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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Habilidades que obtendrás
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.
- 5 stars77,05 %
- 4 stars18,56 %
- 3 stars3,43 %
- 2 stars0,38 %
- 1 star0,57 %
Principales reseñas sobre BIOINFORMATIC METHODS I
Explanation was on point. As a beginner didn't have to face much problem to understand terminologies and concepts and PDF of the study materials played an important role to understand.
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. :-)
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!
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!
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.
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