Reverse Engineering and Analysis of Genome-Wide Gene Regulatory Networks from Gene Expression Profiles Using High-Performance Computing
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The availability of many high-quality genome-wide expression datasets has provided an exciting and unique opportunity to better understand the molecular etiology of Huntington's disease. Combining this knowledge with other aspects of huntingtin biology and ...
In the age of whole-genome population genetics, so-called genomic scan studies often conclude with a long list of putatively selected loci. These lists are then further scrutinized to annotate these regions by gene function, corresponding biological proces ...
MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional regulation of gene expression. The first miRNA was discovered less than 20 years ago in the context of studying Caenorabditis elegans development. The discovery of the second miR ...
Motivation: Over the last decade, numerous methods have been developed for inference of regulatory networks from gene expression data. However, accurate and systematic evaluation of these methods is hampered by the difficulty of constructing adequate bench ...
Numerous methods have been developed for inference of gene regulatory networks from expression data, however, their strengths and weaknesses remain poorly understood. Accurate and systematic evaluation of these methods is hampered by the difficulty of cons ...
Identification of genes underlying human diseases is an important step in understanding and treating genetic disorders. Based on the assumption that related diseases are caused by related genes, several methods for candidate gene prioritization have been p ...
High levels of HIV-1 replication during the chronic phase of infection usually correlate with rapid progression to severe immunodeficiency. However, a minority of highly viremic individuals remains asymptomatic and maintains high CD4+ T cell counts. This t ...
GermOnline 4.0 is a cross-species database portal focusing on high-throughput expression data relevant for germline development, the meiotic cell cycle and mitosis in healthy versus malignant cells. It is thus a source of information for life scientists as ...
MicroRNAs (miRNAs) and transcription factors control eukaryotic cell proliferation, differentiation, and metabolism through their specific gene regulatory networks. However, differently from transcription factors, our understanding of the processes regulat ...