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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?
Read more
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?
Read more
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
Register for this course and see more details by visiting:
OpenCourser.com/course/2g9qfj/differential
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Good to know
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
Save this course
Save Differential Gene Expression Analysis - Your Complete A to Z to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Differential Gene Expression Analysis - Your Complete A to Z with these
activities:
Bioinformatics Programming Course Guidelines
Show steps
Become familiar with the course, professor, and prerequisites for the Bioinformatics Programming course.
Show steps
-
Read course syllabus.
-
Review the course grading rubric.
-
Install the necessary software and tools.
-
Complete the pre-course assignment.
Complete the RNA-Seq Workshop
Show steps
Refresh essential RNA-Seq knowledge and gain familiarity with RNASeq analysis pipelines.
Browse courses on
RNA-seq
Show steps
-
Review the basics of RNA-Seq technology.
-
Become familiar with different types of RNA-Seq analysis.
-
Practice using RNASeq analysis pipelines.
Seek Mentorship from Bioinformatics Experts
Show steps
Connect with experienced professionals to gain guidance and support in your differential gene expression analysis journey.
Show steps
-
Identify potential mentors in the field of differential gene expression analysis through networking events, conferences, or online platforms.
-
Reach out to potential mentors and express your interest in learning from them.
-
Establish regular communication and schedule meetings to discuss your progress and seek advice.
-
Follow the guidance and recommendations provided by your mentor.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Join a Study Group for Differential Gene Expression Analysis
Show steps
Engage with peers to discuss and collaborate on differential gene expression analysis concepts and projects.
Show steps
-
Identify or form a study group with individuals who share similar interests in differential gene expression analysis.
-
Establish regular meeting times and set clear goals for each session.
-
Take turns presenting topics, leading discussions, and sharing research findings.
-
Provide feedback and support to other members of the group.
Volunteer as a Bioinformatics Tutor
Show steps
Solidify knowledge by teaching others, enhancing communication and interpersonal skills.
Show steps
-
Contact the academic support center or reach out to students.
-
Offer tutoring services in bioinformatics-related subjects.
-
Provide guidance and support to students seeking assistance.
Complete Tutorials on Differential Gene Expression Analysis
Show steps
Follow tutorials to enhance your skills in differential gene expression analysis.
Show steps
-
Identify reputable online resources or courses that offer tutorials on differential gene expression analysis.
-
Select tutorials that align with your learning goals.
-
Follow the tutorials step-by-step, taking notes and experimenting with the techniques.
-
Apply what you have learned to your own research or projects.
Attend a Bioinformatics Industry Conference
Show steps
Network with professionals, learn about industry trends, and explore career opportunities.
Show steps
-
Research and identify relevant bioinformatics conferences.
-
Register and attend the conference.
-
Attend workshops and presentations.
-
Network with researchers and industry professionals.
Create a Collection of Bioinformatics Resources
Show steps
Gather and organize resources to support your learning and future reference in differential gene expression analysis.
Browse courses on
Bioinformatics
Show steps
-
Identify and collect relevant articles, tutorials, datasets, and software tools related to differential gene expression analysis.
-
Organize the resources into a structured format, such as a digital notebook or online repository.
-
Categorize and tag the resources for easy retrieval.
-
Share your collection with others who may benefit from it.
Create a Bioinformatics Poster
Show steps
Demonstrate proficiency in data analysis, visualization, and scientific communication.
Show steps
-
Choose a research question or dataset.
-
Analyze the data and generate meaningful visualizations.
-
Design and create a visually appealing poster.
-
Present the poster at a conference or symposium.
Practice Differential Expression Analysis Problems
Show steps
Solve differential expression analysis problems to reinforce understanding of concepts and techniques.
Show steps
-
Identify the research question and hypothesis related to differential gene expression.
-
Select appropriate data analysis methods and tools.
-
Perform differential expression analysis using R or other software.
-
Interpret the results and draw conclusions.
Participate in a Bioinformatics Hackathon
Show steps
Gain hands-on experience in solving real-world bioinformatics problems and showcase skills.
Show steps
-
Find and register for a relevant bioinformatics hackathon.
-
Form a team or work independently.
-
Develop and implement innovative solutions to the proposed challenges.
-
Present the results and compete for prizes or recognition.
Create a Bioinformatics Blog Post
Show steps
Write a blog post to demonstrate your understanding of differential gene expression analysis and communicate it effectively.
Show steps
-
Choose a specific topic related to differential gene expression analysis.
-
Research the topic thoroughly.
-
Write a clear and concise blog post explaining the topic.
-
Proofread and edit your blog post.
-
Share your blog post on social media or other platforms.
Contribute to an Open-Source Bioinformatics Project
Show steps
Gain experience in collaborative software development and contribute to the bioinformatics community.
Show steps
-
Identify an open-source bioinformatics project that aligns with interests.
-
Review the project documentation and codebase.
-
Propose and implement improvements or new features.
-
Submit a pull request to the project repository for review.
Bioinformatics Programming Course Guidelines
Show steps
Become familiar with the course, professor, and prerequisites for the Bioinformatics Programming course.
