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020 _a9789819984015
024 7 _a10.1007/978-981-99-8401-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH324.2
_b2024 EB
245 0 0 _aAdvances in Bioinformatics
_cedited by Vijai Singh, Ajay Kumar
250 _a2nd ed. 2024
264 1 _aSingapore
_bSpringer Nature Singapore
_c2024
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aCh 1 Revolutionizing Genomics: Exploring the Potential of Next-Generation Sequencing -- Ch 2 Advances in structural bioinformatics -- Ch 3 Functional genomics and network biology -- Ch 4 Bioinformatics in gene and genome analysis -- Ch 5 Role of bioinformatics in non-coding RNA analysis -- Ch 6 Next generation sequencing in healthcare -- Ch 7 Genome scale modelling for novel drug targets -- Ch 8 Role of bioinformatics in genome editing -- Ch 9 Bioinformatics in pathway identification, design, modelling and simulation -- Ch 10 Integration of Metabolomics and Flux Balance Analysis: Applications and Challenges -- Ch 11 Bioinformatics in drug discovery -- Ch 12 Use of bioinformatics in high throughput drug screening -- Ch 13 Bioinformatics in precision medicine and healthcare -- Ch 14 Role of bioinformatics in data mining and big data analysis -- Ch 15 Unveiling the Dynamic Role of Bioinformatics in Automation for Efficient and Accurate Data Processing and Interpretation -- Ch 16 Artificial intelligence and machine learning in bioinformatics -- Ch 17 Bioinformatics in preventive medicine and epidemiology.
520 _aThe second edition of Advances in Bioinformatics presents the latest developments in bioinformatics in gene discovery, genome analysis, genomics, transcriptomics, proteomics, metabolomics, metabolic flux analysis, drug discovery, and drug repurposing. It includes advancements in the applications of bioinformatics in the analysis of non-coding RNA, next-generation sequencing, gene synthesis, genome-scale modeling, high throughput drug screening, precision medicine, automation, artificial intelligence, and machine learning. Additionally, the book highlights some of the areas in which bioinformatics resources and methods are being developed to support the drug discovery pipeline. The chapter also discusses the role of bioinformatics in modeling and simulations of molecular biology systems in pathways identification and design. It is a valuable source of information for beginners in bioinformatics and students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in biomedical and allied sciences.
988 _aSpringer_BiomedLife_2024
650 7 _2embne
_9160489
_aBioinformática
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-8401-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b03/2024
_dz
_eb
_zSI