<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Modeling and Analysis of ChIP-Chip Experiments

Name: Modeling and Analysis of ChIP-Chip Experiments
Creator: Raphael Gottardo
Keywords: 0301 basic medicine, 03 medical and health sciences, Chromatin Immunoprecipitation, Research Design, 0206 medical engineering, Animals, Humans, 02 engineering and technology, Models, Biological, Algorithms

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2009Publisher:Humana Press

Authors: Raphael Gottardo;

doi: 10.1007/978-1-60327-414-2_9

pmid: 19588090

Modeling and Analysis of ChIP-Chip Experiments

- Summary
- Subjects
- Metrics

Abstract

Chromatin immunoprecipitation on microarrays, also known as ChIP-chip, is a popular technique for genome-wide localization of DNA-binding proteins. However, the high density (several million genomic sequences for small eukaryote genomes) and the high noise-to-signal ratio of microarrays make the analysis of ChIP-chip data very challenging. In this chapter, we review some of the issues involved in the analysis of ChIP-chip data and present a few statistical methods that can be used to overcome these issues and improve the detection of DNA-protein binding sites.

Related Organizations

University of British Columbia
Canada

Keywords

Chromatin Immunoprecipitation, Research Design, Animals, Humans, Models, Biological, Algorithms, Software, Oligonucleotide Array Sequence Analysis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average