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Opiniones y comentarios de aprendices correspondientes a Bioinformatic Methods II por parte de Universidad de Toronto

4.7
estrellas
310 calificaciones
57 revisiones

Acerca del Curso

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 2020....

Principales revisiones

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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26 - 50 de 56 revisiones para Bioinformatic Methods II

por Giovanny A

Nov 10, 2015

Excelente Curso, muy bueno, didactico y con excelentes aplicaciones

por Hewan D

May 06, 2020

Well organized and easy to learn with good laboratory practice.

por PRIYA K

Jun 08, 2020

very informative course and it is very well explained

good work

por Anthony M

Oct 20, 2015

Very informative. Loved the course. keep making more please

por Padma S

Sep 16, 2017

An amazing course....highly recommended.

por Olena P

Dec 24, 2015

Great course with the kindest professor.

por Dr. R R E

Sep 06, 2017

Truly Knowledgeable course........

por Maaly a

Apr 24, 2017

Very useful and interesting course

por Trevor S M

Oct 09, 2016

well structured and useful course

por Bart S

Jun 22, 2016

Outstanding, do it again!

por saroj p

Mar 25, 2016

good but lengthy videos..

por Joseph I E

Mar 02, 2020

great course, thanks

por Malcolm B

Oct 09, 2016

Wonderful course. :)

por Harini

Jun 23, 2020

It's is very useful

por shikha K

Jan 17, 2019

very good course

por Juan R T

Oct 02, 2015

Excellent course

por Sharem M

Feb 23, 2016

Awesome Course!

por Deepthi C

Jul 24, 2016

very useful!!!

por yaohuan23

Feb 01, 2016

excellent job

por Dina A M A

Jun 27, 2019

very great

por José L V A

Sep 02, 2017

Excellent!

por José P C I

Nov 15, 2015

The best.

por Nammi S K

Jun 16, 2020

Good

por Mateusz J

Apr 25, 2020

The first part is very well presented however what I did not particularly like was the part where R program was included. It basically taught to copy and paste R commands into the program without teaching how the program really works, so in the future, we still won't be able to use it. Other than that, great course!

por 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.