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Full Description
This book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment.
In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics.
Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.
Contents
Chapter 1_Introduction to Bioinformatics.- Chapter 2_Statistics for bioinformatics.- Chapter 3_ Introduction of the databases of rice.- Chapter 4_Brief insight into the evolutionary history and domestication of wild rice relatives.- Chapter 5_3000 Genome project- A brief insight.- Chapter 6_ Databases and bioinformatics tools for data mining .- Chapter 7_Sequence Alignment.- Chapter 8_Gene identification and structure Annotation.- Chapter 9_Phylogenetic Analysis.- Chapter 10_RNA Structure Prediction. -Chapter 11_Structural Proteomics.- Chapter 12_Gene ontology and pathway enrichment analysis.- Chapter 13_High throughput sequencing technologies.- Chapter 14_Mapping algorithms in high-throughput sequencing.- Chapter 15_DNA-Protein Interaction Analysis (ChIP-Seq).- Chapter 16_RNA-Protein Interaction Analysis.- Chapter 17_SNP Identification and Discovery.- Chapter 18_Microsatellite Markers from whole genome and Transcriptomic Sequences. - Chapter 19_Genome-wide association study.- Chapter 20_Expression Profiling and Discovery of microRNA.- Chapter 21_Computational approaches in identifying long non-coding RNA.- Chapter 22_circRNA in rice.- Chapter 23_ Metagenomics.- Chapter 24_RNA-Induced Gene Silencing.- Chapter 25_Single-cell RNA sequencing technologies.- Chapter 26_Recent Advancement in NGS Technologies.
