Generating detailed and accurate organogenesis models using single cell RNA-seq data remains a major challenge. Current methods have relied primarily on the assumption that decedent cells are similar...
Read More »ChIP-Seq and RNA-Seq data integration for identification of important transcription factors
Data integration has become a useful strategy for uncovering new insights into complex biological networks. Researchers at the German Rheumatism Research Center studied whether this approach can help to delineate the signal transducer and activator of transcription 6 (STAT6)-mediated transcriptional ...
Read More »RNA-Seq reveals shortcomings of experimentation models
Microglia are resident myeloid cells in the CNS that are activated by infection, neuronal injury, and inflammation. Established BV2 microglial cell lines have been the primary in vitro models used to study neuroinflammation for more than a decade because they ...
Read More »DIANA-mirExTra v2.0 – Uncovering microRNAs and transcription factors with crucial roles in NGS expression data
Differential expression analysis (DEA) is one of the main instruments utilized for revealing molecular mechanisms in pathological and physiological conditions. DIANA-mirExTra v2.0 performs a combined DEA of mRNAs and microRNAs (miRNAs) to uncover miRNAs and transcription factors (TFs) playing important ...
Read More »cGRNB – combinatorial Gene Regulatory Networks Builder
We are witnessing rapid progress in the development of methodologies for building the combinatorial gene regulatory networks involving both TFs (Transcription Factors) and miRNAs (microRNAs). There are a few tools available to do these jobs but most of them are ...
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