University of Toronto - Bioinformatic Methods I

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Bioinformatic Methods I
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Coursera
Overview

Duration	20 hours
Start from	Start Now
Total fee	Free
Mode of learning	Online
Difficulty level	Beginner
Official Website	Explore Free Course
Credential	Certificate

Bioinformatic Methods I
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Coursera
Highlights

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: English

Bioinformatic Methods I
at
Coursera
Course details

Skills you will learn

Data analysis

More about this course

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 2021.

Bioinformatic Methods I
at
Coursera
Curriculum

NCBI/Blast I

Introduction

Lecture

Lab Discussion

Summary

Acknowledgements

Course Logistics

Lecture Materials

Lab 1 -- Exploring NCBI

Lab 1 Quiz

Blast II/Comparative Genomics

Introduction

Lecture

Lab Discussion

Summary

Lecture Materials

Lab 2 -- Advanced Blast and Comparative Genomics

Lab 2 Quiz

Multiple Sequence Alignments

Introduction

Lecture

Lab Discussion

Summary

Lecture Materials

Lab 3 -- Multiple Sequence Alignment

Lab 3 Quiz

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

Quiz: Modules 1-3

Phylogenetics

Introduction

Lecture

Lab Discussion

Summary

Lecture Materials

Lab 4 -- Phylogenetics

Lab 4 Quiz

Selection Analysis

Introduction

Lecture

Lab Discussion

Summary

Lecture Materials

Lab 5 -- Selection Analysis

Lab 5 Quiz

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

Introduction

Lecture

Lab Discussion

Summary

Lecture Materials

Lab 6 -- Next Generation Sequencing Applications: RNA-Seq and Metagenomics

Lab 6 Quiz

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

Final Assignment Instructions

Review: Modules 5-7

Final Assignment

Bioinformatic Methods I
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Coursera
Admission Process

Important Dates

May 25, 2024

Course Commencement Date

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Bioinformatic Methods I
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Students Ratings & Reviews

5/5

1 Rating

4-5
1

Akanksha Sharma

Bioinformatic Methods I

Offered by Coursera

Learning Experience: It was a 8 weeks course. The course covered all the basics of Bioinformatics ( Tools, Practical uses). There was quiz every end of of the week and scores were given accordingly.

Faculty: Professor Provart teaches each topic from the basic so it is easily understandable. He gives the information of extra study material related to the topics. The course was very well structured. There was quiz every end of the week for the assessment. And the answer to the quiz was the result of the assignment given at the end of the topic.

Course Support: No

Reviewed on 18 Oct 2022Read More