Tag Archives: gene expression analysis

Nebion has recently launched their special COVID-19 support campaign. Academic researchers working from home are supported with online training and free access to the Professional Edition of GENEVESTIGATOR® for one month. GENEVESTIGATOR® enables analysis of deeply curated transcriptomic data from ...

RNA-Sequencing analysis methods are rapidly evolving, and the tool choice for each step of one common workflow, differential expression analysis, which includes read alignment, expression modeling...

RNA sequencing unlocks the mysteries hidden in the transcriptome. Whether your goal is gene expression analysis, gene fusion analysis, SNP analysis or miRNA expression analysis, achieving high-performance library preparation can prove essential to maximizing your discoveries. In this webinar, you ...

There is a strict interplay between metabolic networks and transcriptional regulation in bacteria; indeed, the transcriptome regulation, affecting the...

Gene regulatory networks govern the function of key cellular processes, such as control of the cell cycle, response to stress, DNA repair mechanisms, and more. Boolean networks have been used successfully in modeling gene regulatory networks. In the Boolean network ...

Position Lexogen GmbH is looking for an innovative Research Scientist to join their team who wants to play an active role in the development of new products for the transcriptomics market. This position is available immediately. Responsibilities Development of novel assays ...

RNA-Seq is a powerful transcriptomics tool for mammalian cell culture process development. Successful RNA-Seq data analysis requires a high quality reference for read mapping and gene expression quantification. Currently, there are two public genome references for Chinese hamster ovary (CHO) ...

Some genes controlled by the body’s circadian clock are more active in older fruit flies compared to younger ones. And oxidative stress can induce the expression of these genes in young flies, according to a study published today (February 21) ...

The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest among bioinformaticians, who now wish to bring the power of deep learning to bare on a host of bioinformatical problems. ...

RNA-Seq has supplanted microarrays as the preferred method of transcriptome-wide identification of differentially expressed genes. However, RNA-Seq analysis is still rapidly evolving, with a large number of tools available for each of the three major processing steps: read alignment, expression ...