Tag Archives: UMASS Medical School

We are pursuing a modeling, data centric, approach that integrates human single cell RNA-Seq data together with in-vitro cellular models. In this unique set-up, hypothesis arising from patient samples will be tested on in-vitro models, thus providing a unique...

RNA-seq protocols that focus on transcript termini are well-suited for applications in which template quantity is limiting. Here researchers from UMass Medical School show that, when applied to end-sequencing data, analytical methods designed for global RNA-seq produce computational artifacts. To ...

PIWI-interacting RNAs (piRNAs), 23-36 nt small silencing RNAs, repress transposon expression in the metazoan germ line, thereby protecting the genome. Although high-throughput sequencing has made it possible to examine the genome and transcriptome at unprecedented resolution, extracting useful information from ...