Learn Bioinformatics 2025 – Best Bioinformatics Courses & Best Bioinformatics Books & Best Bioinformatics Tutorials

Best Bioinformatics Courses 2021

 

Best Bioinformatics Tutorials 2021

Genetics and Next Generation Sequencing for Bioinformatics

Interested in entering the field of bioinformatics, but you don’t know enough about DNA, RNA and genetics? Are you curious about the recent advancements in DNA sequencing technology and how it can be applied to personalized cancer therapy and disease research? Do you want to use bioinformatics tools to analyze the data generated by next generation sequencing?

At the end of this course:

You will have a solid foundation in DNA, RNA and genetics
You will have an in-depth understanding of next-generation DNA sequencing analysis
You will use a cloud-based platform called Galaxy for the analysis of large data sets
You will assess the quality of the raw data
You will use FastQC and Trimmomatic to improve data quality

This course is a starting point in NGS. It covers the prerequisites of biology and quality control. Future courses will cover data analysis in more detail.

Project:

This course includes a step-by-step guided project.
This project will assess the quality of raw data from an Illumina sequencer.

You will then use FastQC and Trimmomatic to improve the quality of this data.

Preconditions:

Secondary 10 biology and chemistry
Basic statistics such as interpreting graphs, histograms and whisker plots
You have to take advantage of biology

This is an ideal introductory course for those with no previous experience in next-generation sequencing analysis.

Learn Bioinformatics in 6 Days

This is a self-paced course that fits your own busy daily schedules. At your own pace, you have the freedom to complete each topic according to your own available time before moving on to the next chapter without rushing. Basically, I will teach you 6 fundamental subjects in bioinformatics. Just to let you know, I don’t intend to cover a basic programming course here. Udemy has many great programming courses that can be applied in a bioinformatics setting. So please at least equip yourself with Python, Perl, PHP, Java, SQL and R programming. It will really help you take off faster as a bioinformatician in the near future. In 6 days, you will learn through video conferences and tutorials on:

Day 1 – Introduction to bioinformatics

We will begin this course with a brief definition of bioinformatics – what exactly it is and the importance of this field in the scientific world. In addition, I will share with you the story of the birth of bioinformatics – the reason it was invented.

Day 2 – Bioinformatics databases

One of the reasons bioinformatics exists is due to the increased amount of biological data sets. These are huge scientific research results that must be managed. In this chapter, you will first learn how data is stored and handled. Next, I will begin to introduce you to nucleotide databases. Bioinformatics is all about managing data and delivering scientific knowledge. In this chapter, we will also focus on protein databases. These two types of databases complement each other and are both important for your studies. An example database we’ll cover here is UniProt.

Day 3 – Alignment of sequences

This is one of my favorite chapters. Have you ever wondered how two sequences are compared using two different sequence alignment algorithms? Consider aligning 100 DNA sequences at a time – is there a way to perform multiple sequence alignment? In this chapter, I’ll teach you how to perform global and local sequence alignments – these are the basic concepts of scoring matrices. Let’s get serious with bioinformatics from now on!

Day 4 – BLAST programs

Yeah! Also my favorite! I’m going to teach you how to perform local sequence alignment using a bioinformatics tool known as BLAST (Basic Local Alignment Search Tool). We will review BLAST nucleotide and protein sequence programs and learn how to read and interpret BLAST results in detail.

Day 5 – Molecular phylogenetics

Let’s get right to the point. You are unique and unique! If you’re a huge fan of X-Men and other Hollywood sci-fi movies about aliens, superhumans, men with extraordinary powers, or even our diversity, now is the time to pay attention to this module. I will explain to you how species are identified and classified using genetic data. To do this, we will also study several types of phylogenic analysis algorithms and build a tree of life from a specific set of sequences. Don’t skip this session!

Day 6 – Genome analysis

In this module, you will discover a genome. We will take a close look at structural and comparative genomics. The detailed parts start with sequencing technologies and are followed by genome assembly and annotation.

Bioinformatics with Python

Did you know that the human genomic sequence, if printed in a normal text font, would stretch 5000 km, which is the distance from London to Montreal, Los Angeles to Panama, Accra to Cape Town, from Tokyo to Calcutta.

This same sequence would fill approximately 3,000 books the size of a normal book.

Understanding and analyzing this sequence is clearly going to be a huge task.

But with the advent of powerful tools and databases, we may be able to grasp a simple understanding of some of its aspects.

In this introductory course, we will explore the different Python tools and libraries used to analyze DNA, RNA, and genome sequence.

Therefore, if you want to analyze a large amount of biological data or if you are curious about DNA sequence, protein synthesis and vaccine design. Then this course is for you.

Whether you are a student or researcher, data scientist or bioinformatics engineer, computational biologist, this course will serve as a useful guide for you to do bioinformatics in Python.

We will explore bioinformatics with BioPython, Biotite, Scikit-Bio, BioJulia and more.

Data is everywhere, biological data is in every living organism, let’s analyze it to get useful information

We will learn

how to do sequence analysis with BioPython, Biotite, etc.

how to perform sequence alignment with code.

how to create our own custom functions to analyze DNA, RNA and proteins.

how to do bioinformatics with Python.

how to analyze the DNA sequence of Covid 19, MERS and more.

NOTE: This is an introductory course structured as a reference material for anyone interested in bioinformatics with python.

Best Bioinformatics Books 2021

Bioinformatics: Sequence and Genome Analysis 2nd Edition

Bioinformatics: Sequence and Genome Analysis 2nd Edition by David Mount

Bioinformatics: A Practical Handbook of Next Generation Sequencing and Its Application

Bioinformatics: A Practical Handbook of Next Generation Sequencing and Its Application by Lloyd Low and Martti Tammi. Rapid advances in technology have led to increasingly efficient sequencing approaches. Next-generation sequencing (NGS) is becoming more common and cost-effective, generating an explosion of sequenced data that needs to be analyzed. The skills needed to apply computational analysis to guide research in a wide range of applications, including identifying the causes of cancer, designing vaccines, new antibiotics, drug development, personalized medicine, and higher yields in agriculture , they are highly sought after.

This invaluable book provides step-by-step guides on complex topics that make it easy for readers to perform essential analyzes from raw sequenced data to answering important biological questions. It is an excellent practical material for teachers who teach bioinformatics courses and as a reference material for professionals. The chapters are written to be stand-alone recipes, which is suitable for readers who want to learn selected topics on their own. Readers will gain the skills to work with sequenced data from NGS platforms and thus become more attractive to employers who need trained bioinformatics to handle the flood of data.

Readers: It is an indispensable companion for undergraduate, graduate students, researchers, and anyone interested in the exponentially growing field of bioinformatics.

Bioinformatics Programming Using Python: Practical Programming for Biological Data

by Mitchell L. Model

Bestsellers