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Tiling Arrays

Overview of attention for book
Cover of 'Tiling Arrays'

Table of Contents

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    Book Overview
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    Chapter 1 A Brief Introduction to Tiling Microarrays: Principles, Concepts, and Applications
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    Chapter 2 Design of Tiling Arrays and Their Application to Bacterial Transcriptome Analysis
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    Chapter 3 Transcript Profiling in Arabidopsis with Genome Tiling Microarrays
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    Chapter 4 Genome-Wide Analysis of Transcription Factor-Binding Sites in Skeletal Muscle Cells Using ChIP-Seq.
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    Chapter 5 Analysis of Allele-Specific Gene Expression Using a Target-Oriented Tiling Microarray Assay
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    Chapter 6 Detection of Epigenetic Alterations Using Tiling Arrays
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    Chapter 7 Investigating Gene Promoter Methylation in a Mouse Model of Status Epilepticus
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    Chapter 8 Integrative Analysis of ChIP-Chip and ChIP-Seq Dataset
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    Chapter 9 HAT: A Novel Statistical Approach to Discover Functional Regions in the Genome
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    Chapter 10 Inference of Alternative Splicing from Tiling Array Data
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    Chapter 11 Analysis of In Vivo Occupancy of Aebp1, a Transcription Factor, Using High Resolution Tiling Array
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    Chapter 12 Application of the Simple and Efficient Mpeak Modeling in Binding Peak Identification in ChIP-Chip Studies
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    Chapter 13 Evaluation of MeDIP-chip in the context of whole-genome bisulfite sequencing (WGBS-seq) in Arabidopsis. - PubMed - NCBI
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    Chapter 14 Mapping Genomic Features of Tiling Microarray Data by TileMapper
Attention for Chapter 3: Transcript Profiling in Arabidopsis with Genome Tiling Microarrays
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Chapter title
Transcript Profiling in Arabidopsis with Genome Tiling Microarrays
Chapter number 3
Book title
Tiling Arrays
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-607-8_3
Pubmed ID
23975784
Book ISBNs
978-1-62703-606-1, 978-1-62703-607-8
Authors

Diana Coman, Wilhelm Gruissem, Lars Hennig, Coman, Diana, Gruissem, Wilhelm, Hennig, Lars

Abstract

Microarray technology is at present a standardized workflow for genome-wide expression analysis. Whole-genome tiling microarrays have emerged as an important platform for flexible and comprehensive expression profiling. In this chapter we describe a detailed standardized workflow for experiments assessing the transcriptome of Arabidopsis using tiling arrays and provide useful hints for critical steps from experimental design to data analysis. Although the protocol is optimized for AGRONOMICS1 arrays, it can readily be adapted to other tiling arrays. AGRONOMICS1 is the first platform that enables strand-specific expression analysis of the Arabidopsis genome with a single array. Moreover, it includes all perfect match probes from the original ATH1 array, allowing readily integration with the large existing ATH1 knowledge base. This workflow is designed for the analysis of raw data for any number of samples and it does not pose any particular hardware requirements.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Lecturer > Senior Lecturer 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Chemistry 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 August 2013.
All research outputs
#15,278,165
of 22,719,618 outputs
Outputs from Methods in molecular biology
#5,307
of 13,079 outputs
Outputs of similar age
#181,551
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#174
of 341 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.

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