Next generation microarray bioinformatics : methods and protocols
Next generation microarray bioinformatics : methods and protocols
- New York : Humana Press ; Springer, c2012.
- xvi, 401 p. : ill. (some col.)
- Methods in molecular biology ; Springer protocols .
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 --
Modeling gene regulation networks using ordinary differential equations --
Nonhomogeneous dynamic bayesian networks in systems biology --
Inference of regulatory networks from microarray data with R and the bioconductor package qpgraph --
Effective non-linear 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.
This book opens up new research avenues for the investigation of a wide range of biological and medical questions across the entire genome at single base resolution. It provides step-by-step detail essential for reproducible results
9781617793998 161779399X 9781617794001 1617794007
DNA microarrays.
Bioinformatics.
Computational Biology.
Microarray Analysis.
572.8636 / NEX
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 --
Modeling gene regulation networks using ordinary differential equations --
Nonhomogeneous dynamic bayesian networks in systems biology --
Inference of regulatory networks from microarray data with R and the bioconductor package qpgraph --
Effective non-linear 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.
This book opens up new research avenues for the investigation of a wide range of biological and medical questions across the entire genome at single base resolution. It provides step-by-step detail essential for reproducible results
9781617793998 161779399X 9781617794001 1617794007
DNA microarrays.
Bioinformatics.
Computational Biology.
Microarray Analysis.
572.8636 / NEX