Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.
Este curso faz parte do Programa de cursos integrados Análise de Dados GenômicosAnálise Genômica
Ferramentas de Linha de Lomando para Análise de Dados Genômicos
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Informações sobre o curso
27,250 visualizações recentes
Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
43%
consegui um benefício significativo de carreira com este curso
20%
recebi um aumento ou promoção
Habilidades que você terá
BioinformaticsSamtoolsUnixCommand-Line Interface
Resultados de carreira do aprendiz
50%
comecei uma nova carreira após concluir estes cursos
43%
consegui um benefício significativo de carreira com este curso
20%
recebi um aumento ou promoção
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 26 horas para completar
Inglês
Legendas: Inglês
Programa - O que você aprenderá com este curso
3 horas para concluir
Basic Unix Commands
In this module, you will be introduced to command Line Tools for Genomic Data Science
3 horas para concluir
12 vídeos (Total 105 mín.), 5 leituras, 2 testes
12 videos
Basic Unix Commands 2: Files, Directories, Paths7min
Basic Unix Commands 3: File Naming4min
Basic Unix Commands 4: Content Creation9min
Basic Unix Commands 5: Accessing Content I6min
Basic Unix Commands 6: Accessing Content II4min
Basic Unix Commands 7: Redirecting Content6min
Basic Unix Commands 8: Querying Content15min
Basic Unix Commands 9: Comparing Content11min
Basic Unix Commands 10: Archiving Content13min
Basic Unix Commands 11: Practical Exercises I13min
Basic Unix Commands 12: Practical Exercises II9min
5 leituras
Welcome Message10min
Syllabus10min
VMBox Download & Instructions10min
Pre-Course Survey10min
Module 1 Exam Instructions **IMPORTANT**10min
2 exercícios práticos
Module 1 Quiz20min
Module 1 Exam34min
3 horas para concluir
Week Two
In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.
3 horas para concluir
11 vídeos (Total 127 mín.), 1 leitura, 2 testes
11 videos
Sequences and Genomic Features 2: Sequence Representation and Generation11min
Sequences and Genomic Features 3: Annotation14min
Sequences and Genomic Features 4.1: Alignment I13min
Sequences and Genomic Features 4.2: Alignment II9min
Sequences and Genomic Features 5: Recreating Sequences & Features12min
Sequences and Genomic Features 6: Genomic Feature Retrieval5min
Sequences and Genomic Features 7: SAMtools I11min
Sequences and Genomic Features 8: SAMtools II9min
Sequences and Genomic Features 9: BEDtools I15min
Sequences and Genomic Features 10: BEDtools II15min
1 leituras
Module 2 Exam Instructions **IMPORTANT**10min
2 exercícios práticos
Module 2 Quiz20min
Module 2 Exam40min
2 horas para concluir
Week Three
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
2 horas para concluir
8 vídeos (Total 55 mín.), 1 leitura, 2 testes
8 videos
Alignment & Sequence Variation 2: Alignment & Variant Detection Tools5min
Alignment & Sequence Variation 3: VCF11min
Alignment & Sequence Variation 4: Bowtie9min
Alignment & Sequence Variation 5: BWA 4min
Alignment & Sequence Variation 6: SAMtools (mpileup)6min
Alignment & Sequence Variation 7: BCFtools8min
Alignment & Sequence Variation 8: Variant Calling5min
1 leituras
Module 3 Exam Instructions **IMPORTANT**10min
2 exercícios práticos
Module 3 Quiz20min
Module 3 Exam48min
3 horas para concluir
Week Four
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.
3 horas para concluir
8 vídeos (Total 75 mín.), 2 leituras, 2 testes
8 videos
Tools for Transcriptomics 2: RNA-seq7min
Tools for Transcriptomics 3.1: Tophat I9min
Tools for Transcriptomics 3.2: Tophat II 8min
Tools for Transcriptomics 4: Cufflinks10min
Tools for Transcriptomics 5: Cuffdiff16min
Tools for Transcriptomics 6.1: Integrated Genomics Viewer I8min
Tools for Transcriptomics 6.2: Integrated Genomics Viewer II 6min
2 leituras
Module 4 Exam Instructions **IMPORTANT**10min
Post-Course Survey10min
2 exercícios práticos
Module 4 Quiz20min
Module 4 Exam1h 10min
Avaliações
Principais avaliações do FERRAMENTAS DE LINHA DE LOMANDO PARA ANÁLISE DE DADOS GENÔMICOS
por SCOct 17, 2016
Th lecturer could be a little more engaging and the materials used during classes, if made available would help following it better, by replicating the examples being shown.
por GGMay 10, 2017
Great course. The last exam is a little bit tricky, specially when some commands are large and confusing. But with the help of forums, you can still find the right answers.
por ADAug 26, 2018
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
por JJJun 22, 2018
Thank you very much Dr./Professor, Liliana Florea. I've learned a lot. It's a very good opportunity to improve my knowledge. This means a lot to me.
por GVMar 13, 2016
Very informative course. Because I am new to this, it was at times confusing. But overall, great teaching and great experience. Thank you.
por WLJul 6, 2016
This is perhaps one of the most clearly taught courses I have had on Coursera. Thank you for putting in time to teach us!
por AMAug 21, 2019
Interesting course. I have used some of this tools for some time but I find their's still something new to learn
por EKMar 3, 2019
Excellent Introduction to Command Line Tools used in High Throughput Sequencing Analysis.
por VDJan 8, 2017
More in-depth explanation would be better. Reasonable projects, overall. Well structured.
por GYAug 28, 2017
Highly recommended.\n\nI suggest you take it before "Genomic Data Science with Galaxy".
por SAJul 13, 2018
Great resource to learn unix codes and prepare your self for analysing genomic data
por SYFeb 17, 2020
very good course, the flow of the course is really good, learned so many things
Sobre Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Sobre Programa de cursos integrados Análise de Dados GenômicosAnálise Genômica
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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