A Step-by-step Case-study of Human Mitochondrial Proteome
From Dataset Parsing to Beautiful Visualizations
Duration: 3 Days
Lectures: 57
Case-study: 1
When: As soon as your payment is confirmed!
How: Pre-recorded Online Lectures
Learn, Pratice and visualize real-life biological data
Why is Biological Data Visualization Important for Your Research:
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Validating the hypothesis based on visual inspection of the data analysis.
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Quick visualization of large mathematical to better understand the dataset at hand.
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Being able to compare the gene expression intensities among a large set of samples.
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Plotting a bar chart to quickly understand the distribution of the dataset.
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Construction of PCA plot to compare the PCA components among multiple and different samples.
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Visualization of the distance matrix datasets among many biological replicates and samples through heatmaps.
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Creating publishable figures for research papers, proposal and review papers.
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Visualization of the commonly executed biological data analysis, such as principle component analysis, t-test, distributions and much more.
Scope, Skills and Topics
How will this workshop help you
SCOPE
In this pre-recorded, pre-scheduled Biological Data Visualization with ggplot2 in R Workshop, you will be learning skillsets that are required for beautiful, meaningful and interestingly publishable high quality biological data visualization and figures. Even if you don't know programming or R language at all, in this workshop you'll learn R language from the basics to the advanced levels and then apply your script writing skills on data visualizations.
SKILLS
Learning biological data visualization can not only help you in creating beautiful data visualization but also in making impactful decisions during your research based on data visualizations along with publishable figures for your research papers.
TOPICS
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Complete Introduction to R language (view content below)
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Biological Dataset Pre-processing
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Introduction and Basics of ggplot2
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Key Components of a Visualization, Scaling and Labels in ggplot2
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Facet/Scattered Visualizations
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Linear Regression & Smooth Visualizations
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Box plots and Histograms for Pattern-Recognition in Biological Datasets
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Frequency Plots for Information Mining Visualizations.
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Volcano Plots for Gene Expression Datasets
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Heatmaps for Gene Expression and Distance Matrix Datasets
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PCA plot for Principle Component Analysis
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Phylogenetic Tree Visualization Using ggtree
Important Note
You'll be practicing on a case-study of human mitochondrial proteome and genome along with real-world gene expression dataset.
Therefore, you'll not only learn data visualization with ggplot2 in R, but you'll also do real-world biological data visualization in this biological data visualization with ggplot 2 in R workshop.
Our Philosophy
Learning should be at your convenience
We believe that not everyone is a fast learner especially when it comes to Bioinformatics, so our courses and workshops are designed in such a way that you learn at your own pace, during any time of the day and any number of times.
Everything Online, For Everyone
Whether you're a beginner in Bioinformatics, an experimental biologist or a Bioinformatics researcher, our workshop will help you greatly.
Learn effectively with well-curated materials
For an optimal learning experience we carefully prepare our learning materials and example data. So, you comprehend how your newly gained skills can help you do great research!
Workshop Content
Segment 1
Introduction to R Language & Installation
To get started with some exciting data analysis, you first need to learn how to install the RStudio. In this particular segment you’ll also learn for what purposes computational biologists and bioinformaticians are utilizing the RStudio.
Total Videos:
3
Workshop Contents
Some Highlights
Target Audience
The target audience for this Biological data visualization with ggplot2 workshop are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and bioinformatics pipelines for protein analysis.
However, a superficial understanding of molecular biology is expected from you before you join the workshop.
Let's Discuss Benefits
Each Pre-recorded Video Lecture is Associated With
Complete R for Bioinformatics Course
Step-by-step lectures to do data pre-processing and data visualizations in R. (Have a look in the contents section for more details)
Subtitles (English, French, Spanish and Arabic)
Transcription
Notes
BioPresentations
Exercises
Automated Evaluations (MCQs)
100% Authentic Certificate
What Makes Biological data visualization with ggplot 2 Workshop Unique
Hands-on application and creation of biological data visualizations using ggplot2
Complete Learing Phase for R language
Applications on real-world dataset
Pre-recorded lectures, so you can watch, anytime, any where, any number of times.
Case-study workshop so you learn how real-world data visualizations in bioinformatics are done.
Best of all, BioCode is a registered educational institute and a Bioinformatics company both in the UK and Pakistan.
Attendance
Location: Online
Language: English, French, Spanish and Arabic
Available Seats: 20
Registration Fee: 49.99 USD
Key dates
Opening Date of Registration: February 16, 2021
Closing Date of Registration: February 20, 2021
Commencement of Workshop: As soon as your payment is received!
(Join Anytime - Pre-recorded Lectures)
Let's Get You Registered | 3 Days Online Workshop
Biological Data Visualization with ggplot2.
From Dataset Parsing to Beautiful Visualizations
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.
First 20 Participants Will Get Bonus Access to BioCode's in-house Built Visualization R Scripts for Reproducibility Use! <3
REGISTRATION
DETAILS
Registration Fee
Method
Seats
Certification
Batch
49.99$ | 100% money-back guarantee
Online, Pre-recorded
20
Authentic
2nd
Note: Payment is required to get access to the BioCode Workshop Dashboard.
Applicants from Pakistan
Please Make Payment to the Details Below
Bank Name: Faysal Bank Limited
Account Name: BioCode
Account Number: 3024355000009611
IBAN: PK46FAYS3024355000009611
Swift Code: FAYSPKKA126
Branch Code: 3024
Please contact us after making the payment!
