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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
1,562 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 (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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251 — 275 de 348 Avaliações para o Métodos de bioinformática I

por 陈禹衡

19 de fev de 2019

这些软件在学习和研究中都很可能会用到,很实用

por José B D

24 de mar de 2019

Thank you very much!!

por Rommel G

29 de ago de 2020

Simple and complete!

por 周冰莹

25 de out de 2018

深入浅出,每个Lab讲解非常详细,很喜欢

por Olena P

24 de dez de 2015

Really great course.

por NAAMALA J

24 de ago de 2019

It was very helpful

por Emad R

27 de jan de 2022

this is very good.

por Ganga S D

24 de nov de 2020

Really informative

por Gerald M

17 de jun de 2018

Great Course Ever!

por Jerónimo C

8 de jun de 2017

Wonderfull course!

por Drashti B

31 de mai de 2017

Quite informative!

por Putita C

25 de out de 2020

Very good course!

por Yamila C M

24 de out de 2020

VERY nice course!

por YOGESH .

31 de jul de 2020

excellent course

por Ambreen H

14 de jul de 2020

Excellent course

por Gaurav k

28 de ago de 2019

Very well tought

por Amit K

25 de ago de 2017

excellent course

por Bart S

7 de set de 2016

repeat the class

por dheeraj K

15 de mar de 2022

Amazing course.

por Devanti D

14 de mai de 2020

nice experience

por nurhadi e f

12 de jan de 2021

Awesome course

por Harini

23 de jun de 2020

It's is useful

por Luis A S M

6 de mai de 2017

It's excellent

por Patrícia P

25 de mai de 2018

Great course!

por Min M

29 de jul de 2020

Best course!