Next Generation Microarray Bioinformatics Methods and Protocols [electronic resource] :

  • Wang, Junbai. editor. , Tan, Aik Choon. editor. , Tian, Tianhai. editor.
  • 2012
Next Generation Microarray Bioinformatics Methods and Protocols [electronic resource] :
  • 자료유형
  • 서명/저자사항
    Next Generation Microarray Bioinformatics[electronic resource] :Methods and Protocols / edited by Junbai Wang, Aik Choon Tan, Tianhai Tian.
  • 개인저자
    Wang, Junbai., editor., Tan, Aik Choon., editor., Tian, Tianhai., editor.
  • 단체저자
    SpringerLink (Online service)
  • 형태사항
    XVI, 401 p. 96 illus., 30 illus. in color. : online resource.
  • 총서명
    Methods in Molecular Biology, Methods and Protocols,1064-3745 ; 802
  • 내용주기
    A Primer on the Current State of Microarray Technologies.-혻The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals -- Strategies to Explore Functional Genomics Data Sets in NCBI?셲 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.-혻Analysis of Isoform Expression from Splicing Array using Multiple Comparisons.-혻Functional 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.-혻Inference 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.-혻Analyzing 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.-혻Epigenetic 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.
  • 일반주제명
    Life sciences.
    Life Sciences.
  • 기본자료 저록
    Springer eBooks
  • 기타형태 저록
    Printed edition: 9781617793998
  • ISBN
  • 언어