Next Generation Microarray Bioinformatics : Methods and Protocols /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wang, Junbai. (Editor ), Tan, Aik Choon. (Editor ), Tian, Tianhai. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Totowa, NJ : Humana Press : Imprint: Humana, 2012.
Edición:1st ed. 2012.
Colección:Methods in Molecular Biology, 802
Materias:
Tabla de Contenidos:
  • A Primer on the Current State of Microarray Technologies.- The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals
  • Strategies to Explore Functional Genomics Data Sets in NCBI’s GEO Database.-Analyzing Cancer Samples with SNP Arrays
  • Classification Approaches for Microarray Gene Expression Data Analysis.-Biclustering of Time Series Microarray Data
  • Using the Bioconductor GeneAnswers Package to Interpret Gene Lists.- Analysis of Isoform Expression from Splicing Array using Multiple Comparisons.- Functional Comparison of Microarray Data across Multiple Platforms Using the Method of Percentage of Overlapping Functions
  • Performance Comparison of Multiple Microarray Platforms for Gene Expression Profiling
  • Integrative Approaches for Microarray Data Analysis-.Modelling Gene Regulation Networks using Ordinary Differential Equations
  • Non-homogeneous Dynamic Bayesian Networks in Systems Biology.- Inference of Regulatory Networks from Microarray Data with R and the Bioconductor Package qpgraph
  • Effective Nonlinear Methods for Inferring Genetic Regulation from Time-series Microarray Gene Expression Data
  • An Overview of the Analysis of Next Generation Sequencing Data
  • How to Analyze Gene Expression using RNA-Sequencing Data.- Analyzing ChIP-seq Data: Preprocessing, Normalization, Differential Identification and Binding Pattern Characterization
  • Identifying Differential Histone Modification Sites from ChIP-seq Data
  • ChIP-Seq Data Analysis: Identification of Protein-DNA Binding Sites with SISSRs Peak Finder
  • Using ChIPMotifs for de novo Motif Discovery of OCT4 and ZNF263 based on ChIP-based High-throughput Experiments
  • Hidden Markov Models for Controlling False Discovery Rate in Genome-Wide Association Analysis
  • Employing Gene Set Top Scoring Pairs to Identify Deregulated Pathway-Signatures in Dilated Cardiomyopathy from Integrated Microarray Gene Expression Data.-JAMIE: A Software Tool for Jointly Analyzing Multiple ChIP-chip Experiments.- Epigenetic Analysis: ChIP-chip and ChIP-seq
  • BiNGS!SL-seq: A Bioinformatics Pipeline for the Analysis and Interpretation of Deep Sequencing Genome-wide Synthetic Lethal Screen.