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.
Este curso forma parte de Programa Especializado - Plant Bioinformatic Methods
Bioinformatic Methods I
ofrecido por
Acerca de este Curso
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Resultados profesionales del estudiante
24%
comenzó una nueva carrera después de completar estos cursos
30%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
Habilidades que obtendrás
Genetic AnalysisBioinformatics AnalysisEvolutionComparative Genomics
Resultados profesionales del estudiante
24%
comenzó una nueva carrera después de completar estos cursos
30%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
100 % en línea
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Curso 1 de 4 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 13 horas para completar
Sugerido: 12-18 hours videos and labs
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Toronto
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.
Programa - Qué aprenderás en este curso
3 horas para completar
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.
3 horas para completar
4 videos (Total 51 minutos), 4 lecturas, 1 cuestionario
4 lecturas
Acknowledgements10m
Course Logistics10m
Lecture Materials10m
Lab 1 -- Exploring NCBI1h 30m
1 ejercicio de práctica
Lab 1 Quiz30m
3 horas para completar
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.
3 horas para completar
4 videos (Total 58 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Lecture Materials10m
Lab 2 -- Advanced Blast and Comparative Genomics1h 30m
1 ejercicio de práctica
Lab 2 Quiz30m
3 horas para completar
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.
3 horas para completar
4 videos (Total 44 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Lecture Materials10m
Lab 3 -- Multiple Sequence Alignment1h 30m
1 ejercicio de práctica
Lab 3 Quiz30m
1 hora para completar
Review: NCBI/Blast I, Blast II/Comparative Genetics, and Multiple Sequence Alignments
1 hora para completar
1 ejercicio de práctica
Quiz: Modules 1-330m
Revisiones
Principales revisiones sobre BIOINFORMATIC METHODS I
por EDApr 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.
por FJFeb 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!
por RGNov 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!
por CWJul 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!
Acerca de Programa especializado Plant Bioinformatic Methods
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
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