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Spatial Omics

Methods for Reconstructing the Spatial Heterogeneity of Biological Tissue

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Spatial Omics Kieran Mcgourty
Koda Libristo: 42846940
Založba Elsevier Science, september 2023
Spatial Omics: Methods for reconstructing the spatial heterogeneity of biological tissue is a comple... Celoten opis
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Spatial Omics: Methods for reconstructing the spatial heterogeneity of biological tissue is a complete and detailed reference on research methods that combine the in-depth analysis at single cell level with context provided by tissue positioning. The methods covered in the book can be grouped into four major themes including: Methods that require the mechanical tissue retrieval, digestion and enrichment; Methods based on in situ hybridization and imaging; Methods reliant on next generation sequencing and hybrid techniques; and Computational based methods to determine spatial relatedness of cells. The technologies are focused on the balance between sensitivity, accuracy, and extent of features through which single cells can be evaluated (in-depth analysis), the throughput of cell processing and to what resolution they can be referred spatially (width analysis). Cellular and Molecular biologists will benefit from the derailed experimental setup information included in Spatial Omics: Methods for reconstructing the spatial heterogeneity of biological tissue. Computational Biologists and, Computer Scientists involved in biological visualization problems can use this book as a guide to interpret and analyze experimental data. Covers the methods currently available to reconstruct the spatial heterogeneity of biological tissue All methods follow a detailed and expansive template to detail all materials, equipment and steps involved to execute the experiments, in a consistent and reproducible way Authored by researchers from key laboratories around the world, who pioneered the techniques covered

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O knjigi

Polni naslov Spatial Omics
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2023
Število strani 350
EAN 9780323996860
Koda Libristo 42846940
Založba Elsevier Science
Mere 191 x 235
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