Show steps
Show steps
Show steps
- Read course syllabus.
- Review the course grading rubric.
- Install the necessary software and tools.
- Complete the pre-course assignment.
Complete the RNA-Seq Workshop
Show steps
Refresh essential RNA-Seq knowledge and gain familiarity with RNASeq analysis pipelines.
Browse courses on
RNA-seq
Show steps
Show steps
Show steps
- Review the basics of RNA-Seq technology.
- Become familiar with different types of RNA-Seq analysis.
- Practice using RNASeq analysis pipelines.
Seek Mentorship from Bioinformatics Experts
Show steps
Connect with experienced professionals to gain guidance and support in your differential gene expression analysis journey.
Show steps
Show steps
Show steps
- Identify potential mentors in the field of differential gene expression analysis through networking events, conferences, or online platforms.
- Reach out to potential mentors and express your interest in learning from them.
- Establish regular communication and schedule meetings to discuss your progress and seek advice.
- Follow the guidance and recommendations provided by your mentor.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Join a Study Group for Differential Gene Expression Analysis
Show steps
Engage with peers to discuss and collaborate on differential gene expression analysis concepts and projects.
Show steps
Show steps
Show steps
- Identify or form a study group with individuals who share similar interests in differential gene expression analysis.
- Establish regular meeting times and set clear goals for each session.
- Take turns presenting topics, leading discussions, and sharing research findings.
- Provide feedback and support to other members of the group.
Volunteer as a Bioinformatics Tutor
Show steps
Solidify knowledge by teaching others, enhancing communication and interpersonal skills.
Show steps
Show steps
Show steps
- Contact the academic support center or reach out to students.
- Offer tutoring services in bioinformatics-related subjects.
- Provide guidance and support to students seeking assistance.
Complete Tutorials on Differential Gene Expression Analysis
Show steps
Follow tutorials to enhance your skills in differential gene expression analysis.
Show steps
Show steps
Show steps
- Identify reputable online resources or courses that offer tutorials on differential gene expression analysis.
- Select tutorials that align with your learning goals.
- Follow the tutorials step-by-step, taking notes and experimenting with the techniques.
- Apply what you have learned to your own research or projects.
Attend a Bioinformatics Industry Conference
Show steps
Network with professionals, learn about industry trends, and explore career opportunities.
Show steps
Show steps
Show steps
- Research and identify relevant bioinformatics conferences.
- Register and attend the conference.
- Attend workshops and presentations.
- Network with researchers and industry professionals.
Create a Collection of Bioinformatics Resources
Show steps
Gather and organize resources to support your learning and future reference in differential gene expression analysis.
Browse courses on
Bioinformatics
Show steps
Show steps
Show steps
- Identify and collect relevant articles, tutorials, datasets, and software tools related to differential gene expression analysis.
- Organize the resources into a structured format, such as a digital notebook or online repository.
- Categorize and tag the resources for easy retrieval.
- Share your collection with others who may benefit from it.
Create a Bioinformatics Poster
Show steps
Demonstrate proficiency in data analysis, visualization, and scientific communication.
Show steps
Show steps
Show steps
- Choose a research question or dataset.
- Analyze the data and generate meaningful visualizations.
- Design and create a visually appealing poster.
- Present the poster at a conference or symposium.
Practice Differential Expression Analysis Problems
Show steps
Solve differential expression analysis problems to reinforce understanding of concepts and techniques.
Show steps
Show steps
Show steps
- Identify the research question and hypothesis related to differential gene expression.
- Select appropriate data analysis methods and tools.
- Perform differential expression analysis using R or other software.
- Interpret the results and draw conclusions.
Participate in a Bioinformatics Hackathon
Show steps
Gain hands-on experience in solving real-world bioinformatics problems and showcase skills.
Show steps
Show steps
Show steps
- Find and register for a relevant bioinformatics hackathon.
- Form a team or work independently.
- Develop and implement innovative solutions to the proposed challenges.
- Present the results and compete for prizes or recognition.
Create a Bioinformatics Blog Post
Show steps
Write a blog post to demonstrate your understanding of differential gene expression analysis and communicate it effectively.
Show steps
Show steps
Show steps
- Choose a specific topic related to differential gene expression analysis.
- Research the topic thoroughly.
- Write a clear and concise blog post explaining the topic.
- Proofread and edit your blog post.
- Share your blog post on social media or other platforms.
Contribute to an Open-Source Bioinformatics Project
Show steps
Gain experience in collaborative software development and contribute to the bioinformatics community.
Show steps
Show steps
Show steps
- Identify an open-source bioinformatics project that aligns with interests.
- Review the project documentation and codebase.
- Propose and implement improvements or new features.
- Submit a pull request to the project repository for review.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/2g9qfj/differential
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.
Save
Provides a foundation in the statistical concepts that underlie the methods used to analyze gene expression data.
Provides a comprehensive overview of machine learning methods, which are increasingly used to analyze gene expression data.
Provides a comprehensive overview of machine learning methods, which are increasingly used to analyze gene expression data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2g9qfj/differential
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Effort
8.5 total hours
Via
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Good to know
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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