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Bioinformatic Methods I

Plant Bioinformatic Methods,

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.

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Rating 4.6★ based on 267 ratings
Length 9 weeks
Effort 12-18 hours videos and labs
Starts Jul 3 (43 weeks ago)
Cost $49
From University of Toronto via Coursera
Instructor Nicholas James Provart
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Life Sciences Bioinformatics Health Informatics

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What people are saying

learnt a lot

Thankyou for the course... learnt a lot ie., very useful in future Great course fro beginners, highly recommended for people who are going to have some bioinformatic aspects in their projects.

I learnt a lot from it.

I learnt a lot about how to build a phylogenetic tree here.

But after finishing this course I have learnt a lot.

Learnt a lot from this session.

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course for beginners

Was a great course for beginners and those wanting a refresher on bioinformatic concepts.

Simplified and very useful course It is a very nice course for beginners.

I like it A thorough course for beginners with very interesting labs!

not what I was looking for Excellent course for beginners course was in detail updated with clear lectures and with detail explanations Good course Good course for anyone looking to get an in depth understanding of bioinformatics tools!

Excellent course for beginners.

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well explained

Very well explained, intuitive and usefull!

Congrats and thanks All lectures are well explained and in proper construction.

THANK YOU :) Procedures are very well explained.

Amazing and well explained course...Lot of themes and information, some easy/difficult quizzes questions.

GREAT COURSE, WELL EXPLAINED, DETAIL BY DETAIL!!!

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very good

Very good starting point or restarting point for working with sequence data as a compuational biologist.

it is a very good courses.

Very good and complete course.

Very good introduction to Bioinformatics.

Very good.

VERY GOOD There should be a lab review after each lab.If the 'Selection Pressure' segment was a bit more simple, it would be easier to understand.

Very good course to build skills in bioinformatics.

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molecular biology

I don't have any background in Molecular Biology that is why I find the course quite difficult to follow.

However, I have had friends (not from a science background) who took the course at the same time as I did but had to drop out because they could not follow the material - therefore the prerequisite of molecular biology is one that is necessary.

I am recommending this course to beginners in bioinformatics with prior background in genetics, molecular biology, or at least in biology in general, as well as to everyone who would like to refresh their memory and develop bioinformatics-friendly way of thinking.

I learned many concepts in molecular biology and also how to use some tools to run genetic data.

(July to September 2016)I think anyone with some background in molecular biology can handle this course.

The course is enjoyable and thorough, and at the same time, it does not require any deeper molecular biology knowledge or extra computational skills.

Take this course if you: \- know molecular biology (necessary stuff will be briefly reviewed in class, but if you don't know it already these reviews are too short); \- want to get an overview over the most common bioinformatic methods and be able to say a couple of sentences about each; \- want to get clear instructions on which method to use when; \- are okay if you don't really understand any of the methods you're going to use (because none of the algorithms are really explained in the class); \- would like some guidance clicking around on bioinformatics websites (if you're happy exploring such websites on your own, it will be more efficient than taking this class).

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so much

Thank you so much dear professor Provart , really this course was enjoyable and It helped me a lot to develop my foundation in bioinformatics.

Prof Provart gives the course in a way that is both challenging and inspiring, I was always looking forward to what I would study in the following course, so much so that sometimes I'd take two or three week's worth of courses in one!

thanku so much for this course really the mentor nicholas is a great teacher and i have enjoy the course.

Excellent course, Thank you so much for this wonderful experience.

To need the method to help students easily.Thanks will run so much ..

Thank you so much for your well-organized course.

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well as

I would especially emphasize how useful labs were, as well as the quality of weekly quizzes and the final course assignment.

As well as students who had enrolled at that period of time.

I learned to use a lot of powerful tools for bioinformatic analyses as well as important topics like phylogenetics and metagenomics.

It was very informative in terms of theoretical as well as practical knowledge.

the examples in Lecture 5), as well as practical applications.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Clinical Research Liaison/Clinical Research Coordinator, Center for Gene Therapy $58k

Research Specialist (Rodent, Gene Therapy, Molecular, Biochemical) $58k

Molecular Screening and Protein Expression $59k

Self Expression and Leadership Program Leader and Instructor $64k

Molecular Screening and Protein Expression - Scientist $81k

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Rating 4.6★ based on 267 ratings
Length 9 weeks
Effort 12-18 hours videos and labs
Starts Jul 3 (43 weeks ago)
Cost $49
From University of Toronto via Coursera
Instructor Nicholas James Provart
Download Videos On all desktop and mobile devices
Language English
Subjects Science
Tags Life Sciences Bioinformatics Health Informatics

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