Yeast Systems Biology : Methods and Protocols /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Oliver, Stephen G. (Editor ), Castrillo, Juan I. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2019.
Edición:2nd ed. 2019.
Colección:Methods in Molecular Biology, 2049
Materias:
Tabla de Contenidos:
  • Yeast Systems Biology: The Continuing Challenge of Eukaryotic Complexity
  • Capture of Ribonucleotides in Yeast Genomic DNA using Ribose-Seq
  • Method for Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas9
  • Ultra-High-Density Screens for Genome-Wide Yeast EMAPs in a Single Plate
  • Epi-ID: Systematic and Direct Screening for Chromatin Regulators in Yeast by Barcode ChIP-Seq
  • Transcript Profiling Analysis through Paired-End Ditag (PET) Approach Coupled with Deep Sequencing Revealing Transcriptome Complexity in Yeast
  • RNA Sequencing Best Practices: Experimental Protocol and Data Analysis
  • Advanced Methods for the Analysis of Altered Pre-mRNA Splicing in Yeast and Disease
  • PAT-Seq: A Method for Simultaneous Quantitation of Gene Expression, Poly(A)-Site Selection and Poly(A) Length-Distribution in Yeast Transcriptomes
  • Mapping the Saccharomyces cerevisiae Spatial Proteome with High Resolution using hyperLOPIT
  • Data-Independent Acquisition for Yeast Glycoproteomics
  • Protein-Protein Interaction Profiling in Candida albicans Revealed by Biochemical Purification-Mass Spectrometry (BP/MS)
  • Probing the RNA-Binding Proteome from Yeast to Man: Major Advances and Challenges
  • Metabolomic Analysis of Yeast and Human Cells: Latest Advances and Challenges
  • Measuring the Activity of Plasma Membrane and Vacuolar Transporters in Yeast
  • Self-Establishing Communities: A Yeast Model to Study the Physiological Impact of Metabolic Cooperation in Eukaryotic Cells
  • Data Management in Computational Systems Biology: Exploring Standards, Tools, Databases, and Packaging Best Practices
  • Rational Design and Methods of Analysis for the Study of Short- and Long-Term Dynamic Responses of Eukaryotic Systems
  • Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges
  • Next-Generation Genome-Scale Models Incorporating Multilevel ‘omics Data: From Yeast to Human
  • Advanced Modeling of Cellular Proliferation: Towards a Multi-Scale Framework Coupling Cell Cycle to Metabolism by Integrating Logical and Constraint-Based Models
  • Yeast Genome Screening and Methods for the Discovery of Metabolism Pathways Involved in a Phenotypic Response to Anti-Cancer Agents
  • Advanced Yeast Models of Familial Alzheimer Disease Expressing FAD-Linked Presenilin to Screen Mutations and g-Secretase Modulators
  • From Yeast-to-Humans: Leveraging New Approaches in Yeast to Accelerate Discovery of Therapeutic Targets for Synucleinopathies.