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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Genetic AnalysisBioinformatics AnalysisEvolutionComparative Genomics
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지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 전문 분야의 4개 강좌 중 1번째 강좌:
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초급 단계
완료하는 데 약 13시간 필요
권장: 12-18 hours videos and labs
영어
자막: 영어
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토론토 대학교
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.
강의 계획 - 이 강좌에서 배울 내용
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
4개 동영상 (총 51분), 4 readings, 1 quiz
4개의 읽기 자료
Acknowledgements10m
Course Logistics10m
Lecture Materials10m
Lab 1 -- Exploring NCBI1시 30분
1개 연습문제
Lab 1 Quiz30m
완료하는 데 3시간 필요
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.
완료하는 데 3시간 필요
4개 동영상 (총 58분), 2 readings, 1 quiz
2개의 읽기 자료
Lecture Materials10m
Lab 2 -- Advanced Blast and Comparative Genomics1시 30분
1개 연습문제
Lab 2 Quiz30m
완료하는 데 3시간 필요
Multiple Sequence Alignments
In this module we'll be doing multiple sequence alignments with Clustal (as implemented in MEGA), DiAlign, 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.
완료하는 데 3시간 필요
4개 동영상 (총 44분), 2 readings, 1 quiz
2개의 읽기 자료
Lecture Materials10m
Lab 3 -- Multiple Sequence Alignment1시 30분
1개 연습문제
Lab 3 Quiz30m
완료하는 데 1시간 필요
Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments
완료하는 데 1시간 필요
1개 연습문제
Quiz: Modules 1-330m
검토
4.7
BIOINFORMATIC METHODS I의 최상위 리뷰
ED 제공Apr 26, 2017
Great course. All lectures provide a biological context for the tools you learn in the labs. The labs themselves provide a great introduction to the many tools available for bioinformatic analysis.
FJ 제공Feb 5, 2017
The videos were very clear on how to use various bioinformatic tools. I found no difficulty in understanding them. Really enjoyed the course. Looking forward to the next part of this course!
RG 제공Nov 4, 2017
I enjoyed doing the course. It is exciting to see how much one can learn from a few gene or protein sequences. Thank you for making the course understandable to a beginner in bioinformatics!
CW 제공Jul 10, 2017
Useful and informative. This is the best bioinformatics course I have taken so far as it focusses on the practical applications instead of the theory which is much more relevant! Thank you!
PS 제공Jul 8, 2017
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. :-)
KC 제공Sep 10, 2017
The course is very useful and practical, especially the lab and the lab discussion. The materials are very clear explained. I would like to thank the instructor for such an useful course!
WR 제공Jan 18, 2020
Great tour through the main areas of bioinformatics. I learned to use a lot of powerful tools for bioinformatic analyses as well as important topics like phylogenetics and metagenomics.
PG 제공Jan 21, 2019
This course is so accurate and useful to the bioinformatic students and the science students who needs help with the computational biology. I would recommend this course to everyone.
Plant Bioinformatic Methods 전문 분야 정보
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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