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111201s2012 xxu| s |||| 0|eng d |
| 020 |
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|a 9781617794001
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| 024 |
7 |
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|a 10.1007/978-1-61779-400-1
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Next Generation Microarray Bioinformatics :
|b Methods and Protocols /
|c edited by Junbai Wang, Aik Choon Tan, Tianhai Tian.
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| 250 |
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|a 1st ed. 2012.
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| 260 |
# |
# |
|a Totowa, NJ :
|b Humana Press :
|b Imprint: Humana,
|c 2012.
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| 300 |
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|a XVI, 401 p. 96 illus., 30 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Methods in Molecular Biology,
|v 802
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| 505 |
0 |
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|a 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.
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| 650 |
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0 |
|a Bioinformatics.
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| 650 |
1 |
4 |
|a Bioinformatics.
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| 700 |
1 |
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|a Wang, Junbai.
|e editor.
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| 700 |
1 |
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|a Tan, Aik Choon.
|e editor.
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| 700 |
1 |
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|a Tian, Tianhai.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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