000			03578cam a22003137a 4500
020			_a9781617793998
020			_a161779399X
020			_a9781617794001
020			_a1617794007
082			_a572.8636 _bNEX
245	0	0	_aNext generation microarray bioinformatics : methods and protocols
260			_aNew York : _bHumana Press ; _bSpringer, _cc2012.
300			_axvi, 401 p. : _bill. (some col.)
490	1		_aMethods in molecular biology ;
490	1		_aSpringer protocols
505			_aA 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.
520			_aThis 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
650		0	_aDNA microarrays.
650		0	_aBioinformatics.
650		2	_aComputational Biology.
650		2	_aMicroarray Analysis.
700	1		_aWang, Junbai
700	1		_aTan, Aik Choon
700	1		_aTian, Tianhai
856			_uhttp://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=024545063&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
856	4	2	_uhttp://www.loc.gov/catdir/enhancements/fy1306/2011943561-d.html
856	4	1	_uhttp://www.loc.gov/catdir/enhancements/fy1306/2011943561-t.html
942			_cPR
999			_c44244 _d44244