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Voltar para Métodos de bioinformática I

Comentários e feedback de alunos de Métodos de bioinformática I da instituição Universidade de Toronto

4.7
estrelas
969 classificações
222 avaliações

Sobre o 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 (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. The second part, Bioinformatic Methods II, covers 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. Both provide an overview of the many different bioinformatic tools that are out there. 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. Bioinformatic Methods I is regularly updated, and was completely updated for January 2020....

Melhores avaliações

ED

Apr 27, 2017

Great course. All lectures provide a biological context for the tools you learn in the labs. The labs themselves provide a great introduction to the many tools available for bioinformatic analysis.

RG

Nov 05, 2017

I enjoyed doing the course. It is exciting to see how much one can learn from a few gene or protein sequences. Thank you for making the course understandable to a beginner in bioinformatics!

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151 — 175 de {totalReviews} Avaliações para o Métodos de bioinformática I

por Gerald M

Jun 17, 2018

Great Course Ever!

por Jerónimo C

Jun 08, 2017

Wonderfull course!

por Drashtiben N B

May 31, 2017

Quite informative!

por Gaurav k

Aug 28, 2019

Very well tought

por Amit K

Aug 25, 2017

excellent course

por Bart S

Sep 07, 2016

repeat the class

por Devanti D

May 14, 2020

nice experience

por Luis A S M

May 06, 2017

It's excellent

por Patrícia P

May 25, 2018

Great course!

por Tayyab M k

May 09, 2020

very helpful

por PEDRO M C

Sep 26, 2017

Great course

por Rabbi h

May 18, 2020

good course

por Akanksha d

Feb 01, 2017

very useful

por José P C I

Aug 30, 2015

Excellent.

por chengkaizhu

Jul 29, 2017

excellent

por Hosain A

Sep 30, 2016

thank you

por Reem A

Oct 06, 2015

I like it

por Jarel E M T

Oct 26, 2016

Awesome!

por Luis P R

Jan 13, 2018

Great!!

por Shayan s

May 07, 2019

great

por MAHAMADOU A N

Jul 16, 2017

Nice!

por KADIM S S

May 16, 2020

good

por Khaled A M D B

Jan 14, 2020

THAN

por Geert P

Dec 21, 2015

On the theoretical side, this is a very good introduction, and clearly a lot of effort has been poured into the practical part - only for that, the Toronto team deserves a lot of credit. Sadly, it suffers from the same problem as nearly every intro course in bioinformatics: the labs are merely a set of instructions to follow... even the very last. Still, if you never heard of BLAST or how to draw a phylogenetic tree, this is the course to do.

por Peter N

May 08, 2020

The very last assignment wouldn't work for me, for the final question. Total bummer. I was doing everything according to instructions and even checking but it wouldn't work. Don't feel like explaining but the conversion to mega just was faulty, and the instructor's instructions to fix the problem didn't help either.

Also, one of the questions in the final assignment was nowhere in the reading.

But overall a nice intro and not too difficult.