Online Course – Certified Professional Internship in Plant Bioinformatics Methods from the University of Toronto

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Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Learning techniques
  • Analytical thinking
  • Troubleshooting
  • Communication skills
  • Teamwork
  • Time management
  • Presentation skills
  • Creative thinking
  • Strategic thoughts
  • Research skills

What you will learn in the course

Courses for which the course is suitable

  • Molecular biologist
  • Bioinformatician
  • Researcher in the field of plant biology
  • RNA-seq data analyzer
  • Phylogenetics expert
  • Bioinformatic tool developer
  • Researcher of protein-protein interactions
  • Genome data analyst
  • Data mining expert in biology
  • Promoter and genetic network analysis

Internship – a series of four courses

Over the past 15 years, exciting changes have occurred in the field of plant biology. Hundreds of plant genomes have been sequenced and sequenced, RNA-seq technology has enabled large-scale gene expression profiling, and the proliferation of “seq-based” methods has enabled the determination of protein and protein-DNA interactions at affordable prices and in large quantities. These data sets allow us to generate hypotheses at the click of a mouse or the touch of a screen.

Course content

  • Basic skills and tools in the field of bioinformatics:
    • NCBI Genbank
    • Blast
    • Multiple sequence alignments
    • Phylogenetics using bioinformatics methods I
  • Protein-protein interactions
  • Structural bioinformatics
  • RNA-seq analysis using bioinformatics methods II
  • 33 unique online tools for plants:
    • Gnome browsers
    • RNA data mining
    • Promoter and network analyses
  • Final course in plant bioinformatics:
    • Hypothesizing a biological role for a gene whose function is unknown
    • Summary in a written lab report

Purpose of the internship

This specialization is useful for any modern molecular biologist in the field of plants who wants to be exposed to the impressive data available to researchers. During the classes, there is a little introduction to R programming in Bioinformatics Methods II, but most of the tools are online applications.

Technical requirements
  • It is recommended to have access to a laptop or desktop computer.
  • Tools may not function as mobile applications on a phone or tablet.

Applied Learning Project

The Plant Bioinformatics specialization on Coursera introduces basic bioinformatics skills and tools, such as NCBI Genbank, Blast, multiple sequence alignments, and phylogenetics in Bioinformatics Methods I, followed by protein-protein interactions, structural bioinformatics, and RNA-seq analysis in Bioinformatics Methods II. In the Plant Bioinformatics course, we include 33 online tools unique to plants, from genome browsers to RNA data mining, promoter and network analysis, and more. Finally, a capstone course in Plant Bioinformatics uses these tools to hypothesize a biological role for a gene whose function is unknown, culminating in a written lab report.

Details of the courses that make up the specialization

Bioinformatics Methods I

Course 1 • 19 hours • 4.7 (1,721 ratings)

Course Details

What you’ll learn

  • Prominent projects in biology such as sequencing the human genome and surveys of gene expression using RNA-seq, microarrays, and other technologies have generated a wealth of data for biologists.
  • The challenge facing scientists is analyzing and even accessing this data to extract useful information related to the system under study.
  • The course focuses on using existing bioinformatic resources – primarily programs and websites on the Internet – to access the wealth of data and answer questions relevant to the average biologist.
  • Topics include: multiple sequence alignment, phylogenetics, gene expression data analysis, and protein interaction networks.
The first part
  • Bioinformatics Methods I (IT) deals with databases, Blast, multiple sequence alignment, phylogenetics, selection analysis, and metagenomes.
The second part
  • Bioinformatics Methods II deals with motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element prediction.

Skills you will acquire

  • Category: Genetic Analysis
  • Category: Bioinformatic Analysis
  • Category: Evolution
  • Category: Comparative Genomics

Bioinformatics Methods II

Course 2 • 18 hours • 4.7 (478 ratings)

Course Details

What you’ll learn

  • Prominent projects in biology such as sequencing the human genome and surveys of gene expression using RNA-seq, microarrays, and other technologies have generated a wealth of data for biologists.
  • The challenge facing scientists is analyzing and even accessing this data to extract useful information related to the system under study.
  • The course focuses on using existing bioinformatic resources – primarily programs and websites on the Internet – to access the wealth of data and answer questions relevant to the average biologist.
The first part
  • Bioinformatics Methods I dealt with databases, Blast, multiple sequence alignment, phylogenetics, selection analysis, and metagenome-based genomics.
This is the second part.
  • Bioinformatics Methods II will address motif search, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element prediction.

Skills you will acquire

  • Using many bioinformatic tools.

Plant bioinformatics

Course 3 • 13 hours • 4.8 (240 ratings)

Course Details

What you’ll learn

  • The last 15 years have been exciting in the field of plant biology.
  • Hundreds of plant genomes have been sequenced, and RNA-seq has enabled broad expression profiling.
  • The rise of “-seq”-based methods has made it possible to determine protein-protein and protein-DNA interactions easily and in high quantity.
  • This data allows us to generate hypotheses with the click of a mouse.

structure

  • Each of the six practical modules lasts approximately six weeks.
  • An introduction lasting about 2 minutes, a theoretical lecture lasting about 20 minutes, and a practical laboratory lasting an hour and a half.
  • A lab discussion of about 20 minutes if there are difficulties in the lab, and a summary of about 2 minutes.

Tools Covered [Materials Updated June 2024]

  • Module 1: Genomic databases / pre-computed gene trees / protein tools.
  • Module 2: Tools for expression.
  • Module 3: Tools for expression.
  • Module 4: Promoter analysis.
  • Module 5: GO enrichment analysis and pathway visualization.
  • Module 6: Exploring networks.

Advanced Course in Plant Bioinformatics

Course 4 • 9 hours • 4.7 (27 ratings)

Course Details

What you’ll learn

  • The last 15 years have been exciting in the field of plant biology.
  • Hundreds of plant genomes have been sequenced, and RNA-seq has enabled broad expression profiling.
  • In this course, we will use tools to postulate a biological role for a gene of unknown function.

This course is part of the specialization in Plant Bioinformatics.

  • Introduces key bioinformatic skills and content.
  • Developed with funding from the Faculty of Arts and Sciences at the University of Toronto.