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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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226 — 250 de 345 Avaliações para o Métodos de bioinformática I

por Kodithuwakku A D T L W

17 de jun de 2020

one of the best course. I enjoyed lot.

por fatima

6 de out de 2018

it was very useful course . thank you

por Reghan M

25 de jul de 2021

Its a very good course, I love it.

por BALAGA H

16 de mai de 2020

great subject,professors are great

por Laureana F

8 de fev de 2018

Good course. I learn a lot! thanks

por Ahmed A E M A

27 de mai de 2020

Great course and very informative

por Yarenci A G

27 de jul de 2018

Excelente curso, muy recomendable

por Jaime E B D C

13 de mai de 2017

Excelente curso, muy recomendado.

por Maaly a

14 de abr de 2017

Simplified and very useful course

por Aram S

25 de nov de 2016

Excellent and informative course!

por Sara A L

17 de mar de 2017

Es un curso muy útil y completo

por Lukas B

24 de jan de 2016

Very good course for beginners!

por Nilesh G

8 de jun de 2020

Excellent course for beginners

por Christopher T O

3 de nov de 2015

Amazing, Excellent and Awesome

por Pirana I I

9 de jan de 2021

thanks your course is so good

por José L M Q

21 de set de 2020

Very useful and interesting!

por Farbod -

3 de set de 2015

It was really useful for me.

por Daniel B

9 de fev de 2020

Well. I liked it very much.

por Raja S

19 de dez de 2021

very useful and excellent

por saroj p

23 de mar de 2016

good but lengthy videos..

por Teresa B

15 de abr de 2020

Excelent in all aspects

por Mohammad K

16 de mai de 2018

very informative Course

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!