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Bioinformatic Methods II に戻る

トロント大学（University of Toronto） による Bioinformatic Methods II の受講者のレビューおよびフィードバック

4.7
星
433件の評価
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75件のレビュー

コースについて

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....

人気のレビュー

MS
2018年8月19日

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.

RG
2017年4月5日

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

フィルター：

Bioinformatic Methods II： 51 - 73 / 73 レビュー

by Shawn B C

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2021年10月19日

Very informational

by Vasantha S V

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2020年12月15日

excellent course

by Dr S K

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2019年1月17日

very good course

by Juan R T

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2015年10月2日

Excellent course

by Sharem M

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2016年2月23日

Awesome Course!

by Deepthi g

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2021年8月29日

very useful!!!

by Marina R V

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2020年10月8日

Muy formativo

by yaohuan23

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2016年2月1日

excellent job

by Dina A M A

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2019年6月27日

very great

by jose l V

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2017年9月2日

Excellent!

by Aasim M

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2020年9月15日

Excellent

by José P C I

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2015年11月15日

The best.

by Nammi S K

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2020年6月16日

Good

by Randy M

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2020年11月19日

A++

by Shaurav B

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2020年11月14日

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.

by Kolchenko S

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2017年7月15日

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.

by Nazia T F

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2020年5月21日

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.

by Lucas A C

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2020年7月28日

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

by Raghavendra G

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2020年7月25日

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

by Catalin P

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2018年9月1日

Quite good introductory course for Bioinformatics.

by Anne-Karina P

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2015年10月29日

introduction to many useful online data resources

by Gábor E

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2015年8月14日

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

by SHREYSHI S

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2020年8月19日

it was very informative and the labs are really good.

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