Bayesian model to detect phenotype-specific genes for copy number data
نویسندگان
چکیده
منابع مشابه
Bayesian Disease Classification Using Copy Number Data
DNA copy number variations (CNVs) have been shown to be associated with cancer development and progression. The detection of these CNVs has the potential to impact the basic knowledge and treatment of many types of cancers, and can play a role in the discovery and development of molecular-based personalized cancer therapies. One of the most common types of high-resolution chromosomal microarray...
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Methylation, deletions, and amplifications of cancer genes constitute important mechanisms in carcinogenesis. For genome-wide analysis of these changes, we propose the use of NotI clone microarrays and genomic subtraction, because NotI recognition sites are closely associated with CpG islands and genes. We show here that the CODE (Cloning Of DEleted sequences) genomic subtraction procedure can ...
متن کاملMethods to detect and analyze copy number variations at the genome-wide and locus-specific levels.
Copy number variations (CNVs) have effects on phenotypes by altering transcription levels of genes and may have major impacts on protein sequence, structure and function. Therefore, CNV screening and analysis focused on the identification of CNV-genetic disease relations are actively progressing. CNVs can be detected and analyzed by various methodologies at the genome-wide and locus-specific le...
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Recent large-scale genomic studies within human populations have identified numerous genomic regions as copy number variant (CNV). As these CNV regions often overlap coding regions of the genome, large lists of potentially copy number polymorphic genes have been produced that are candidates for disease association. Most of the current data regarding normal genic variation, however, has been gen...
متن کاملBayesian Random Segmentation Models to Identify Shared Copy Number Aberrations for Array CGH Data.
Array-based comparative genomic hybridization (aCGH) is a high-resolution high-throughput technique for studying the genetic basis of cancer. The resulting data consists of log fluorescence ratios as a function of the genomic DNA location and provides a cytogenetic representation of the relative DNA copy number variation. Analysis of such data typically involves estimation of the underlying cop...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2012
ISSN: 1471-2105
DOI: 10.1186/1471-2105-13-130