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Voltar para Métodos de Bioinformática II

Comentários e feedback de alunos de Métodos de Bioinformática II da instituição Universidade de Toronto

4.7
estrelas
456 classificações

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, 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....

Melhores avaliações

RG

5 de abr de 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

MS

19 de ago de 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.

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1 — 25 de 77 Avaliações para o Métodos de Bioinformática II

por Rafael O B

4 de nov de 2019

por Nissi P M

9 de jan de 2018

por Mateusz J

25 de abr de 2020

por Alexander K

8 de jun de 2017

por PRABHJEET K

24 de mai de 2020

por Benson N M

2 de jun de 2017

por Stefano G

11 de set de 2015

por Göksu

31 de out de 2020

por sumit k

3 de jan de 2021

por Katherine G B L

1 de abr de 2018

por Ali P

22 de mai de 2020

por Joy D

23 de ago de 2020

por Ji-Young K

2 de out de 2016

por Nurudeen O O

12 de set de 2019

por Robert G

6 de abr de 2017

por mariano r

19 de ago de 2018

por Carlos A P R

9 de ago de 2021

por Mim A

30 de jan de 2016

por Anja R

24 de ago de 2015

por Ana P

12 de nov de 2020

por NARAYANA S K

19 de mai de 2020

por MARIO C

10 de set de 2020

por Wambui K

18 de dez de 2018

por Carlos M H

20 de fev de 2019

por michelle

27 de out de 2015