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Retour à Méthodologie Bioinformatique II

Avis et commentaires pour d'étudiants pour Méthodologie Bioinformatique II par Université de Toronto

4.7
étoiles
446 évaluations

À propos du cours

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....

Meilleurs avis

RG

5 avr. 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 août 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 sur 77 Avis pour Méthodologie Bioinformatique II

par Rafael O B

4 nov. 2019

par Nissi P M

9 janv. 2018

par Mateusz J

25 avr. 2020

par Alexander K

8 juin 2017

par PRABHJEET K

24 mai 2020

par Benson N M

2 juin 2017

par Stefano G

11 sept. 2015

par Göksu

31 oct. 2020

par sumit k

3 janv. 2021

par Katherine G B L

1 avr. 2018

par Ali P

22 mai 2020

par Joy D

23 août 2020

par Ji-Young K

2 oct. 2016

par Nurudeen O O

12 sept. 2019

par Robert G

6 avr. 2017

par mariano r

19 août 2018

par Carlos A P R

9 août 2021

par Mim A

30 janv. 2016

par Anja R

24 août 2015

par Ana P

12 nov. 2020

par NARAYANA S K

19 mai 2020

par MARIO C

10 sept. 2020

par Wambui K

18 déc. 2018

par Carlos M H

20 févr. 2019

par michelle

27 oct. 2015