Chevron Left
Voltar para Métodos de bioinformática I

Comentários e feedback de alunos de Métodos de bioinformática I da instituição Universidade de Toronto

4.7
estrelas
1,600 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!

Filtrar por:

326 — 350 de 355 Avaliações para o Métodos de bioinformática I

por Pranshu

6 de dez de 2020

por Rui W

21 de set de 2018

por Roberto P

20 de abr de 2017

por guangyuan l

24 de jul de 2019

por Katherine B

16 de out de 2017

por Rohit C

4 de jun de 2020

por Carlos M G V

1 de mar de 2017

por Javier M C

5 de set de 2016

por PEEYUSH Y

8 de abr de 2017

por PINKIE C

14 de jun de 2020

por df20211534 L R V

19 de abr de 2022

por Yu Y

22 de abr de 2017

por Azadeh M

27 de out de 2015

por Willan M

3 de abr de 2016

por Nicolas S

31 de ago de 2015

por SANKALAN D

4 de mai de 2020

por OKELLO E O

23 de nov de 2015

por Sayalee S

23 de jun de 2020

por Saadullah J K

21 de set de 2020

por Sumaiya

5 de jun de 2020

por Nadeem N

25 de jul de 2020

por MD H R T

10 de jan de 2020

por Andreia S

16 de mai de 2017

por Ajay P

23 de set de 2022

por Federico M

15 de nov de 2015