Tag Archives: single nucleotide variant

High throughput sequencing technology enables the both the human genome and transcriptome to be screened at the single nucleotide resolution. Tools have been developed to infer single nucleotide variants (SNVs) from both DNA and RNA sequencing data. To evaluate how ...

Despite its popularity, characterization of subpopulations with transcript abundance is subject to significant amount of noise. Researchers at the University of Hawaii Cancer Center propose to use effective and expressed nucleotide variations (eeSNVs) from scRNA-seq as alternative features for tumor subpopulation ...

The growing recognition of the importance of splicing in eukaryotes, together with rapidly accumulating RNA-sequencing data, demand robust high-throughput approaches, which efficiently analyze experimentally derived whole-transcriptome splice profiles. Researchers from The George Washington University have developed a computational approach, called ...