7 Best Online Courses On An Introduction To Bioinformatics

There is an unprecedented rise in the amount of biological data being generated worldwide. With the need for tools to analyze and interpret these data, there is a huge demand for skilled bioinformaticians across various sectors of industries.  Bioinformatics is a fast-growing, interdisciplinary field that lies at the intersection of molecular biology, computer science, math, and statistics. To help you gain the right bioinformatics skill sets and help advance your career in this field, below we have compiled the 7 Best Online Courses On An Introduction To Bioinformatics.

Online Courses

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The European Bioinformatics Institute (EBI) is part of the European Molecular Biology Laboratory (EMBL), an intergovernmental research organization. The EBI aims to help scientists and researchers realize the potential of big data biology in unraveling the mysteries behind complex biological data to make discoveries that will benefit mankind. 

 

EMBL-EBI Online Courses

 

The course is designed for students with undergraduate-level knowledge of life scientists who are interested in learning about bioinformatics. This course introduces you to the subject of bioinformatics, explaining the role of databases in bioinformatics and how to search for protein structures in the Protein Data Bank. Other topics covered in this course include fundamental concepts involved in bioinformatics data management, finding gene and protein expression data, finding protein sequence and functional information data, and finally the “collection challenge section” that encourages the learners to apply the concepts studied so far to solve problems.  To know more, you can visit the website - https://www.ebi.ac.uk/training/online/courses/introductory-bioinformatics-pathway/  

 

Wellcome Connecting Science is located at the Wellcome Genome Campus, Cambridge shire, UK. Their aim is to enable everyone to explore genomic science and its impact on research, health, and society. The “Bacterial Genomes I: From DNA to Protein Function Using Bioinformatics” course has more than 30,000 students enrolled and has an overall rating of 4.8/5. Further, this course is approved by the Royal College of Pathologists for 10 continuous professional development credits.   

 

Course offered by Wellcome connecting Science

 

The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals, and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. After completing this course, the learners will be able to assess DNA representations and protein sequences, perform searches in primary databases (repositories), retrieve gene/protein data, interpret different repository submission formats, investigate biological databases for research, and identify the putative function of proteins based on their conserved domains. The course is repeated twice a year on the Future Learn platform. You can sign up for their platform to know when it starts again - https://www.futurelearn.com/courses/bacterial-genomes-bioinformatics 

 

The Center for Bioinformatics at Peking University is the first bioinformatics center founded in China in 1996. Peking University is a member of the elite Double First Class University Plan and the C9 League of Chinese universities. The Center for Bioinformatics continues to be the first and largest online bioinformatics resource in China. The Bioinformatics: Introduction and Methods course currently has more than 27,000 students enrolled and has a 4.4/5 rating. 

 

Bioinformatics Course Perking University

 

The course is designed for undergraduates and first-year graduate students in bioinformatics, molecular biology, genetics, computer science, mathematics, statistics, or physics. The course covers topics on essential concepts and the history of bioinformatics, sequence alignment algorithms, analyzing Next Generation Sequencing data using bioinformatics tools, functional prediction of genetic variants, analyzing RNA-Seq data, predicting and analyzing non-coding RNAs from transcriptomic data, ontology and identification of molecular pathways, bioinformatics databases and software resources, detection of the origination of new genes, and finally evolution function analysis of DNA methyltransferase using bioinformatics methods. To know more about the course, kindly visit the page - https://www.coursera.org/learn/bioinformatics-pku 

 

Harvard Extension School is an extension school of Harvard University in Cambridge, Massachusetts, and is one of the early adopters of distance education. Students who enroll will get the opportunity to engage with their instructor and participate in peer discussions - all from the comfort of your home or office.  About 70% of the courses offered by Harvard Extension School are online with an overall satisfaction rate of 4.3/5. 

