In this webinar, researchers from NuGEN describe a novel method for targeted depletion of unwanted transcripts in RNA-Seq libraries. The proprietary Insert Dependent Adaptor Cleavage (InDA-C) technology employs customized probes to target specific transcript species for exclusion in the final ...
Read More »Pseudotime Estimation – Deconfounding Single Cell Time Series
Repeated cross-sectional time series single cell data confound several sources of variation, with contributions from measurement noise, stochastic cell-to-cell variation and cell progression at different rates. Time series from single cell assays are particularly susceptible to confounding as the measurements ...
Read More »Experimental Design Considerations for Microbial RNA-seq
RNA-seq is being used increasingly for gene expression studies and it is revolutionizing the fields of genomics and transcriptomics. However, the field of RNA-seq analysis is still evolving. Now, researchers at the University of Tennessee, Knoxville specifically designed a study ...
Read More »Parametric analysis of RNA-seq expression data
Various methods had been introduced for normalization and comparison of RNA-seq count data. However, they lacked objectivity because they based on ad hoc assumptions that were never verified their appropriateness. Here, researchers from Akita Prefectural University introduced a method that assumes ...
Read More »Upcoming Webinar – Get Rid of the Noise:Targeted Depletion Approach for RNA-Seq
Broadcast Date: Wednesday, June 8, 2016 Time: 11:00 am ET, 8:00 am PT REGISTRATION IS FREE The cost effectiveness of RNA-Seq is often compromised by uninformative reads that are present in high abundance—a frequent consequence of standard RNA-Seq library preparation ...
Read More »>80% of stochastic allele-specific expression due to single-cell RNA-seq technical noise
Single-cell RNA-sequencing (scRNA-seq) facilitates identification of new cell types and gene regulatory networks as well as dissection of the kinetics of gene expression and patterns of allele-specific expression. However, to facilitate such analyses, separating biological variability from the high level ...
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