Job Summary Performs basic research duties under the supervision/direction of a Physician (Principal Investigator). DUTIES AND RESPONSIBILITIES Research in bioinformatics interested in developing statistical methods and computational algorithms to interpret next-generation sequencing data. This candidate will combine epigenomics, transcriptome, and ...
Read More »ROTS – reproducible RNA-Seq biomarker detector
Recent comprehensive assessments of RNA-seq technology support its utility in quantifying gene expression in various samples. The next step of rigorously quantifying differences between sample groups, however, still lacks well-defined best practices. Although a number of advanced statistical methods have ...
Read More »The Level of Residual Dispersion Variation and the Power of Differential Expression Tests for RNA-Seq Data
RNA-Sequencing (RNA-Seq) has been widely adopted for quantifying gene expression changes in comparative transcriptome analysis. For detecting differentially expressed genes, a variety of statistical methods based on the negative binomial (NB) distribution have been proposed. These methods differ in the ...
Read More »scLVM – identification of hidden subpopulations of cells in RNA-Seq data
Highlights New method improves single-cell genomics analyses; Method clarifies the true differences and similarities between cells by modelling relatedness and removing confounding variables; Scientists can use known molecular pathways to better understand cancer cells, differentiation processes and the pathogenesis of ...
Read More »Next Gen Sequencing or Microarray: How to Make the Choice
from BitsizeBio by Kristin Harper You’re about to start that big project you’ve been dreaming of for years. You’ve identified a potential miracle compound and want to figure out how it affects gene expression. But how are you going to ...
Read More »SigFuge – single gene clustering of RNA-seq reveals differential isoform
High-throughput sequencing technologies, including RNA-seq, have made it possible to move beyond gene expression analysis to study transcriptional events including alternative splicing and gene fusions. Furthermore, recent studies in cancer have suggested the importance of identifying transcriptionally altered loci as ...
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