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001444834 001__ 1444834
001444834 003__ OCoLC
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001444834 019__ $$a1302003867$$a1302009977$$a1302108654$$a1302123122$$a1302179112
001444834 020__ $$a9783030918361$$q(electronic bk.)
001444834 020__ $$a303091836X$$q(electronic bk.)
001444834 020__ $$z9783030918354
001444834 020__ $$z3030918351
001444834 0247_ $$a10.1007/978-3-030-91836-1$$2doi
001444834 035__ $$aSP(OCoLC)1301946388
001444834 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dOCLCO$$dN$T$$dUKAHL$$dOCLCQ
001444834 049__ $$aISEA
001444834 050_4 $$aRC271.G45$$bC66 2022
001444834 08204 $$a616.99/4042$$223
001444834 24500 $$aComputational methods for precision oncology /$$cAlessandro Laganà, editor.
001444834 264_1 $$aCham :$$bSpringer,$$c[2022]
001444834 264_4 $$c©2022
001444834 300__ $$a1 online resource :$$billustrations (some color).
001444834 336__ $$atext$$btxt$$2rdacontent
001444834 337__ $$acomputer$$bc$$2rdamedia
001444834 338__ $$aonline resource$$bcr$$2rdacarrier
001444834 4901_ $$aAdvances in experimental medicine and biology ;$$vvolume 1361
001444834 500__ $$aIncludes index.
001444834 5050_ $$aPart One: Basic Concepts in Precision Oncology -- Chapter 1. Design and Implementation of a precision oncology workflow -- Chapter 2. An overview of cancer genome sequencing -- Chapter 3. Software infrastructures for precision medicine workflows -- Part Two: Current Computational Methods and Tools in Precision Oncology -- Chapter 4. Somatic and germline variant calling from next-generation sequencing data -- Chapter 5. Identification of copy number alterations from next-generation sequencing data -- Chapter 6. Genome-wide discovery of large-scale structural variants from next-generation sequencing data -- Chapter 7. Assessment of microsatellite instability from next-generation sequencing data -- Chapter 8. Computational approaches for the investigation of intra-tumor heterogeneity and clonal evolution from bulk sequencing data -- Chapter 9. Analysis of the transcriptome for precision oncology applications -- Chapter 10. Computational methods for drug repurposing -- Chapter 11. Pathway for analysis for precision oncology applications -- Chapter 12. Identification of fusion transcripts from RNA-seq -- Chapter 13. Computational resources for the interpretation of variations in cancer -- Chapter 14. Analysis of electronic health records for precision oncology -- Chapter 15. Network approaches for precision oncology -- Chapter 16. Experimental validation of genomic alterations -- Part Three: Advanced Concepts - The Future of Precision Oncology -- Chapter 17. Molecular profiling of liquid biopsies for precision oncology -- Chapter 18. Artificial intelligence for precision oncology -- Chapter 19. Single-cell technologies in precision oncology -- Chapter 20. Computational approaches for precision immuno-oncology -- Chapter 21. Multi-pmics profiling of the tumor microenvironment -- Chapter 22. Epigenetic and precision oncology -- Chapter 23. Next generation knowledge bases to support precision oncology.
001444834 506__ $$aAccess limited to authorized users.
001444834 520__ $$aPrecision medicine holds great promise for the treatment of cancer and represents a unique opportunity for accelerated development and application of novel and repurposed therapeutic approaches. Current studies and clinical trials demonstrate the benefits of genomic profiling for patients whose cancer is driven by specific, targetable alterations. However, precision oncologists continue to be challenged by the widespread heterogeneity of cancer genomes and drug responses in designing personalized treatments. Chapters provide a comprehensive overview of the computational approaches, methods, and tools that enable precision oncology, as well as related biological concepts. Covered topics include genome sequencing, the architecture of a precision oncology workflow, and introduces cutting-edge research topics in the field of precision oncology. This book is intended for computational biologists, bioinformaticians, biostatisticians and computational pathologists working in precision oncology and related fields, including cancer genomics, systems biology, and immuno-oncology.
001444834 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 10, 2022).
001444834 650_0 $$aCancer$$xGene therapy.
001444834 650_0 $$aPersonalized medicine.
001444834 650_0 $$aBioinformatics.
001444834 650_6 $$aCancer$$xThérapie génique.
001444834 650_6 $$aMédecine personnalisée.
001444834 650_6 $$aBio-informatique.
001444834 655_0 $$aElectronic books.
001444834 7001_ $$aLaganà, Alessandro.$$eeditor.
001444834 77608 $$iPrint version:$$z3030918351$$z9783030918354$$w(OCoLC)1280600430
001444834 77608 $$iPrint version:$$tCOMPUTATIONAL METHODS FOR PRECISION ONCOLOGY.$$d[S.l.] : SPRINGER NATURE, 2022$$z3030918351$$w(OCoLC)1280600430
001444834 830_0 $$aAdvances in experimental medicine and biology ;$$vv. 1361.
001444834 852__ $$bebk
001444834 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-91836-1$$zOnline Access$$91397441.1
001444834 909CO $$ooai:library.usi.edu:1444834$$pGLOBAL_SET
001444834 980__ $$aBIB
001444834 980__ $$aEBOOK
001444834 982__ $$aEbook
001444834 983__ $$aOnline
001444834 994__ $$a92$$bISE