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Retour à Méthodologie Bioinformatique II

Avis et commentaires pour d'étudiants pour Méthodologie Bioinformatique II par Université de Toronto

4.7
étoiles
433 évaluations
75 avis

À propos du cours

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, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. This, the second part, Bioinformatic Methods II, will cover 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. 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 although some command line work (though within a web browser) occurs in the 5th module. Bioinformatic Methods II is regularly updated, and was last updated for February 2022....

Meilleurs avis

RG
5 avr. 2017

Gives the student real world exposure to the tools to study proteins gene regulation, etc. Instructor is involved and friendly. Highly recommended for someone who is interested in contemporary

MS
19 août 2018

It was a very complete course to understand protein interaction and how to use data bases to quantify it\n\nI recommend this course to every master student doing molecular biology or genetics.

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51 - 73 sur 73 Avis pour Méthodologie Bioinformatique II

par Shawn B C

19 oct. 2021

Very informational

par Vasantha S V

15 déc. 2020

excellent course

par Dr S K

17 janv. 2019

very good course

par Juan R T

2 oct. 2015

Excellent course

par Sharem M

23 févr. 2016

Awesome Course!

par Deepthi g

29 août 2021

very useful!!!

par Marina R V

8 oct. 2020

Muy formativo

par yaohuan23

1 févr. 2016

excellent job

par Dina A M A

27 juin 2019

very great

par jose l V

2 sept. 2017

Excellent!

par Aasim M

15 sept. 2020

Excellent

par José P C I

15 nov. 2015

The best.

par Nammi S K

16 juin 2020

Good

par Randy M

19 nov. 2020

A++

par Shaurav B

14 nov. 2020

The course content is good and i came to know about many protein structure prediction and analysis bioinformatic tools and gene expression and analysis tools, The course is designed very systematically but the instuctor went through the explanation videos a bit fast. Overall the course structure is good.

par Kolchenko S

15 juil. 2017

This was extremely usefull course for me. The only thing I can suggest is making a small course book with all methods from this course. As for assignments, probably it could be better no include more questions to it, like it has been done in lab notes, not just five.

par Nazia T F

21 mai 2020

The course is good overall except for the part of using R commands. I have learned many new things. I especially liked the final assignment part.

par Lucas A C

28 juil. 2020

An excellent course, but the activities with R requiere more in depth explanation of the functions and the R language.

par Raghavendra G

25 juil. 2020

Lectures were very informative, but some (gene expression analysis) lab exercises need more explanation

par Catalin P

1 sept. 2018

Quite good introductory course for Bioinformatics.

par Anne-Karina P

29 oct. 2015

introduction to many useful online data resources

par Gábor E

14 août 2015

At first the questions were wrong, but i contacted with the professor and he corrected them.

par SHREYSHI S

19 août 2020

it was very informative and the labs are really good.