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.
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課程信息
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100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 4 門）
初級
完成時間大約為20 小時
英語（English）
字幕：英語（English）
您將獲得的技能
- Genetic Analysis
- Bioinformatics Analysis
- Evolution
- Comparative Genomics
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 4 門）
初級
完成時間大約為20 小時
英語（English）
字幕：英語（English）
提供方
多伦多大学
Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
NCBI/Blast I
In this module we'll be exploring the amazing resources available at NCBI, the National Centre for Biotechnology Information, run by the National Library of Medicine in the USA. We'll also be doing a Blast search to find similar sequences in the enormous NR sequence database. We can use similar sequences to infer homology, which is the primary predictor of gene or protein function.
完成時間為 3 小時
4 個視頻 （總計 52 分鐘）, 4 個閱讀材料, 1 個測驗
完成時間為 3 小時
Blast II/Comparative Genomics
In this module we'll continue exploring the incredible resources available at NCBI, the National Centre for Biotechnology Information. We will be performing several different kinds of Blast searches: BlastP, PSI-Blast, and Translated Blast. We can use similar sequences identified by such methods to infer homology, which is the primary predictor of gene or protein function. We'll also be comparing parts of the genomes of a couple of different species, to see how similar they are.
完成時間為 3 小時
4 個視頻 （總計 58 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 3 小時
Multiple Sequence Alignments
In this module we'll be doing multiple sequence alignments with Clustal and MUSCLE (as implemented in MEGA), and MAFFT. Multiple sequences alignments can tell you where in a sequence the conserved and variable regions are, which is important for understanding the biology of the sequences under investigation. It also has practical applications, such as being able to design PCR primers that will amplify sequences from a number of different species, for example.
完成時間為 3 小時
4 個視頻 （總計 46 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 1 小時
Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments
完成時間為 1 小時
審閱
- 5 stars77.01%
- 4 stars18.60%
- 3 stars3.41%
- 2 stars0.38%
- 1 star0.57%
來自生物信息学方法 I的熱門評論
由 IA 提供2016年9月27日
Perfect exposure and depth for a bioinformatics new comer like me. Caveat: I have an undergrad in biology and rookie-to-intermediate level molecular biology lab experience
由 PS 提供2017年7月8日
A fully recommended course for those who wish to understand the basics and strengthen their skills in Bioinformatics. A well-designed and precise course. Thank you Dr. Nicholas Provart. :-)
由 NS 提供2015年10月2日
A thorough course for beginners with very interesting labs! I was pleasantly surprised with how much and how easily I learned bioinformatics skills with this course. Well done!
由 BA 提供2021年11月2日
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!
關於 Plant Bioinformatic Methods 專項課程
The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger.The Plant Bioinformatics Specialization on Coursera introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interaction, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II. In Plant Bioinformatics we cover 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others. Last, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report.This specialization is useful to any modern plant molecular biologist wanting to get a feeling for the incredible scope of data available to researchers. A small amount of R programming is introduced in Bioinformatic Methods II, but most of the tools are web applications. It is recommended that you have access to a laptop or desktop computer for running these as they may not work as mobile applications on your phone or tablet.
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