Harvard University course

 

The course is designed for undergraduates and graduates who have some basic knowledge of molecular biology. As per the information provided on their website, the topics covered in their course include sequence alignment, motif detection, conservation analysis, Markov models, short-read sequencing data alignment and assembly, variant detection and visualization, peak calling, gene expression analysis, clustering methods, standard formats, and random access tools, and performance analysis. Web-based tools and databases are covered, and pipeline development frameworks and cloud-based approaches are discussed briefly. This course does not include artificial intelligence/machine learning techniques or theoretical analysis of algorithms. To know more about the course structure and availability, kindly visit the website - https://courses.dce.harvard.edu/ 



The University of Toronto St. George is a public research university located in Ontario, Canada. Driven to invent and innovate, the University of Toronto (established in 1827) is the birthplace of several major scientific breakthroughs, including the discovery of insulin and the first artificial cardiac pacemaker. The Bioinformatic Methods I is Part I of the Plant Bioinformatic Methods Specialization and has more than 95,000 students enrolled with an overall rating of 4.7/5.  

University of Toronto course

 

The course is designed for upper-level undergraduates and graduates who have some understanding of basic molecular biology. The course begins by introducing the learners to the various resources available at the National Center for Biotechnology Information, then describes how to conduct different types of BLAST searches - BlastP, PSI-Blast, and Translated Blast perform multiple sequence alignments with Clustal, MUSCLE, and MAFFT, and conduct phylogenetic analyses using neighbor-joining and maximum likelihood methods. It also introduces the concept of selection analysis and explores some RNA-Seq data and metagenome data sets. The course will be useful for students interested in biological sciences or molecular medicine. To know more about the various courses available under Plant Bioinformatic Methods Specialization, kindly visit the page - https://www.coursera.org/learn/bioinformatics-methods-1.    

 

Located in San Diego, California, the University of California San Diego is one of the top 10 public universities as per the U.S. News and World Report. Finding Hidden Messages in DNA (Bioinformatics I) is Part I of the Bioinformatics Specialization Offered By UC San Diego. The course has been named the top 50 Massive Open Online Course of all time by Class Central. With over 87,000 students enrolled, the course has an overall rating of 4.4/5.  

UC San Diego

 

The course is designed for students from biological science, computer science, and related fields who wish to learn how to answer questions in modern biology using computational approaches. This course focuses on two fundamental questions at the forefront of modern computational biology - “Where in the Genome Does DNA Replication Begin?” and “Which DNA Patterns Play the Role of Molecular Clocks?”. In this course, you can learn about how DNA replicates in a cell and how we can use this knowledge to design intelligent algorithms to look for replication origin in a bacterial genome. The course also introduces motif finding algorithms, designing randomized algorithms to find motifs, and how to hunt for motifs in a biological dataset. To know more about the various courses available under Bioinformatics Specialization, kindly visit the page - https://www.coursera.org/learn/dna-analysis 

 

OmicsLogic is a training program developed by Pine Biotech in collaboration with the Tauber Bioinformatics Research Center from the University of Haifa, Israel. OmicsLogic programs are developed using project-based content that is enriched with multimedia content. The programs are divided into 5-10 minute modules with videos, quizzes, and assignments that can be completed independently. All commonly used omics data types are explained from a biological and data analysis perspective.

OmicsLogic Course

 

This course is designed to introduce undergraduate and graduate-level students in biology or related fields to the field of bioinformatics, or the intersection of informatics and biology, and the opportunities that come with the available big data for research and industry. The course is divided into three major lessons - Introduction to Big Data: Bioinformatics, Bioinformatics in Healthcare, and finally Translational Bioinformatics. The first lesson on Introduction to Big Data: Bioinformatics introduces the learners to the fundamental concepts of bioinformatics and big data and discusses their opportunities and challenges. In addition to this, you can also learn about how data-driven research is revolutionizing the way biomedical research is carried out nowadays and explore a few real-life examples where we see applications of big data in healthcare. The second lesson on Bioinformatics in Healthcare further explores the power of big data bioinformatics analysis in personalized healthcare through the discovery of patient-specific biomarkers for diagnostics and by data-driven drug discovery to improve treatment methods. The last lesson on Translational Bioinformatics discusses bioinformatics applications in environmental science, agriculture, defense, public health, and more! To enroll in the course for free, click on the link provided - https://learn.omicslogic.com/courses/course/course-1-introduction-to-bioinformatics  

If you are interested to know more about this course, you can read about the course, and review the blog titled “Introduction To Bioinformatics: The Beginning Of A Career” written by our intern Maria Victoria Luz who has completed this course.    

