Acerca de este Curso
4,283

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

None required but you should be familiar with basic aspects of plant and molecular biology. Bioinformatic Methods I and II would be good preparation

Aprox. 11 horas para completar

Sugerido: 6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time...

Inglés (English)

Subtítulos: Inglés (English)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Nivel intermedio

None required but you should be familiar with basic aspects of plant and molecular biology. Bioinformatic Methods I and II would be good preparation

Aprox. 11 horas para completar

Sugerido: 6 weeks of hands-on study, plus 2 evaluation weeks. The hands-on modules will take 2-4 hours of time...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
3 horas para completar

Plant Genomic Databases, and useful sites for info about proteins

In this module we'll be exploring several plant databases including Ensembl Plants, Gramene, PLAZA, SUBA, TAIR and Araport. The information in these databases allows us to easily identify functional regions within gene products, view subcellular localization, find homologs in other species, and even explore pre-computed gene trees to see if our gene of interest has undergone a gene duplication event in another species, all at the click of a mouse!...
4 videos (Total 44 minutos), 4 readings, 1 quiz
4 videos
Mini-lecture17m
Lab Discussion23m
Summary1m
4 lecturas
Acknowledgements10m
Course Logistics10m
Mini-lecture Notes10m
Lab 1 -- Plant Genomic Databases and Tools for Exploring Protein Information30m
1 ejercicio de práctica
Lab Quiz 1
Semana
2
2 horas para completar

Expression Analysis

Vast databases of gene expression and nifty visualization tools allow us to explore where and when a gene is expressed. Often this information can be used to help guide a search for a phenotype if we don't see a phenotype in a gene mutant under "normal" growth conditions. We explore several tools for Arabidopsis data (eFP Browser, Genevestigator, TraVA DB, Araport) along with NCBI's Genome Data Viewer for RNA-seq data for other plant species. We also examine the MPSS database of small RNAs and degradation products to see if our example gene has any potential microRNA targets....
4 videos (Total 38 minutos), 2 readings, 1 quiz
4 videos
Mini-lecture17m
Lab Discussion18m
Summary50s
2 lecturas
Mini-lecture Notes10m
Lab 2 -- Expression Analysis30m
1 ejercicio de práctica
Lab Quiz 2
Semana
3
2 horas para completar

Coexpression Tools

Being able to group genes by similar patterns of expression across expression data sets using algorithms like WGCNA is a very useful way of organizing the data. Clusters of genes with similar patterns of expression can then be subject to Gene Ontology term enrichment analysis (see Module 5) or examined to see if they are part of the same pathway. What's even more powerful is being able to identify genes with similar patterns of expression without doing a single expression profiling experiment, by mining gene expression databases! There are several tools that allow you to do this in many plant species simply by entering a query gene identifier. The genes that are returned are often in the same biological process as the query gene, and thus this "guilt-by-association" paradigm is a excellent tool for hypothesis generation....
4 videos (Total 29 minutos), 2 readings, 1 quiz
4 videos
Mini-lecture9m
Lab Discussion16m
Summary49s
2 lecturas
Mini-lecture Notes10m
Lab 3 -- Coexpression Tools30m
1 ejercicio de práctica
Lab Quiz 3
Semana
4

Sectional Quiz 1

...
1 quiz
1 ejercicio de práctica
Sectional Quiz 1
4.8
8 revisionesChevron Right

Principales revisiones

por QRMar 10th 2019

Very good course for mastering bioinformatics skills. Genetics and molecular biology students/professionals should take this course to augment their research skills.

por FSFeb 22nd 2019

Professor Provart is very good and the labs taught us in simple and direct instructions how to perform a wide range of analysis regarding Plant Bioinformatics.

Instructor

Avatar

Nicholas James Provart

Professor
Cell & Systems Biology

Acerca de 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. ...

Preguntas Frecuentes

  • 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.

  • Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, 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 participar del curso como oyente sin costo.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.