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返回到 基因组测序(生物信息学 II)

學生對 加州大学圣地亚哥分校 提供的 基因组测序(生物信息学 II) 的評價和反饋

4.7
217 個評分
44 個審閱

課程概述

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end. However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together. In the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise. You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies. Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA. We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance....

熱門審閱

SV

Jan 10, 2017

Great course to explore a bit of Bioinformatics for those with no background in Bioinformatics. I love the way the content has been provided, its interactivity increases the interest in the course.

MP

Dec 08, 2017

I like the real-world tasks, especially the assembly on the final exam. Some of the programming tasks, such as the antibiotic noisy spectrum assembly, are challenging (which is good).

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26 - 基因组测序(生物信息学 II) 的 42 個評論(共 42 個)

創建者 Weidong X

Jul 30, 2016

good course!

創建者 Paolo B

May 09, 2017

Excellent and fun introduction to sequencing techniques. I found it harder than Bioinformatics I, but worth the effort.

創建者 Mihai P

Dec 08, 2017

I like the real-world tasks, especially the assembly on the final exam. Some of the programming tasks, such as the antibiotic noisy spectrum assembly, are challenging (which is good).

創建者 Tomasz K

May 11, 2017

Great!

創建者 Zack X

Jul 21, 2019

In depth and comprehensive coverage of the topics in genetic data analysis.

創建者 Rudramani P

Aug 24, 2019

This one is great introductory course for physicist like who knows the computing but lacks biological background.

創建者 Daniel D

Oct 08, 2019

The course is absolutely fantastic. Concepts are introduced gradually, and you get away with solid fundamentals of genome sequences.

Beware however that the course is not actively maintained any longer and has few participants. It may be that your final assessment will take a bit to be graded by the peers and the forums are not super active.

創建者 Jorge I F R

Aug 09, 2018

good introduction :)

創建者 Hilda P E

Aug 21, 2018

The course needs updates EXAMPLE: The version 3.0 for spades doesn't give the statistics and if you do a new version it doesn't give you the same data. I think this happened to other students, but we used Quast that it was later described in the instructions, but if it wasn't because someone suggested it in the discussion I would have follow the same path of using a new version that would have given me wrong data.

Thank you so much, This course has been helping me a lot.

CHEERS!!!

創建者 Shweta C

Oct 05, 2017

Great course for beginning in Genome sequencing..

創建者 ChenYuexi

Jun 22, 2017

There is no debug dataset like the previous course, which means you will get stuck longer.

創建者 Juanjo B

Apr 29, 2019

The instruction material was slightly less helpful than in bioinformatics I.

創建者 Meng Z

Sep 15, 2019

This course is great, but some times I can't open the dataset to test my code. I wish this can be fixed.

創建者 Diego J M G

Jul 12, 2018

Great Materials but bad support

創建者 Ryan B

May 06, 2019

Long waits for peer review....ruins what is a good course.

創建者 Ксения

Sep 06, 2017

Spend a huge amount of time because of mistakes in tasks!

創建者 Melinda B

May 24, 2019

The UCSD affiliation is really the only reason to do this course. It is so much harder than it needs to be.