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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
1,542 classificações
352 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 2022....

Melhores avaliações

SA

11 de jul de 2020

This course is very well organized, easy to understand, and explained everything steps by step which will help to grasp the concept easily. If you are a beginner like me, you should take this course.

BA

2 de nov de 2021

Bioinformatics 1 was very interesting and enlightening for me. I learnt practical skills which I can now apply in to ace an impactful career. Thank you so much Coursera for this amazing opportunity!

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326 — 345 de 345 Avaliações para o Métodos de bioinformática I

por PINKIE C

14 de jun de 2020

More practical videos should be added.. For attending lab questions

por df20211534 L R V

19 de abr de 2022

Informative course was very helpful for understanding of concepts.

por Yu Y

22 de abr de 2017

The teacher is boring but he conveys all information clearly.

por Azadeh M

27 de out de 2015

Excellent material and explained well by the professor!

por Willan M

3 de abr de 2016

Muy bueno para aprender las bases de la bioinformatica

por Nicolas S

31 de ago de 2015

As a biochemist, it is a nice refresher for me !

por SANKALAN D

4 de mai de 2020

Great Course for learning basic Bioinformatics.

por OKELLO E O

23 de nov de 2015

enjoying it and its helping alot in my unit

por Sayalee S

23 de jun de 2020

nice course, rich course material

por Saadullah J K

21 de set de 2020

great teacher

por Sumaiya

5 de jun de 2020

Good course

por Nadeem N

25 de jul de 2020

VERY GOOD

por MD H R T

10 de jan de 2020

awesome

por Andreia S

16 de mai de 2017

great!

por Federico M

15 de nov de 2015

Ho seguito il corso molto volentieri... molto carino, ma nonsufficiente per acquisire determinate conoscenze.

La Bioinformatica è una scienza molto ampia.

Tutto sommato bello ;)

por Kagning T E

9 de set de 2016

Thanks to this course, i am now understanding the principle and methodology of phylogenetics

por Tryambak P S

24 de jun de 2020

Introductory videos could have been shortened with a video description of Lab work.

por Lekhraj a

26 de set de 2020

Please myID Verification

por SHAHNA T K

29 de mai de 2020

It is really helpful

por Zareen N

2 de mai de 2020

not right for me