Bioinformatics in rice research : theories and techniques /

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Bibliographic Details
Imprint:	Singapore : Springer, [2021] ©2021
Description:	1 online resource : illustrations (chiefly color)
Language:	English
Subject:	Rice -- Research. Rice -- Genetics -- Research. Bioinformatics. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12660210

Hidden Bibliographic Details
Other authors / contributors:	Gupta, Manoj Kumar, editor. Behera, Lambodar, editor.
ISBN:	9789811639937 9811639930 9789811639920 9811639922
Notes:	Online resource; title from PDF title page (SpringerLink, viewed October 8, 2021).
Summary:	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.
Other form:	Original 9811639922 9789811639920
Standard no.:	10.1007/978-981-16-3993-7

Table of 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.

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