Functional Genomics and Bioinformatics in Plants
( 25 Modules )

Module #1
Introduction to Functional Genomics
Overview of functional genomics, its importance in plant biology, and applications

Module #2
Plant Genome Organization
Structure and organization of plant genomes, gene density, and genome size

Module #3
Genome Sequencing Technologies
Overview of next-generation sequencing technologies, their applications, and limitations

Module #4
Genome Assembly and Annotation
Methods for assembling and annotating plant genomes, including gene finding and functional annotation

Module #5
Functional Genomics Databases
Overview of databases for functional genomics in plants, including Ensembl Plants and Gramene

Module #6
Transcriptomics:RNA-Seq Analysis
Introduction to RNA-Seq, data analysis, and interpretation of results

Module #7
Differential Gene Expression Analysis
Methods for identifying differentially expressed genes, including statistical analysis and visualization

Module #8
Functional Enrichment Analysis
Methods for identifying functional categories and pathways enriched with differentially expressed genes

Module #9
Co-Expression Network Analysis
Introduction to co-expression network analysis, including network construction and module identification

Module #10
ChIP-Seq Analysis
Introduction to ChIP-Seq, data analysis, and interpretation of results

Module #11
Cis-Element Analysis
Identification and analysis of cis-elements in plant promoter regions

Module #12
Transcription Factor Binding Site Analysis
Methods for identifying transcription factor binding sites and their functional implications

Module #13
Epigenomics in Plants
Introduction to epigenomics in plants, including DNA methylation, histone modifications, and chromatin remodeling

Module #14
Bioinformatics Tools for Functional Genomics
Overview of command-line tools and programming languages for functional genomics, including Linux and Python

Module #15
R Programming for Functional Genomics
Introduction to R programming for functional genomics, including data visualization and statistical analysis

Module #16
Bioconductor for Functional Genomics
Introduction to Bioconductor, a collection of R packages for functional genomics and bioinformatics

Module #17
Plant Genome-Wide Association Studies (GWAS)
Introduction to GWAS, including study design, data analysis, and interpretation of results

Module #18
Quantitative Trait Locus (QTL) Mapping
Introduction to QTL mapping, including study design, data analysis, and interpretation of results

Module #19
Functional Genomics of Plant Development
Applications of functional genomics to understanding plant development, including root, shoot, and flower development

Module #20
Functional Genomics of Plant Stress Responses
Applications of functional genomics to understanding plant stress responses, including drought, heat, and biotic stress

Module #21
Functional Genomics of Plant Metabolism
Applications of functional genomics to understanding plant metabolism, including primary and secondary metabolism

Module #22
Functional Genomics of Plant Pathogen Interactions
Applications of functional genomics to understanding plant-pathogen interactions, including host-pathogen interactions and disease resistance

Module #23
Functional Genomics of Plant Hormone Signaling
Applications of functional genomics to understanding plant hormone signaling, including auxin, gibberellin, and cytokinin signaling

Module #24
Functional Genomics in Crop Improvement
Applications of functional genomics in crop improvement, including marker-assisted selection and genetic engineering

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Functional Genomics and Bioinformatics in Plants career

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Functional Genomics and Bioinformatics in Plants ( 25 Modules )

Functional Genomics and Bioinformatics in Plants
( 25 Modules )