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Bioinformatics Capstone
Big Data in Biology
Pavel Pevzner
and
Phillip Compeau
Pavel Pevzner
and
Phillip Compeau
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.
Read more
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.
Read more
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.
In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample.
Plus, hacker track students will have the option to build their own genome assembler and apply it to real data!
Register for this course and see more details by visiting:
OpenCourser.com/course/2ybldf/bioinformatics
What's inside
Syllabus
Assembly and Annotation of the SARS-CoV-2 Genome
Variant Detection and Classification of SARS-CoV-2
SARS-CoV-2 Spike Protein Structure Analysis
Read more
Syllabus
Assembly and Annotation of the SARS-CoV-2 Genome
Variant Detection and Classification of SARS-CoV-2
SARS-CoV-2 Spike Protein Structure Analysis
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills for analyzing gene expression data on the tissue level, which is highly relevant in both industry and academia
Builds a strong foundation for beginners in bioinformatics
Offers hands-on labs and interactive materials, which enhance the learning experience
Involves real-world data, which makes the learning more practical
Uses the BaseSpace cloud platform, which is relevant to industry
Taught by instructors who are recognized for their work in bioinformatics
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Save Bioinformatics Capstone: Big Data in Biology to your list so you can find it easily later:
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Reviews summary
Bioinformatics capstone: not recommended
Learners say this bioinformatics course is very difficult to complete due to broken links. While there are some engaging assignments, the final projects are based on difficult and time-consuming peer-reviews. Additionally, Coursera's learning policies can also slow down progress. Overall, most learners do not recommend this course.
Learning pace restricted
"This course, as others in Coursera catalog, suffer from Coursera's new learning policies, which deteriorate the learnang experience, significantly slowing progress towards completion."
Lengthy and difficult
"Every single final project are all based on peer-reviews."
"Peer-reviews take a loooong time."
"I have seen some submissions from 2 years ago!!"
Incomplete course materials
"Links were dead to the data set since a few years ago."
"The course cannot be completed due to absence of the valid URL"
"Important data for this course, as well as vital links, no longer exist."
Career center
Learners who complete Bioinformatics Capstone: Big Data in Biology will develop knowledge and skills
that may be useful to these careers:
Bioinformatics Scientist
Bioinformatics Scientist
A Bioinformatics Scientist must have strong analytical skills and be comfortable with coding to work with large amounts of biological data. They will use this data to help solve complex biological problems. This course may be useful in learning the necessary skills and knowledge to analyze biological data.
Bioinformatics Analyst
Bioinformatics Analyst
A Bioinformatics Analyst will use their knowledge of computer science to manipulate information within biological data. With the help of computational tools, they will analyze this data to help make new discoveries in the field of biology. This course may be useful in learning the necessary techniques and tools to analyze different biological data, such as genome assemblies.
Computational Biologist
Computational Biologist
A Computational Biologist will work in an interdisciplinary field that combines biology and computer science. They will use computational tools to analyze biological data and make new discoveries. This course may be useful in learning the necessary skills and knowledge to analyze biological data and solve biological problems.
Research Scientist
Research Scientist
A Research Scientist will conduct research in a variety of fields, including biology, chemistry, physics, and computer science. They will use their knowledge and skills to make new discoveries and develop new technologies. This course may be useful in learning the necessary skills and knowledge to conduct research in the field of bioinformatics.
Software Engineer
Software Engineer
A Software Engineer will design, develop, and maintain software applications. They will use their knowledge of computer science to create software that meets the needs of users. This course may be useful in learning the necessary skills and knowledge to develop software applications for the field of bioinformatics.
Biostatistician
Biostatistician
A Biostatistician will use their knowledge of statistics and biology to solve problems in the field of biology. They will use statistical methods to analyze biological data and make new discoveries. This course may be useful for building a foundation in analyzing biological data and working with large datasets.
Systems Analyst
Systems Analyst
A Systems Analyst will work with businesses to analyze their systems and processes. They will use their knowledge of computer science and business to identify areas for improvement and develop solutions. This course may be useful in learning the necessary skills and knowledge to analyze systems and processes in the field of bioinformatics.
Science Writer
Science Writer
A Science Writer will communicate complex scientific information to the public. They will use their writing skills to make scientific research and discoveries accessible to a wider audience. This course may be useful in learning the necessary skills to communicate complex scientific information to the public.
