The human brain has about 100 billion neurons, linked in intricate ways, that the Spanish neuroanatomist Ramón y Cajal compared to “the impenetrable jungles where many investigators have lost themselves.” During the last two decades...
Read More »RNA-Seq Data Analysis Workshop in Leipzig, Germany (21 – 24 September 2020)
RNA-Seq Data Analysis Workshop Quality Control, Read Mapping, Visualization and Downstream Analyses Advance your research. Understand RNA-Seq analyses challenges and solve them yourself. In a nutshell Learn the essential computing skills for NGS bioinformatics Understand NGS analysis algorithms (e.g. read alignment) and ...
Read More »Mapping cell types by single cell sequencing in a Parkinson’s disease cell therapy model
Many severe symptoms in Parkinson’s disease are caused by the degeneration of the brain’s dopamine neurons. Transplantation of stem cell-derived dopamine neurons to patients with Parkinson’s disease is a therapeutic approach that is getting close to...
Read More »Impact of single cell RNA sequencing on kidney organoids research
Methods to differentiate human pluripotent stem cells into kidney organoids were first introduced about 5 years ago, and since that time, the field...
Read More »4th Berlin Summer School in NGS Data Analysis
When: June 15-19,2020 Where: Berlin, Germany Learn the essential computing skills for NGS bioinformatics Understand NGS analysis algorithms (e.g. read alignment) and data formats Use bioinformatics tools for handling NGS data Perform first downstream analyses for studying genetic variation Compare different approaches for differential expression ...
Read More »RNAsamba: long-noncoding RNA identification using a neural network classification model
The advent of high-throughput sequencing technologies made it possible to obtain large volumes of genetic information, quickly and inexpensively. Thus, many efforts are devoted to unveiling the biological roles of genomic elements, being the distinction between protein-coding and long non-coding ...
Read More »ShinyOmics – collaborative exploration of omics-data
Omics-profiling is a collection of increasingly prominent approaches that result in large-scale biological datasets, for instance capturing an organism’s behavior and response in an...
Read More »Massively multiplex chemical transcriptomics at single-cell resolution
The sci-Plex technique holds promise for cell biology research in cancer, infectious diseases, autoimmune disorders, prenatal medicine and many other medical and basic science areas. Results from proof-of-concept testing are reported today in Science...
Read More »Spatially resolved transcriptomics reveals plant host responses to pathogens
Thorough understanding of complex model systems requires the characterisation of processes in different cell types of an organism. This can be achieved with high-throughput spatial transcriptomics at a large scale. However, for plant model systems...
Read More »RNA-Seq perspectives to improve clinical diagnosis
In recent years, high-throughput next-generation sequencing technology has allowed a rapid increase in diagnostic capacity and precision through different bioinformatics processing algorithms, tools, and...
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