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返回到 生物信息学方法 II

學生對 多伦多大学 提供的 生物信息学方法 II 的評價和反饋

4.7
201 個評分
39 個審閱

課程概述

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 March 2019....

熱門審閱

RG

Apr 06, 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

NM

Jan 09, 2018

Hi Nicholas, Thank you so much for giving a lot of information. Bioinformatic Methods II was little difficult but understood after repeating the lad discussions. Thanks a lot.

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1 - 生物信息学方法 II 的 25 個評論(共 38 個)

創建者 Carlos M H

Feb 20, 2019

Very useful for gene expression analysis, I have learned a lot and now I have a list of useful websites for future researches.

創建者 shikha K

Jan 17, 2019

very good course

創建者 Fridah G W K

Dec 18, 2018

The course was great. I have developed and learnt so much that can be applied to my thesis. i especially love the hands on lab.

創建者 Catalin P

Sep 01, 2018

Quite good introductory course for Bioinformatics.

創建者 Mariano R R S

Aug 20, 2018

It was a very complete course to understand protein interaction and how to use data bases to quantify it

I recommend this course to every master student doing molecular biology or genetics.

創建者 Katherine G B L

Apr 01, 2018

I just loved the course, I learned several tools in a short time and I hope to take advantage of them in the future. This course encouraged me to continue with similar ones.

Many thanks to Professor Provart, for his simple way of explaining, I hope he continues to dictate other courses in the future.

創建者 Nissi P M

Jan 09, 2018

Hi Nicholas, Thank you so much for giving a lot of information. Bioinformatic Methods II was little difficult but understood after repeating the lad discussions. Thanks a lot.

創建者 Padma S

Sep 16, 2017

An amazing course....highly recommended.

創建者 Rajeswara R E

Sep 06, 2017

Truly Knowledgeable course........

創建者 José L V A

Sep 02, 2017

Excellent!

創建者 MAHAMADOU A N

Jul 16, 2017

Thanks a lot! Thanks for the time spent to teach us this Nice Bioinformatic Methods II!

創建者 Kolchenko S

Jul 15, 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.

創建者 Alexander K

Jun 08, 2017

It is excellent and absorbing cource of bioinformatics. I enjoyed it a lot: many interesting and complex topics are explained by Prof. Provart. And almost everything becomes clear.

Only one topic was significantly difficult for me - the topic about gene expression, where R programming is applied. Some commands work only in online version of R. I nees some more time to realize the algorithm of this magic.

I recommend this course for most advanced students of medical university, and they have been expanded their horizonts of understanding biochemistry.

創建者 Benson N M

Jun 02, 2017

I really enjoyed the course -- especially learning more about proteins, gene expression and cis regulatory elements for example. The material provided has extra readings to augment what was done in the lectures and Labs. The discussion forum is active and from time to time the instructor answers the questions in the forum as well as mentors. A good place to start if you're starting out learning bioinformatics.

創建者 Maaly a

Apr 24, 2017

Very useful and interesting course

創建者 Robert G

Apr 06, 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

創建者 Malcolm B

Oct 09, 2016

Wonderful course. :)

創建者 Trevor S M

Oct 09, 2016

well structured and useful course

創建者 Ji-Young K

Oct 03, 2016

I absolutely loved this course. The material is highly relevant to someone who works with large databases and computational tools. The lab portion really demonstrates how different online resources can help answer research questions.

創建者 Deepthi C

Jul 24, 2016

very useful!!!

創建者 Bart S

Jun 22, 2016

Outstanding, do it again!

創建者 saroj p

Mar 25, 2016

good but lengthy videos..

創建者 Sharem M

Feb 23, 2016

Awesome Course!

創建者 yaohuan23

Feb 01, 2016

excellent job

創建者 Mim A

Jan 30, 2016

I really appreciate these series of courses, I want to thank Prof. Provart and his coligues for their great job on preparing and presenting these series. Thanks a lot!