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What is Bioinformatics?

Bioinformatics is an interdisciplinary field that uses computational tools to deal with large and complex biological datasets. Bioinformatics overlaps with biology, computer science, mathematics, information engineering, and statistics to apply computational research on experimental biology research.


It involves various processes for the analysis of biological data, such as:

  • Retrieving

  • Storing

  • Organizing

  • Analyzing

  • Visualizing

Learn more about Biological Data Analysis & Visualization

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What’s The Difference Between Bioinformatics And Computational Biology?

Biology made it possible for us to understand how the machine or the body with a life works. We used the principle of Physics and Chemistry in Biology and created separate fields of study which we refer to as Biophysics and Biochemistry respectively.  Bioinformatics use the Mathematical, Statistical and Computational approach to solve the problems related to Biology. Bioinformatics is more about utilizing the biological data and expanding your skills to deal with these biological data by database and software development.

Learn more about Bioinformatics Vs Traditional Biological Sciences

Why Should You Learn Bioinformatics?

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  • Learning Bioinformatics can enhance your biology career and research by a great merging as compared to other biologists with lack of Bioinformatics knowledge and skills.

  • Bioinformatics analysis provides an understanding of the huge mass of biological datasets that is being produced as a result of the post-genomic era, hence, playing an essential role in the biomedical and biotechnological research areas of this century.

  • Expertise in the field of Bioinformatics is highly valued. The employability of bioinformaticians keeps broadening up due to innovative technological advances in the field of bioinformatics  and the ability of bioinformaticians to changes are their intrinsic traits.

  • Bioinformaticians are in high demand in academia, research and industry because of the fact that a very few people have the education and skills to fill the available positions.

  • Bioinformaticians enjoy a vast range of research and professional jobs and earn competitive starting salaries. Learning bioinformatics is a determined bet to professional success.

Impact of Bioinformatics

Genomic Data Analysis

Analyzing and interpreting genomic data/sequences that go through sequence assembly and annotation for the identification of a particular species/organism/gene.

Gene Expression Analysis

Measuring the mRNA levels through various techniques is the basics for understanding the expression patterns of genes and proteins.

Prediction of Evolutionary Relationships

Comparing the biological datasets helps in comprehending the evolutionary basis of organisms, predicting speciation, allows the study of complex evolutionary events, and much more.

Health & Medicinal Advancements

These practices are targeting personalized medicine and specific diseases, such as cancer. Cancer Bioinformatics playing an important role in the identification and validation of networks to dynamic network biomarkers.

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How Should You Get Started?

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Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics algorithms, programming languages.

Let’s guide you the process to become a bioinformatician, you should have skills in:

  • Sequence Retrieval, Analysis and Alignment

  • Genome Analysis, Assembly, Annotation

  • Gene Prediction

  • Protein Analysis and Structure Prediction

  • phylogenetic analysis, Population Genetics and Genomics

  • Molecular Docking, Virtual Screening

  • Expertise in any scripting language such as Python/R/Perl/BASH.

  • Microarray and NGS (RNA-Seq, ATAC-seq, Single-cell) for Gene Expression Analysis


Busy Schedule? No Problem

Pre-recorded Courses

For Absolute Beginners and Advanced Learners

For Biologists of All Fields

100% Feedback & Money-back Guarantee

Well-designed Courses

Learn at your own pace, anytime, anywhere

The courses cover both theoretical and practical aspects of the topics.


There are multiple courses provided by BioCode such as:

  • Biological Programming in BASH, Python & R  

  • Bioinformatics tools, databases and servers.

  • Biological Data Analysis and Visualization 

  • And many more.

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!

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To Get Started

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Join Gray Bioinformatics to Become a Bioinformatician

If you’re interested in learning and becoming an expert in Bioinformatics analysis through BioCode’s various useful & informative pre-recorded lectures on Bioinformatics tools, databases and servers to get expertise in:

  • Biological Data Analysis and Visualization

  • Sequence Alignment & Analysis

  • 3D Structure Prediction & Analysis

  • Molecular Docking

  • And many more

Join Gold Bioinformatics to Become an Expert Bioinformatics Programmer

If you’re particularly interested in learning biological programming and scripting through BioCode’s various useful & informative pre-recorded tutorials on:

  • Python

  • R

  • Linux

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Join Gem Bioinformatics to Become an Advanced Bioinformatician

If you are willing to learn all of BioCode's courses integrated into a single plan to learn every aspect of Bioinformatics from basic to advanced level and develop your expertise in:

  • Biological Programming in Linux, Python & R  

  • Bioinformatics tools, databases and servers

  • Biological Data Analysis and Visualization 

  • And many more.

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