Cancer Genomics and Proteomics : Methods and Protocols /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wajapeyee, Narendra. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2014.
Edición:2nd ed. 2014.
Colección:Methods in Molecular Biology, 1176
Materias:
Tabla de Contenidos:
  • Genome-Wide Mapping Of RNA Pol-II Promoter Usage In Mouse Tissues By Chip-Seq
  • Using Native Chromatin Immunoprecipitation To Interrogate Histone Variant Protein Deposition In Embryonic Stem Cells
  • Reduced Representation Bisulfite Sequencing To Identify Global Alteration In The DNA Methylation
  • A High-Throughput Microrna Expression Profiling System
  • Using Pooled Mir30-Shrna Library For Cancer Lethal And Synthetic Lethal Screens
  • Genome-Wide RNA Interference Screening To Identify Regulators Of Epigenetic Silencing Of A Tumor Suppressor Gene
  • A Diphtheria Toxin Negative Selection In RNA Interference Screening
  • Cancer Metabolism: Crosstalk Between Signaling And O-Glcnacylation
  • Targeted Genome Modification Via Triple Helix Formation
  • Synthesis Of Stabilized Alpha-Helical Peptides
  • Arginine-Grafted Biodegradable Polymer: A Versatile Transfection Reagent For Both DNA And Sirna
  • Using Laco Arrays To Monitor DNA Double-Strand Break Dynamics In Live Schizosaccharomyces Pombe Cells
  • Zebrafish As A Platform To Study Tumor Progression
  • Clonal Screens To Find Modifiers Of Partially Penetrant Phenotypes In C. Elegans
  • Serum Profiling Using Protein Microarrays To Identify Disease Related Antigens
  • Interrogation Of In Vivo Protein-Protein Interactions Using Transgenic Mouse Models And Stable Isotope Labeling
  • New Biophysical Methods To Study The Membrane Activity Of Bcl-2 Proteins
  • Purification Of Recombinant 2XMBP Tagged Human Proteins From Human Cells
  • Computational Analysis In Cancer Exome Sequencing
  • Matrix Factorization Methods For Integrative Cancer Genomics
  • Computational Methods For DNA Copy-Number Analysis Of Tumors.