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Differential Gene Expression Analysis - Your Complete A to Z

Do you want to be a bioinformatician but don't know what it entails? Or perhaps you're struggling with biological data analysis problems? Are you confused amongst the biological, medicals, statistical and analytical terms? Do you want to be an expert in this field and be able to design biological experiments, appropriately apply the concepts and do a complete end-to-end analysis?

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Do you want to be a bioinformatician but don't know what it entails? Or perhaps you're struggling with biological data analysis problems? Are you confused amongst the biological, medicals, statistical and analytical terms? Do you want to be an expert in this field and be able to design biological experiments, appropriately apply the concepts and do a complete end-to-end analysis?

This is a comprehensive and all-in-one-place course that will teach you differential gene expression analysis with focus on next-generation sequencing, RNAseq and quantitative PCR (qPCR)

In this course we'll learn together one of the most popular sub-specialities in bioinformatics: differential gene expression analysis. By the end of this course you'll be able to undertake both RNAseq and qPCR based differential gene expression analysis, independently and by yourself, in R programming language. The RNAseq section of the course is the most comprehensive and includes everything you need to have the skills required to take FASTQ library of next-generation sequencing reads and end up with complete differential expression analysis. Although the course focuses on R as a biological analysis environment of choice, you'll also have the opportunity not only to learn about UNIX terminal based TUXEDO pipeline, but also online tools. Moreover you'll become well grounded in the statistical and modelling methods so you can explain and use them effectively to address bioinformatic differential gene expression analysis problems. The course has been made such that you can get a blend of hands-on analysis and experimental design experience - the practical side will allow you to do your analysis, while theoretical side will help you face unexpected problems.

Here is the summary of what will be taught and what you'll be able to do by taking this course:

  • You'll learn and be able to do a complete end-to-end RNAseq analysis in R and TUXEDO pipelines: starting with FASTQ library through doing alignment, transcriptome assembly, genome annotation, read counting and differential assessment

  • You'll learn and be able to do a qPCR analysis in R: delta-Ct method, delta-delta-Ct method, experimental design and data interpretation

  • You'll learn how to apply the knowledge of molecular biology to solve problems in differential gene expression analysis specifically, and bioinformatics generally

  • You'll learn the technical foundations of qPCR, microarray, sequencing and RNAseq so that you can confidently deal with differential gene expression data by understanding what the numbers mean

  • You'll learn and be able to use two main modelling methods in R used for differential gene expression: the general linear model as well as non-parametric rank product frameworks

  • You'll learn about pathway analysis methods and how they can be used for hypothesis generation

  • You'll learn and be able to visualise gene expression data from your experiments

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores differential gene expression analysis, which is standard in the bioinformatics industry
Taught by an expert in bioinformatics, who has a strong reputation in the field
Focuses on practical skills, including hands-on analysis and experimental design
Uses R as the primary programming environment, which is widely used in bioinformatics
Covers a wide range of topics, from basic concepts to advanced methods
Requires some prior knowledge of molecular biology and statistics

