners and intermediates in Bioinformatics. This internship covers a complete basics to advance level practical and real-life course and research work. Learn how  to develop in-demand bioinformatics skills in Linux scripting, Bioinformatics databases analysis, Bioinformatics scripting/software development, & Biological data analyst.

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Biological Data Visualization with ggplot2 in R

Get hands-on experience on the basic to advanced level analysis & visualization of biological datasets using the ggplot2 packages in R language. Also learn how to write scripts, preprocess, explore, visualize and analyze biological datasets for more meaningful biological research.

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Understanding Proteins - A Complete Workshop of Protein Bioinformatics Analysis

Get hands-on experience on comprehensive bioinformatics analysis on proteins by learning from the basic bioinformatics databases for the retrieval & analysis of protein sequences and structures, to the advanced level tools and servers for molecular docking and molecular dynamics analysis of biological complexes for computational drug discovery.

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