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008 220301s2022 sz | s |||| 0|eng d
020 _a9783030918361
024 7 _a10.1007/978-3-030-91836-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 4 _aRC271.G45
_b2022 EB
245 1 0 _aComputational Methods for Precision Oncology
_cedited by Alessandro Laganà.
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XIV, 336 páginas)
_b36 ilustraciones, 26 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aAdvances in Experimental Medicine and Biology
_x2214-8019
_v1361
505 0 _aPart One: Basic Concepts in Precision Oncology -- Chapter 1. Design and Implementation of a precision oncology workflow -- Chapter 2. An overview of cancer genome sequencing -- Chapter 3. Software infrastructures for precision medicine workflows -- Part Two: Current Computational Methods and Tools in Precision Oncology -- Chapter 4. Somatic and germline variant calling from next-generation sequencing data -- Chapter 5. Identification of copy number alterations from next-generation sequencing data -- Chapter 6. Genome-wide discovery of large-scale structural variants from next-generation sequencing data -- Chapter 7. Assessment of microsatellite instability from next-generation sequencing data -- Chapter 8. Computational approaches for the investigation of intra-tumor heterogeneity and clonal evolution from bulk sequencing data -- Chapter 9. Analysis of the transcriptome for precision oncology applications -- Chapter 10. Computational methods for drug repurposing -- Chapter 11. Pathway for analysis for precision oncology applications -- Chapter 12. Identification of fusion transcripts from RNA-seq -- Chapter 13. Computational resources for the interpretation of variations in cancer -- Chapter 14. Analysis of electronic health records for precision oncology -- Chapter 15. Network approaches for precision oncology -- Chapter 16. Experimental validation of genomic alterations -- Part Three: Advanced Concepts - The Future of Precision Oncology -- Chapter 17. Molecular profiling of liquid biopsies for precision oncology -- Chapter 18. Artificial intelligence for precision oncology -- Chapter 19. Single-cell technologies in precision oncology -- Chapter 20. Computational approaches for precision immuno-oncology -- Chapter 21. Multi-pmics profiling of the tumor microenvironment -- Chapter 22. Epigenetic and precision oncology -- Chapter 23. Next generation knowledge bases to support precision oncology. .
520 _aPrecision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
776 0 8 _iPrinted edition:
_z9783030918354
776 0 8 _iPrinted edition:
_z9783030918378
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-91836-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_BiomedLife_2022
999 _c395230
_d395230