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

4.7
estrellas
346 calificaciones
61 reseña

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 reseñas

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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51 - 60 de 60 revisiones para Bioinformatic Methods II

por José P C I

Nov 15, 2015

The best.

por Nammi S K

Jun 16, 2020

Good

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.

por Nazia T F

May 21, 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.

por Lucas A C

Jul 29, 2020

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

por Raghavendra G

Jul 25, 2020

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

por Catalin P

Sep 01, 2018

Quite good introductory course for Bioinformatics.

por Anne-Karina P

Oct 29, 2015

introduction to many useful online data resources

por Erdős G

Aug 14, 2015

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

por SHREYSHI S

Aug 19, 2020

it was very informative and the labs are really good.