In the Basic Subscription which is completely free, you can enroll in the two introductory courses - Course 1: Introduction to Bioinformatics and Course 2: Bytes and Molecules and receive a free certificate upon completion. Once completing the courses, you can upgrade to a Starter Subscription at $10/month which gives you access to complete materials on each topic, certificates for courses and projects, specialization projects, and demo pipelines on the T-BioInfo server. To use our platform for research, select Unlimited or Research Subscription.  

Visit the link provided to know more about the various subscriptions that we offer -  

 

Subscription pack

 

We also have an upcoming one-month online program on Introduction to Big Data Bioinformatics from April 11, 2022 - to May 11, 2022. This online program is designed for everyone including students who do not have a background in Bioinformatics and biologists to learn about NGS data analysis processing sections: Genomics, Transcriptomics, and Metagenomics. As a result, participants will become proficient in the analysis and interpretation of various types of -omics data using bioinformatics, including commonly used statistical and machine learning techniques. The topics covered in this program are big data biology, genomics, transcriptomics, biomedical data science, and machine learning for NGS data

 

So how is this program different from our Course 1: Introduction to Bioinformatics? The Introduction to Big Data Bioinformatics program covers each of the topics mentioned in the course in great detail - from introductory to advanced level. You also get access to one-on-one mentor guidance for the entire program to address any technical or conceptual challenges. You will also have the opportunity to upload your own dataset and build pipelines on the T-BioInfo platform. To know more about the program, visit the page - https://learn.omicslogic.com/programs/introduction-to-big-data-bioinformatics  

 

Still, facing trouble deciding which course to start with!

Check out the table provided below to find which course would be suitable for you based on the prerequisites required before enrolling, duration, price, and the availability of a certificate upon completion of the course.  

 

SL.NO

COURSE NAME

PREREQUISITES

DURATION

PRICE

CERTIFICATION

1

Introductory Bioinformatics - Offered By EMBL-EBI

No prior skills are required, but undergraduate-level knowledge of life sciences would be useful.

Approximately 2-3 hours

Free

Not available

2

Bacterial Genomes I: From DNA to Protein Function Using Bioinformatics - Offered By Wellcome Connecting Science

It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained.

Approximately 10 hours

Free

Free

3

Bioinformatics: Introduction and Methods - Offered By Peking University

Students should have a basic knowledge of molecular biology and computational sciences, including familiarity with basic terms such as ‘‘gene,’’ ‘‘genome,’’ ‘‘expression,’’ and ‘‘regulation,’’ essential concepts such as probability theory and linear algebra.

Approximately 25 hours

Free

Paid certificate available

4

Introductory Bioinformatics - Offered By Harvard Extension School

Basic knowledge of molecular biology (DNA, RNA, and protein) is required. Knowledge in genomics and epigenetics is a plus but not required. Statistics and programming skills are a plus but not required.

Approximately 26 hours

Undergraduate: $1920; Graduate: $2980; Noncredit: $1500

Paid certificate available

5

Bioinformatic Methods I - Part I of Plant Bioinformatic Methods Specialization - Offered By University of Toronto

A basic understanding of molecular biology is required. No programming is required for this course.

Approximately 20 hours

Free

Paid certificate available

6

Finding Hidden Messages in DNA (Bioinformatics I) - Part I of Bioinformatics Specialization - Offered By UC San Diego

Although this Specialization centers on computational topics, you do not need to know how to program. If you are interested in programming, they feature an "Honors Track" that allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges.

Approximately 16 hours

Free

Paid certificate available

7

Course 1: Introduction to Bioinformatics - Offered By OmicsLogic

None

Approximately 10 hours

Free

Free

 

To know more about the various courses and programs offered by OmicsLogic, click on the link provided here - https://learn.omicslogic.com/ or write to us at marketing@pine.bio. Happy learning!