Tag Archives: RNA-Seq

Background Small RNA sequencing (RNA‐seq) of biofluids is challenging due to the relative scarcity of microRNAs (miRNAs), limited sample volumes, and the lack of a gold standard isolation method. Additionally, few comparisons exist for the RNA isolation and sequencing methods ...

With the advent of Next-Generation Sequencing (NGS) technologies, numerous data is being generated every day, however, analysis remains a big hurdle to efficiently use the technology as this data requires complex multi-step processing and...

By studying the genomes of fruit flies, scientists from the Zaugg and Furlong groups at EMBL Heidelberg have identified a set of genomic features that can predict how much the expression of a gene varies between individuals in a species. Their...

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 ...

Single-cell RNA sequencing has been widely adopted to estimate the cellular composition of heterogeneous tissues and obtain transcriptional profiles of individual cells. Multiple approaches for...

Efficient rRNA removal from mammalian, bacterial, plant and yeast samples for RNA-seq and metatranscriptomics studiesThe more effective your rRNA removal strategy, the greater your ability to achieve usable reads in RNA-seq. Not only does rRNA...

Researchers from Stefan Kubicek's and Christoph Bock’s groups, at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, have developed a method to...

A major challenge for RNA-seq analysis of gene expression is to achieve sufficient coverage of informative non-ribosomal transcripts. In eukaryotic samples, this is typically achieved by selective oligo(dT)-priming of messenger RNAs to exclude ribosomal...

This webinar will cover the analysis pipeline for Eukaryotic mRNA-seq in detail, and give you an overview of the data release package. Additionally, a brief introduction of analysis content for various Eukaryotic ncRNA-seq and Prokaryotic RNA-seq will be...

Calculating Differentially Expressed Genes (DEGs) from RNA-sequencing requires replicates to estimate gene-wise variability, a requirement that is at times financially or physiologically infeasible in clinics. By imposing restrictive transcriptome-wide assumptions limiting inferential opportunities of conventional methods (edgeR, NOISeq-sim, DESeq, DEGseq), ...