This course is part of the Plant Bioinformatic Methods Specialization

Nicholas James Provart

Offered By

Plant Bioinformatic Methods SpecializationUniversity of Toronto

About this Course

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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. 
Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. 

The first part, Bioinformatic Methods I (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. 

The second part, Bioinformatic Methods II, covers motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. 

This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. Both provide an overview of the many different bioinformatic tools that are out there. 

These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course. 

Bioinformatic Methods I is regularly updated, and was completely updated for January 2020.

Learner Career Outcomes

21%

started a new career after completing these courses

27%

got a tangible career benefit from this course

16%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Course 1 of 4 in the

Plant Bioinformatic Methods Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 20 hours to complete

English

Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Skills you will gain

Genetic AnalysisBioinformatics AnalysisEvolutionComparative Genomics

Learner Career Outcomes

21%

started a new career after completing these courses

27%

got a tangible career benefit from this course

16%

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

Plant Bioinformatic Methods Specialization

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 20 hours to complete

English

Subtitles: French, Portuguese (Brazilian), Russian, English, Spanish

Instructor

Instructor rating

4.72/5 (169 Ratings)

Nicholas James Provart

Professor

Cell & Systems Biology

95,767 Learners

4 Courses

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

Content Rating98%(7,901 ratings)

Week

Week 1

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 videos

Introduction1m

Lecture24m

Lab Discussion24m

Summary

4 readings

Acknowledgements10m

Course Logistics10m

Lecture Materials10m

Lab 1 -- Exploring NCBI1h 30m

1 practice exercise

Lab 1 Quiz30m

Week

Week 2

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

4 videos

Introduction2m

Lecture32m

Lab Discussion23m

Summary

2 readings

Lecture Materials10m

Lab 2 -- Advanced Blast and Comparative Genomics1h 30m

1 practice exercise

Lab 2 Quiz30m

Week

Week 3

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

4 videos

Introduction1m

Lecture25m

Lab Discussion17m

Summary

2 readings

Lecture Materials10m

Lab 3 -- Multiple Sequence Alignment1h 30m

1 practice exercise

Lab 3 Quiz30m

Week

Week 4

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

Week

Week 5

3 hours to complete

Phylogenetics

In this module we'll be using the multiple sequence alignments we generated last lab to do some phylogenetic analyses with both neighbour-joining and maximum likelihood methods. The tree-like structure generated by such analyses tells us how closely sequences are related one to another, and suggests when in evolutionary time a speciation or gene duplication event occurred.

3 hours to complete

4 videos (Total 42 min), 2 readings, 1 quiz

4 videos

Introduction1m

Lecture26m

Lab Discussion14m

Summary

2 readings

Lecture Materials10m

Lab 4 -- Phylogenetics1h 30m

1 practice exercise

Lab 4 Quiz30m

Week

Week 6

3 hours to complete

Selection Analysis

In this module we'll take a set of orthologous sequences from bacteria and use DataMonkey to analyze them for the presence of certain sites under positive, negative or neutral selection. Such an analysis can help understand the biology of a set of protein coding sequences by identifying residues that might be important for biological function (those residues under negative selection) or those that might be involved in response to external influences, such as drugs, pathogens or other factors (residues under positive selection).

3 hours to complete

4 videos (Total 38 min), 2 readings, 1 quiz

4 videos

Introduction2m

Lecture24m

Lab Discussion10m

Summary1m

2 readings

Lecture Materials10m

Lab 5 -- Selection Analysis1h 30m

1 practice exercise

Lab 5 Quiz30m

Week

Week 7

3 hours to complete

'Next Gen' Sequence Analysis (RNA-Seq) / Metagenomics

In this module we'll explore some of the data that have been generated as a result of the rapid decrease in the cost of sequencing DNA. We'll be exploring a couple of RNA-Seq data sets that can tell us where any given gene is expressed, and also how that gene might be alternatively spliced. We'll also be looking at a couple of metagenome data sets that can tell us about the kinds of species (especially microbial species that might otherwise be hard to culture) that are in a given environmental niche.

3 hours to complete

4 videos (Total 52 min), 2 readings, 1 quiz

4 videos

Introduction2m

Lecture24m

Lab Discussion20m

Summary4m

2 readings

Lecture Materials10m

Lab 6 -- Next Generation Sequencing Applications: RNA-Seq and Metagenomics1h 30m

1 practice exercise

Lab 6 Quiz30m

Week

Week 8

1 hour to complete

Review: Phylogenetics, Selection Analysis, and 'Next Gen' Sequence Analysis (RNA-seq)/Metagenomics + Final Assignment

1 hour to complete

1 reading

1 reading

Final Assignment Instructions10m

2 practice exercises

Review: Modules 5-730m

Final Assignment30m

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.
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.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Bioinformatic Methods I

About this Course

Learner Career Outcomes

21%

27%

16%

Skills you will gain

Learner Career Outcomes

21%

27%

16%

Instructor

Nicholas James Provart

Offered by

University of Toronto

Syllabus - What you will learn from this course

Week 1

NCBI/Blast I

Week 2

Blast II/Comparative Genomics

Week 3

Multiple Sequence Alignments

Week 4

Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments

Week 5

Phylogenetics

Week 6

Selection Analysis

Week 7

'Next Gen' Sequence Analysis (RNA-Seq) / Metagenomics

Week 8

Review: Phylogenetics, Selection Analysis, and 'Next Gen' Sequence Analysis (RNA-seq)/Metagenomics + Final Assignment

Reviews

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About the Plant Bioinformatic Methods Specialization

Frequently Asked Questions

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