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.
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Plant Bioinformatic Methods SpecializationUniversity of TorontoAbout this Course
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Learner Career Outcomes
24%
started a new career after completing these courses
30%
got a tangible career benefit from this course
17%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 20 hours to complete
English
Subtitles: English
Skills you will gain
Genetic AnalysisBioinformatics AnalysisEvolutionComparative Genomics
Learner Career Outcomes
24%
started a new career after completing these courses
30%
got a tangible career benefit from this course
17%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 4 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 20 hours to complete
English
Subtitles: English
Offered by
University of Toronto
Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe.
Syllabus - What you will learn from this course
3 hours to complete
NCBI/Blast I
In this module we'll be exploring the amazing resources available at NCBI, the National Centre for Biotechnology Information, run by the National Library of Medicine in the USA. We'll also be doing a Blast search to find similar sequences in the enormous NR sequence database. We can use similar sequences to infer homology, which is the primary predictor of gene or protein function.
3 hours to complete
4 videos (Total 51 min), 4 readings, 1 quiz
4 readings
Acknowledgements10m
Course Logistics10m
Lecture Materials10m
Lab 1 -- Exploring NCBI1h 30m
1 practice exercise
Lab 1 Quiz30m
3 hours to complete
Blast II/Comparative Genomics
In this module we'll continue exploring the incredible resources available at NCBI, the National Centre for Biotechnology Information. We will be performing several different kinds of Blast searches: BlastP, PSI-Blast, and Translated Blast. We can use similar sequences identified by such methods to infer homology, which is the primary predictor of gene or protein function. We'll also be comparing parts of the genomes of a couple of different species, to see how similar they are.
3 hours to complete
4 videos (Total 58 min), 2 readings, 1 quiz
2 readings
Lecture Materials10m
Lab 2 -- Advanced Blast and Comparative Genomics1h 30m
1 practice exercise
Lab 2 Quiz30m
3 hours to complete
Multiple Sequence Alignments
In this module we'll be doing multiple sequence alignments with Clustal (as implemented in MEGA), DiAlign, and MAFFT. Multiple sequences alignments can tell you where in a sequence the conserved and variable regions are, which is important for understanding the biology of the sequences under investigation. It also has practical applications, such as being able to design PCR primers that will amplify sequences from a number of different species, for example.
3 hours to complete
4 videos (Total 44 min), 2 readings, 1 quiz
2 readings
Lecture Materials10m
Lab 3 -- Multiple Sequence Alignment1h 30m
1 practice exercise
Lab 3 Quiz30m
1 hour to complete
Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments
1 hour to complete
1 practice exercise
Quiz: Modules 1-330m
Reviews
TOP REVIEWS FROM BIOINFORMATIC METHODS I
by SAJul 11, 2020
This course is very well organized, easy to understand, and explained everything steps by step which will help to grasp the concept easily. If you are a beginner like me, you should take this course.
by EDApr 26, 2017
Great course. All lectures provide a biological context for the tools you learn in the labs. The labs themselves provide a great introduction to the many tools available for bioinformatic analysis.
by RGNov 4, 2017
I enjoyed doing the course. It is exciting to see how much one can learn from a few gene or protein sequences. Thank you for making the course understandable to a beginner in bioinformatics!
by FJFeb 5, 2017
The videos were very clear on how to use various bioinformatic tools. I found no difficulty in understanding them. Really enjoyed the course. Looking forward to the next part of this course!
About the Plant Bioinformatic Methods Specialization
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
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