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Retour à Méthodes de la bio-informatique I

Avis et commentaires pour d'étudiants pour Méthodes de la bio-informatique I par Université de Toronto

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1,600 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 (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....

Meilleurs avis

SA

11 juil. 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 nov. 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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1 - 25 sur 355 Avis pour Méthodes de la bio-informatique I

par David U

14 juin 2017

par Kawshik K P

2 mai 2020

par Takeshi M

21 août 2019

par Rituraj C

21 juin 2020

par Jonathan G

22 nov. 2015

par Sanzida A A

12 juil. 2020

par Ramya G

5 nov. 2017

par Fiza A J

6 févr. 2017

par Stefano G

7 sept. 2015

par Manal E

23 juil. 2018

par Mathias V

15 avr. 2017

par Anna-Maria H

6 déc. 2020

par Farah G

16 nov. 2017

par Rivaldy P

30 sept. 2020

par Adna A

15 août 2017

par Erick D

27 avr. 2017

par Geert P

21 déc. 2015

par Hitesh J

7 juil. 2016

par Arif S

8 juin 2017

par Aseel A

8 juin 2020

par Eric T

11 juil. 2019

par Leah B

31 déc. 2015

par Benson N M

5 sept. 2016

par sara c

26 sept. 2019

par Alexander K

5 févr. 2017