Tag Archives: network analysis

Since experimental elucidation of gene function is often laborious, various in silico methods have been developed to predict gene function of uncharacterized genes. Since functionally related genes are often expressed in the same tissues, conditions and developmental stages (co-expressed), functional ...

This is the first description of the relationship between chronic ethanol self-administration and the brain transcriptome in a non-human primate (rhesus macaque). Thirty-one male animals self-administered ethanol on a daily basis for over 12 months. Gene transcription was quantified with ...

Gene co-expression networks can be used to associate genes of unknown function with biological processes, to prioritize candidate disease genes or to discern transcriptional regulatory programmes. With recent advances in transcriptomics and next-generation sequencing, co-expression networks constructed from RNA sequencing ...

RNA-seq technology offers the promise of rapid comprehensive discovery of long intervening noncoding RNAs (lincRNAs). Basic tools such as Tophat and Cufflinks have been widely used for RNA-seq assembly. However, advanced bioinformatics methodologies that allow in-depth analysis of lincRNAs are ...

2015 Network Analysis Short Course – Systems Biology Analysis Methods for Genomic Data Speaker: Dan Iancu, Oregon Health & Science University Dan is a computational biologist working in the highly dynamic field of neuro-genomics. His research and expertise areas include ...

Glioblastoma can originate from terminally differentiated astrocytes and neurons, which can dedifferentiate to a stem cell-like state upon transformation. In this study, researchers at UCSD confirmed that transformed dedifferentiated astrocytes and neurons acquired a stem/progenitor cell state, although they still ...

RNA-seq co-expression analysis is in its infancy and reasonable practices remain poorly defined. Researchers at Cold Spring Harbor Laboratory assessed a variety of RNA-seq expression data to determine factors affecting functional connectivity and topology in co-expression networks. The researchers examined ...