Tag Archives: expression analysis

MicroRNAs (miRNAs) are small non-coding RNA molecules that play a key role in gene expression regulation. They have critical functions in various biological processes and their involvement in disease biology is well documented. Several measurement platforms have been developed to ...

High-throughput sequencing techniques have made it possible to assay an organism’s entire repertoire of small non-coding RNAs (ncRNAs) in an efficient and cost-effective manner. The moderate size of small RNA-seq datasets makes it feasible to provide free web services to ...

Gene co-expression analysis has previously been based on measures that include correlation coefficients and mutual information, as well as newcomers such as MIC. These measures depend primarily on the degree of association between the RNA levels of two genes and ...

In Nathaniel Heintz’s molecular biology lab at Rockefeller University, scientists study brain function and dysfunction under a wide array of conditions, from drug abuse to depression. Marian Mellén, a postdoctoral fellow in the lab, is using RNA-seq and other data ...

Two recipients to receive cutting-edge services from EA and Illumina to advance new applications in oncology research RESEARCH TRIANGLE PARK, NC – August 19, 2014 – Expression Analysis (EA), a Quintiles company, today announced that it is co-sponsoring a grant ...

Animal venoms attract enormous interest given their potential for pharmacological discovery and understanding the evolution of natural chemistries. Next-generation transcriptomics and proteomics provide unparalleled, but underexploited, capabilities for venom characterization. A team led by researcher at the University of Massachusetts ...

RNA-seq techniques generate massive amounts of expression data. Several pipelines (e.g. Tophat and Cufflinks) are broadly applied to analyse these data sets. However, accessing and handling the analytical output remains challenging for non-experts. Researchers at the Helmholtz Center Munich now ...

The main goal of the whole transcriptome analysis is to correctly identify all expressed transcripts within a specific cell/tissue – at a particular stage and condition – to determine their structures and to measure their abundances. RNA-seq data promise to ...

Expression Analysis – mRNA-Seq is a cDNA sequencing application that generates a more comprehensive, quantitative view of the mRNA portion of the transcriptome. With no probes or primer design needed, RNA-Seq has the potential to provide relatively unbiased sequence information ...