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学生对 加州大学圣地亚哥分校 提供的 基因组测序(生物信息学 II) 的评价和反馈

4.7
230 个评分
45 条评论

课程概述

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....

热门审阅

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).

筛选依据:

26 - 基因组测序(生物信息学 II) 的 43 个评论(共 43 个)

创建者 俞文冰

Jan 23, 2017

Very good courses.

创建者 vibha h

May 18, 2017

Very nice course!

创建者 ZIHAN X

Mar 25, 2019

good course!

创建者 Weidong X

Jul 30, 2016

good course!

创建者 Ahmad M Y A

Dec 16, 2016

excellent

创建者 Tomasz K

May 11, 2017

Great!

创建者 chenhyde628

Sep 25, 2016

wery

创建者 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!!!

创建者 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.

创建者 ChenYuexi

Jun 22, 2017

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

创建者 Juanjo B

Apr 29, 2019

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

创建者 Shweta C

Oct 05, 2017

Great course for beginning in Genome sequencing..

创建者 Jorge I F R

Aug 09, 2018

good introduction :)

创建者 Diego J M G

Jul 12, 2018

Great Materials but bad support

创建者 Ryan B

May 06, 2019

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

创建者 Jan G

Feb 03, 2020

Course is abandoned, no support on forums, waiting for weeks for peer-reviews, images don't load in the interactive text and quizzes, links in assignments are broken. Coursera should refund me for this joke.

创建者 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.

创建者 Ксения

Sep 06, 2017

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