The gene expression approach has provided promising insights into the pathophysiology of posttraumatic stress disorder (PTSD). However, few studies used hypothesis-free transcriptome-wide approach to comprehensively understand gene expression underpinning PTSD. Researchers at Stony Brook University conducted a transcriptome-wide expression study ...
Read More »Salmon – fast and bias-aware quantification of transcript expression
Rob Patro, an assistant professor in the Department of Computer Science in Stony Brook’s College of Engineering and Applied Sciences, leads a group of computational biological researchers that developed a new software tool, Salmon — a lightweight method to provide ...
Read More »A new computational method makes gene expression analyses from RNA-Seq data more accurate
Technique detects technical biases that otherwise confound test results A new computational method can improve the accuracy of gene expression analyses, which are increasingly used to diagnose and monitor cancers and are a major tool for basic biological research. Researchers ...
Read More »Quark – semi-reference-based compression of RNA-seq data
The past decade has seen an exponential increase in biological sequencing capacity, and there has been a simultaneous effort to help organize and archive some of the vast quantities of sequencing data that are being generated. While these developments are ...
Read More »RapMap – a rapid, sensitive and accurate tool for mapping RNA-seq reads to transcriptomes
The alignment of sequencing reads to a transcriptome is a common and important step in many RNA-seq analysis tasks. When aligning RNA-seq reads directly to a transcriptome (as is common in the de novo setting or when a trusted reference ...
Read More »Kpath ‐ statistical reference-based compression for short reads
Storing, transmitting, and archiving data produced by next generation sequencing is a significant computational burden. New compression techniques tailored to short-read sequence data are needed. Researchers from Carnegie Mellon University and Stony Brook University have devloped an approach to compression ...
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