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Learner Reviews & Feedback for Bioinformatic Methods I by University of Toronto

4.7
stars
1,683 ratings

About the 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 2023....

Top reviews

SA

Jul 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.

BA

Nov 2, 2021

Bioinformatics 1 was very interesting and enlightening for me. I learnt practical skills which I can now apply in to ace an impactful career. Thank you so much Coursera for this amazing opportunity!

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101 - 125 of 372 Reviews for Bioinformatic Methods I

By Ji-Young K

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Oct 2, 2016

Awesome course. The lectures are good and the lab portion is great. The lab really helps understanding how to use online tools and resources.

By Dr. S D

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Apr 19, 2020

Excellent course for beginners. I have lot of experiments that now I can use it in my research. Very simply explained and interesting labs.

By Lerry D P S

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May 25, 2020

It is awesome! I got a new knowledge in bioinformatic. I recommended this course for everyone just for to know the basic. Just explore it.

By Dr. S S

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Jun 18, 2021

Excellent course with good assignments for learning, I loved the hands on training to use various websites and tools for data analysis.

By Sara L O

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Jul 6, 2020

I truly recommend this course because in the labs you can practice all the theory you have learn and I really like the methodology .

By Nicholas Y

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Mar 19, 2020

Excellent course to explore the basics and fundamentals for multiple bioinformatics data type analysis. Great job still updating it.

By Gonzalo V M

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Oct 26, 2019

El curso me parecio bastante bueno, se entendió la mayoría de los conceptos, es un buen curso para introducirse en la bioinformatica

By D S

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Jan 13, 2016

Good campaign for abolishing illiteracy.

It would be good to update answers for the final quiz (BLAST search and phylogenetic assay).

By Mohamed e

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Apr 4, 2019

It is a very great course that help me to learn more about that field of science and i hope to continue with more advanced levels

By Shamsunnahar M

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Sep 17, 2019

I had a very basic knowledge but this course help me to understand the use of all parameters and what is the objective for this.

By Anuj S

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Jan 17, 2021

This course is very helpful in related to providing basic knowledge about the topic and that is best thing about this course.

By Sael M A

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Dec 5, 2017

Great course fro beginners, highly recommended for people who are going to have some bioinformatic aspects in their projects.

By Vitor I I S

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Jan 5, 2021

Nicholas Provart is a great instructor!

This course was very useful. I'll highly recommend other students to take this course

By Wambui K

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Nov 14, 2018

The course was excellent. The labs give a practical feel of what Bioinformatics is. Great work. Looking forward to Part II.

By STEPHANIE R V

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Apr 11, 2022

Un curso desafiante y entretenido para reforzar conocimientos y ahondar en herramientas para el análisis bioinformático.

By Jegadishwar A N

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Aug 7, 2021

Nice course. Very well explained. Interesting topic shown in an equally interesting manner. Tools shown also very useful

By Роман П

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Nov 4, 2018

bioinformatics guide for practical work, great observation of last common use programs and clear explanation of methods

By Gulnaz D

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Sep 1, 2020

Thank you very much for this course! This course was extremely interesting !

I enriched my knowledge in Bioinformatics.

By omar w

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Aug 17, 2019

this course's lab is really amazing the only thing id recommend is to increase the number of questions in weekly tests

By Suhas G

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Nov 6, 2016

A very well structured course with graded difficulty and accurate instructions. Throughly enjoyed being a part of it.

By Cristi V

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Mar 14, 2016

Great and indepth introduction for those interested in learning bioinformatics. Next stop: Bioinformatic Methods II

By Ivana R

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Jun 21, 2017

All lectures are well explained and in proper construction. Lab discussions help to internalize the material well.

By Atakan z N

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Dec 15, 2020

I learned how to analyze by using bioinformatics data with taxonomy. My perspective has changed with new programs

By Anna A

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Aug 24, 2020

Instructions for the assignments are very straightforward, which helped a lot to build my skill step by step.

By Roman S

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Jan 8, 2017

It was a relevant course teaching basic bioinformatics. the course was well-structured and not hard-to follow