Healthcare Data Analyst
Healthcare Data Analyst
A Healthcare Data Analyst will work with large amounts of healthcare data to help improve the quality of care for patients. They will use their knowledge of statistics and computer science to analyze data and identify trends, patterns, and relationships that can be leveraged to make better predictions and provide better care to patients. This course may be useful for building a foundation in analyzing biological data and working with large datasets.
Medical Physicist
Medical Physicist
A Medical Physicist will work in an interdisciplinary field that combines physics and medicine. They will use their knowledge of physics to develop new medical technologies and treatments. This course may be useful for building a foundation in analyzing biological data and working with large datasets.
Health Informatics Specialist
Health Informatics Specialist
A Health Informatics Specialist will work with healthcare data to improve the quality of care for patients. They will use their knowledge of computer science and healthcare to analyze data and identify trends, patterns, and relationships that can be leveraged to make better decisions. This course may be useful for building a foundation in analyzing biological data and working with large datasets.
Data Analyst
Data Analyst
A Data Analyst will work with large amounts of data to help companies make better decisions. They will use their knowledge of statistics and computer science to analyze data and identify trends, patterns, and relationships that can be leveraged to make better predictions. This course may be useful for building a foundation in data analysis and working with large datasets.
Web Developer
Web Developer
A Web Developer will design and develop websites. They will use their knowledge of computer science and design to create websites that are both visually appealing and functional. This course may be useful in learning the necessary skills and knowledge to develop websites for the field of bioinformatics.
Technical Writer
Technical Writer
A Technical Writer will create user manuals, technical documentation, and other written materials to explain complex technical information. They will use their writing skills to make technical information accessible to a wider audience. This course may be useful in learning the necessary skills to communicate complex technical information to the public.
Biomedical Engineer
Biomedical Engineer
A Biomedical Engineer will work in an interdisciplinary field that combines engineering and biology. They will design and develop medical devices and technologies to solve problems in the field of medicine and healthcare. This course may be useful for building a foundation in analyzing biological data and working with large datasets.
For more career information including salaries, visit:
OpenCourser.com/course/2ybldf/bioinformatics
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
Bioinformatics Capstone: Big Data in Biology.
Provides an introduction to bioinformatics algorithms, including topics such as sequence alignment, gene finding, and genome assembly.
Provides a comprehensive overview of bioinformatics, including topics such as sequence analysis, gene expression analysis, and genome annotation.
Provides a comprehensive overview of bioinformatics data skills, including data management, analysis, and visualization. Serves as a valuable reference for practicing bioinformaticians.
Provides an introduction to programming in Python for bioinformatics, including topics such as data structures, algorithms, and software development.
Provides an overview of genomics, including topics such as genome structure, function, and evolution.
Provides a solid foundation in statistical methods commonly used in bioinformatics. Serves as a valuable reference for understanding and applying statistical techniques in this field.
Offers a practical guide to RNA-Seq data analysis, covering experimental design, data analysis, and interpretation. Particularly valuable for researchers working with RNA-Seq data.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2ybldf/bioinformatics
Share
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Effort
3 weeks of study, 3-4 hours/week
Level
Intermediate
Via
Coursera
Institution
University of California San Diego
Instructors
Pavel Pevzner
Phillip Compeau
Language
English
This course belongs to a
collection
called
Bioinformatics. It's comprised of seven courses:
- Molecular Evolution (Bioinformatics IV)
- Finding Mutations in DNA and Proteins (Bioinformatics VI)
- Finding Hidden Messages in DNA (Bioinformatics I)
- Comparing Genes, Proteins, and Genomes (Bioinformatics III)
- Genomic Data Science and Clustering (Bioinformatics V)
- Genome Sequencing (Bioinformatics II)
- Bioinformatics Capstone: Big Data in Biology (viewing)
Good to know
Develops skills for analyzing gene expression data on the tissue level, which is highly relevant in both industry and academia
Builds a strong foundation for beginners in bioinformatics
Offers hands-on labs and interactive materials, which enhance the learning experience
Involves real-world data, which makes the learning more practical
Uses the BaseSpace cloud platform, which is relevant to industry
Taught by instructors who are recognized for their work in bioinformatics
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