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BMCBI
2010
109views more  BMCBI 2010»
15 years 6 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
BMCBI
2008
108views more  BMCBI 2008»
15 years 6 months ago
Supervised Lowess normalization of comparative genome hybridization data - application to lactococcal strain comparisons
Background: Array-based comparative genome hybridization (aCGH) is commonly used to determine the genomic content of bacterial strains. Since prokaryotes in general have less cons...
Sacha A. F. T. van Hijum, Richard J. S. Baerends, ...
BMCBI
2006
149views more  BMCBI 2006»
15 years 6 months ago
Curation of viral genomes: challenges, applications and the way forward
Background: Whole genome sequence data is a step towards generating the 'parts list' of life to understand the underlying principles of Biocomplexity. Genome sequencing ...
Urmila Kulkarni-Kale, Shriram Bhosle, G. Sunitha M...
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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BMCBI
2006
124views more  BMCBI 2006»
15 years 6 months ago
The development and validation of the Virtual Tissue Matrix, a software application that facilitates the review of tissue microa
Background: The Tissue Microarray (TMA) facilitates high-throughput analysis of hundreds of tissue specimens simultaneously. However, bottlenecks in the storage and manipulation o...
Catherine M. Conway, Deirdre O'Shea, Sallyann O'Br...