iDEG – identification of differentially expressed genes without replicates

April 22, 2020 Leave a comment 3,012 Views

Calculating Differentially Expressed Genes (DEGs) from RNA-sequencing requires replicates to estimate gene-wise variability, a requirement that is at times financially or physiologically infeasible in clinics. By imposing restrictive transcriptome-wide assumptions limiting inferential opportunities of conventional methods (edgeR, NOISeq-sim, DESeq, DEGseq), ...

OncoRep – an n-of-1 reporting tool to support genome-guided treatment for breast cancer patients using RNA-sequencing

May 22, 2015 Leave a comment 3,043 Views

Breast cancer comprises multiple tumor entities associated with different biological features and clinical behaviors, making individualized medicine a powerful tool to bring the right drug to the right patient. Next generation sequencing of RNA (RNA-Seq) is a suitable method to ...

The statistical universe is a single patient – pathway analysis from “N-of-1” RNA-Seq data

October 13, 2014 Comments Off on The statistical universe is a single patient – pathway analysis from “N-of-1” RNA-Seq data 5,223 Views

The emergence of precision medicine allowed the incorporation of individual molecular data into patient care. Indeed, DNA sequencing predicts somatic mutations in individual patients. However, these genetic features overlook dynamic epigenetic and phenotypic response to therapy. Meanwhile, accurate personal transcriptome ...

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Tag Archives: N-of-1

iDEG – identification of differentially expressed genes without replicates

OncoRep – an n-of-1 reporting tool to support genome-guided treatment for breast cancer patients using RNA-sequencing

The statistical universe is a single patient – pathway analysis from “N-of-1” RNA-Seq data

Single-cell RNA and protein expression in relation to cell cycle progression

Evaluating capture sequence performance for single-cell CRISPR activation experiments

Seven Bridges Selected by Pfizer to Support Data Management Solution for Single-Cell RNA Sequencing Data

Single-cell mapper (scMappR) – using scRNA-seq to infer the cell-type specificities of differentially expressed genes

Featured RNA-Seq Job – Staff Bioinformatics Scientist, RNA-Seq

Introduction to NGS – RNA-Seq Data Analysis – DNA Variant Calling

Yale neurologists use RNA sequencing to identify consistent neuroinflammatory response in ICH patients