LEADER 04167nam 22006735 450 001 9910502640303321 005 20251113211052.0 010 $a981-16-3993-0 024 7 $a10.1007/978-981-16-3993-7 035 $a(CKB)4100000012036789 035 $a(MiAaPQ)EBC6734389 035 $a(Au-PeEL)EBL6734389 035 $a(OCoLC)1269482049 035 $a(PPN)258057688 035 $a(DE-He213)978-981-16-3993-7 035 $a(EXLCZ)994100000012036789 100 $a20210924d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBioinformatics in Rice Research $eTheories and Techniques /$fedited by Manoj Kumar Gupta, Lambodar Behera 205 $a1st ed. 2021. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021. 215 $a1 online resource (609 pages) 225 1 $aBiomedical and Life Sciences Series 311 08$a981-16-3992-2 327 $aChapter 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. 330 $aThis book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment. In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics. Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research. 410 0$aBiomedical and Life Sciences Series 606 $aBioinformatics 606 $aBiology$xTechnique 606 $aGenomics 606 $aGene expression 606 $aAgriculture 606 $aComputational and Systems Biology 606 $aGenomic Analysis 606 $aGene Expression Analysis 606 $aAgriculture 615 0$aBioinformatics. 615 0$aBiology$xTechnique. 615 0$aGenomics. 615 0$aGene expression. 615 0$aAgriculture. 615 14$aComputational and Systems Biology. 615 24$aGenomic Analysis. 615 24$aGene Expression Analysis. 615 24$aAgriculture. 676 $a633.18 702 $aGupta$b Manoj Kumar 702 $aBehera$b Lambodar 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910502640303321 996 $aBioinformatics in Rice Research$92568004 997 $aUNINA