Description
Plant Bioinformatics Specialization, past It’s been an exciting 15 years in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and the proliferation of “-seq”-based methods has allowed protein-protein and protein-DNA interactions to be determined inexpensively and in high-throughput. Thesis Data sets in turn allow us to generate hypotheses at the click of a mouse or the 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 interactions, structural bioinformatics, and RNA-seq analysis in Bioinformatic Methods II. In plants Bioinformatics We Cover 33 plant-specific online tools, from genome browsers to transcriptomic data mining to promoter/network analysis and more. Finally, a Plant Bioinformatics Capstone uses these tools to hypothesize a biological role for a gene of unknown function, which is summarized in a written lab report. This specialization is useful for any modern plant molecular biologist who wants to realize the incredible scope of available data. Researchers are introduced to a small amount of R programming 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 to run these as they may not work as mobile applications on your phone or tablet.
What you will learn
- Genetic Analysis
- Bioinformatics Analysis
- Development
- Comparative Genomics
Specificity of Plant Bioinformatics Specialization
Contents of Plant Bioinformatics Expertise
Requirements
- no previous experience required
Pictures
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installation Guide
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Subtitles: English
Quality: 720p
Download links
Bioinformatics Methods I
Bioinformatics Methods II
Plant Bioinformatics
Plant Bioinformatics Capstone
Password File(s): free download software
file size
1.5GB