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010   $a981-334-791-0
024 7 $a10.1007/978-981-33-4791-5
035   $a(CKB)4100000011801654
035   $a(MiAaPQ)EBC6523269
035   $a(Au-PeEL)EBL6523269
035   $a(OCoLC)1246573615
035   $a(PPN)254725856
035   $a(DE-He213)978-981-33-4791-5
035   $a(EXLCZ)994100000011801654
100   $a20210319d2021      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aBioinformatics for agriculture: High-throughput approaches /$fedited by Atul Kumar Upadhyay, R Sowdhamini, Virupaksh U. Patil
205   $a1st ed. 2021.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2021.
215   $a1 online resource (160 pages)
225 1 $aBiomedical and Life Sciences Series
311 08$a981-334-790-2 
327   $aChapter 1_Introduction to concepts of Agri-informatics -- Chapter 2_Bioinformtics tools for genomics assisted breeding and population genetics -- Chapter 3_Role of computational biology in sustainable development of Agriculture -- Chapter 4_High Throughput Sequencing Technologies and Application In Crop Improvement -- Chapter 5_Systems biology approach for Simulation of omics data -- Chapter 6_Big data and its analyatics in Agriculture -- Chapter 7_Role of omics approaches in improving crop's nutritional value -- Chapter 8_Computational study of diseases and insect resistance to upgrade the production of plants.
330   $aThis book illustrates the importance and significance of bioinformatics in the field of agriculture. It first introduces the basic concepts of bioinformatics, such as homologous sequence and gene function analyses, determination of protein structures, and discusses machine learning applications for an in-depth understanding of the desired genes and proteins based on commonly used bioinformatics software and tools, e.g. BLAST, molecular modelling, molecular-docking and simulations, protein-protein and domain-domain interactions. The book also describes recent advances in the high-throughput analysis of whole genome and transcriptome using next-generation sequencing platforms, and functional proteome studies. It also examines the role of computational biology in understanding and improving the nutrient quality and yield of crops. Lastly, the book explores a comprehensive list of applications of bioinformatics to improve plant yield, biomass, and health, and the challenges involved.
410  0$aBiomedical and Life Sciences Series
606   $aBioinformatics
606   $aMedical genetics
606   $aAgriculture
606   $aPlant genetics
606   $aBioinformatics
606   $aMedical Genetics
606   $aAgriculture
606   $aPlant Genetics
615  0$aBioinformatics.
615  0$aMedical genetics.
615  0$aAgriculture.
615  0$aPlant genetics.
615 14$aBioinformatics.
615 24$aMedical Genetics.
615 24$aAgriculture.
615 24$aPlant Genetics.
676   $a630.2085
702   $aUpadhyay$b Atul Kumar
702   $aSowdhamini$b R.
702   $aPatil$b Virupaksh U.
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910484690203321
996   $aBioinformatics for agriculture$91892951
997   $aUNINA