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020			_a9789813347915
024	7		_a10.1007/978-981-33-4791-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aS494.5.D3 _b2021 EB
245	0	0	_aBioinformatics for Agriculture : _bHigh-throughput Approaches _cedited by Atul Kumar Upadhyay, R Sowdhamini, Virupaksh U. Patil
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Publishing _c2021
264		4	_c2021
300			_a1 recurso en línea (V, 160 páginas) _b34 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aBiomedical and Life Sciences (SpringerNature-11642)
490	0		_aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505	0		_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.
520	3		_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.
988			_aSpringer_BiomedLife_2021
650		7	_9665994 _aAgricultura _xProceso de datos
700	1		_aUpadhyay, Atul Kumar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSowdhamini, R. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPatil, Virupaksh U. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9789813347908
776	0	8	_iPrinted edition: _z9789813347922
776	0	8	_iPrinted edition: _z9789813347939
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4791-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _ek _zSI