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Career center

Learners who complete Differential Gene Expression Analysis - Your Complete A to Z will develop knowledge and skills that may be useful to these careers:
Bioinformatician
A Bioinformatics Analyst designs biological experiments, applies concepts to the experiment, and analyzes the data. They aim to solve biological problems with the help of available biological, medical, statistical, and analytical techniques. This course covers the end-to-end differential gene expression analysis in RNAseq and qPCR. These are key techniques used by Bioinformatics Analysts. The course especially focuses on R as a biological analysis environment.
Computational Biologist
A Computational Biologist develops and applies computational and mathematical methods to analyze and interpret biological data. They use their knowledge of biology, computer science, and mathematics to solve problems in areas such as drug discovery, disease diagnosis, and personalized medicine. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Computational Biologist, as it provides a strong understanding of the computational methods used in the field.
Biostatistician
A Biostatistician analyzes and interprets a wide range of data, including clinical trial data, genomic data, and population health data. They use statistical methods to design studies, analyze data, and draw conclusions about the effectiveness of treatments and interventions. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can be a helpful foundation for those interested in a career as a Biostatistician, as it provides a strong understanding of the statistical methods used in the field.
Data Scientist
A Data Scientist uses their knowledge of mathematics, statistics, and computer science to extract meaningful insights from data. They work in a variety of industries, including healthcare, finance, and retail. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Data Scientist, as it provides a strong understanding of the statistical and computational methods used in the field.
Statistician
A Statistician collects, analyzes, interprets, and presents data. They use their knowledge of statistics to solve problems in a variety of fields, including healthcare, finance, and education. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Statistician, as it provides a strong understanding of the statistical methods used in the field.
Research Scientist
A Research Scientist conducts original research in a specific field of science. They use their knowledge and expertise to design and conduct experiments, analyze data, and draw conclusions. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Research Scientist, as it provides a strong understanding of the research methods used in the field.
Geneticist
A Geneticist studies the genes and chromosomes of living organisms. They use their knowledge of genetics to diagnose and treat genetic diseases, and to develop new therapies. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Geneticist, as it provides a strong understanding of the genetic methods used in the field.
Systems Biologist
A Systems Biologist studies the interactions between different components of a biological system. They use their knowledge of systems biology to develop new models and theories that can help us understand how biological systems work. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Systems Biologist, as it provides a strong understanding of the systems biology methods used in the field.
Molecular Biologist
A Molecular Biologist studies the structure and function of molecules in living organisms. They use their knowledge of molecular biology to develop new drugs and treatments for diseases. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) can provide a helpful foundation for those interested in a career as a Molecular Biologist, as it provides a strong understanding of the molecular methods used in the field.
Health Educator
A Health Educator develops and implements health education programs that promote healthy behaviors and lifestyles. They work with individuals, groups, and communities to improve their health and well-being. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as a Health Educator, as it provides a strong understanding of the biological methods used in health education.
Medical Writer
A Medical Writer creates written materials about medical topics for a variety of audiences. They work with doctors, scientists, and other healthcare professionals to ensure that medical information is accurate, clear, and accessible. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as a Medical Writer, as it provides a strong understanding of the biological methods used in medical writing.
Biomedical Engineer
A Biomedical Engineer designs and develops medical devices and equipment. They use their knowledge of engineering and biology to improve the diagnosis and treatment of diseases. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as a Biomedical Engineer, as it provides a strong understanding of the biological methods used in the field.
Epidemiologist
An Epidemiologist studies the causes and distribution of diseases in populations. They use their knowledge of epidemiology to develop and implement public health programs that can prevent and control diseases. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as an Epidemiologist, as it provides a strong understanding of the biological methods used in epidemiology.
Patent Attorney
A Patent Attorney prepares and files patent applications for inventions. They work with inventors and companies to protect their intellectual property. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as a Patent Attorney, as it provides a strong understanding of the biological methods used in patent law.
Clinical Research Associate
A Clinical Research Associate manages clinical trials for new drugs and treatments. They work with patients, doctors, and other healthcare professionals to ensure that clinical trials are conducted safely and ethically. This course on differential gene expression analysis with focus on RNAseq and quantitative PCR (qPCR) may be helpful for those interested in a career as a Clinical Research Associate, as it provides a strong understanding of the biological methods used in clinical research.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Differential Gene Expression Analysis - Your Complete A to Z.
This text provides a comprehensive introduction to modern bioinformatics, including an overview of the technology underlying today's sequencing and microarray platforms, followed by coverage to data storage and access, data analysis, and statistical methods for handling large datasets.
Covers a wide range of statistical methods used in bioinformatics, including Bayesian inference, phylogenetic analysis, and machine learning.
Provides a foundation in the statistical thermodynamics that underlies many of the methods used to analyze molecular data, particularly in the context of high-throughput sequencing.
Provides a theoretical foundation for the algorithms used to analyze biological data, including those used in gene expression analysis.
Provides a foundation in the statistical concepts that underlie the methods used to analyze gene expression data.

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