RNA sequencing and bioinformatics pipeline to identify expressed LINE-1s

June 5, 2019 Leave a comment 2,558 Views

Long INterspersed Elements-1 (LINEs/L1s) are repetitive elements that can copy and randomly insert in the genome resulting in genomic instability and mutagenesis. Understanding the expression patterns of L1 loci at the individual level will lend...

RNA-Seq dispels link between viral infection and brain tumors

July 18, 2016 Leave a comment 3,306 Views

Next generation sequencing (NGS) can globally interrogate the genetic composition of biological samples in an unbiased yet sensitive manner. Researchers from Tulane University utilized the capabilities of NGS to investigate the reported association between glioblastoma multiforme (GBM) and human cytomegalovirus ...

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Tag Archives: Tulane University

RNA sequencing and bioinformatics pipeline to identify expressed LINE-1s

RNA-Seq dispels link between viral infection and brain tumors

scGNN – a novel graph neural network framework for single-cell RNA-Seq analyses

Model-based deep embedding for constrained clustering analysis of single cell RNA-seq data

Novel guidelines help select optimal deconvolution method

An RNA-Seq framework for profiling target selectivity and physiological effects of antisense peptide nucleic acids (PNAs)

Single cell sequencing unravels molecular identity of rare renal cell types

SMIXnorm – fast and accurate RNA-Seq data normalization for FFPE Samples

TEA-seq – simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility