Course Summary
This course covers various bioinformatics methods and tools for analyzing and interpreting genomic data.Key Learning Points
- Learn to use popular bioinformatics tools and software for analyzing genomic data
- Understand the applications of bioinformatics in different areas of biology
- Gain hands-on experience with real-world genomic datasets
Related Topics for further study
Learning Outcomes
- Use bioinformatics tools to analyze genomic data
- Understand the biological significance of genomic data analyses
- Apply computational methods to solve biological problems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of molecular biology and genetics
- Programming experience in any language
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Bioinformatics for Beginners
- Genomic Data Science
Related Education Paths
Notable People in This Field
- Director of the European Bioinformatics Institute
- Bioinformatics Software Engineer at the National Biodefense Analysis and Countermeasures Center
Related Books
Description
Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.
Outline
- Protein Motifs
- Introduction
- Lecture
- Lab Discussion
- Summary
- Acknowledgements
- Course Logistics
- Lecture Materials
- Lab 1 -- Protein Domain, Motif and Profile Analysis
- Lab 1 Quiz
- Protein-Protein Interactions
- Introduction
- Lecture
- Lab Discussion
- Summary
- Lecture Materials
- Lab 2 -- Protein-Protein Interactions
- Lab 2 Quiz
- Protein Structure
- Introduction
- Lecture
- Lab Discussion
- Summary
- Lecture Materials
- Lab 3 -- Structural Bioinformatics
- Lab 3 Quiz
- Review: Protein Motifs, Protein-Protein Interactions, and Protein Structure
- Quiz: Protein Motifs, Protein-Protein Interactions, and Protein Structure
- Gene Expression Analysis I
- Introduction
- Lecture
- Lab Discusssion
- Summary
- Lecture Materials
- Lab 4 -- Gene Expression Analysis I
- Lab 4 Quiz
- Gene Expression Analysis II
- Introduction
- Lecture
- Lab Discussion
- Summary
- Lecture Materials
- Lab 5 -- Gene Expression Data Analysis II
- Lab 5 Quiz
- Cis Regulatory Systems
- Introduction
- Lecture
- Lab Discussion
- Summary
- Lecture Materials
- Lab 6 -- Cis Regulatory Element Mapping and Prediction
- Lab 6 Quiz
- Review: Gene Expression Analysis and Cis Regulatory Systems + Final Assignment
- Final Assignment Instructions
- Quiz: Modules 5-7
- Final Assignment
Summary of User Reviews
Bioinformatics Methods 2 is a highly rated course on Coursera that covers advanced topics in bioinformatics. Many users praised the course for its in-depth and practical approach to the subject matter.Key Aspect Users Liked About This Course
The course is praised for its practical approach to the subject matterPros from User Reviews
- In-depth coverage of advanced topics in bioinformatics
- Practical assignments and projects that help students apply what they have learned
- Engaging and knowledgeable instructors who are experts in their field
- Flexible schedule and self-paced learning options
- High-quality video lectures and interactive course materials
Cons from User Reviews
- The course can be challenging for students without a strong background in bioinformatics
- Some users found the course materials to be outdated or difficult to follow
- The course may not be suitable for beginners or those looking for a more general introduction to bioinformatics
- The course requires a significant time commitment and may be difficult to complete alongside other obligations
- Some users found the course to be too technical and specialized
Nicholas James Provart
4.7 Raiting
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