Carefully designed control experiments provide a gold standard for benchmarking new platforms, protocols and pipelines in genomics research. RNA profiling control studies frequently use the mixture design, which takes two distinct samples and combines them in known proportions to induce ...
Read More »Horizon Discovery Group plc Launches HDx™ RNA Fusion Reference Standards
Cambridge, UK, 22 March 2016: Horizon Discovery Group plc (LSE: HZD) (“Horizon” or “the Company”), the leading international gene editing company supplying tools and services that power genomics research and the development of personalized medicines today announces the launch of ...
Read More »Using mixtures of biological samples as process controls for RNA-sequencing experiments
Genome-scale “-omics” measurements are challenging to benchmark due to the enormous variety of unique biological molecules involved. Mixtures of previously-characterized samples can be used to benchmark repeatability and reproducibility using component proportions as truth for the measurement. Researchers at the ...
Read More »SIRVs – Spike-In RNA Variant Mixes Designed for Splice Variant Detection
RNA is complex, and its sequencing is even more complex. One of the biggest complications originates from the fact that RNA consists of numerous variations such as alternative splicing and isoforms which are introduced during the process of transcription and ...
Read More »Researchers discourage sample pooling in RNA-Seq experiments
Massively parallel cDNA sequencing (RNA-seq) experiments are gradually superseding microarrays in quantitative gene expression profiling. However, many biologists are uncertain about the validity of cost-saving sample pooling strategies for their RNA-seq experiments. Researchers from Aarhus University sequenced RNA-pools and compared their ...
Read More »Lexogen has developed Spike-In RNA Variants (SIRVs) for the quantification of mRNA isoforms and begun a test program
Transcript spike-in controls such as the ones devised by the External RNA Control Consortium (ERCC) have been successfully employed in RNA-Seq experiments to assess workflow and platform properties (Munroe et al., 2014). A limitation of these monocistronic, single-gene transcripts is ...
Read More »Using Mixtures of Biological Samples as Process Controls for RNA-sequencing experiments
Genome-scale ?-omics? measurements are challenging to benchmark due to the enormous variety of unique biological molecules involved. Mixtures of previously-characterized samples can be used to benchmark repeatability and reproducibility using component proportions as truth for the measurement. Scientists at the ...
Read More »Reliable RNA Analysis Now Easier with NIST ‘Dashboard’ Tool
A new, innovative “dashboard” from the National Institute of Standards and Technology (NIST) won’t help you drive your car, but it will help enable reproducible research in biology. Artist’s conception of an RNA polymerase (globular molecule) creating strands of RNA ...
Read More »QuaCRS – An Integrated RNA-Seq Quality Control Pipeline
QuaCRS (Quality Control for RNA-Seq) is an integrated, simplified quality control (QC) system for RNA-seq data that allows easy execution of several open-source QC tools, aggregation of their output, and the ability to quickly identify quality issues by performing meta-analyses ...
Read More »Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures
There is a critical need for standard approaches to assess, report and compare the technical performance of genome-scale differential gene expression experiments. Here, an international team led by researchers at the NIST assess technical performance with a proposed standard ‘dashboard’ ...
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