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)
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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)
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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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
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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
- 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.
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.
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