Eliminating platform-based bias

January 25, 2018 Leave a comment 4,899 Views

Molecular subtypes of cancers and autoimmune disease, defined by transcriptomic profiling, have provided insight into disease pathogenesis, molecular heterogeneity, and therapeutic responses. However, technical biases inherent to different gene...

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Eliminating platform-based bias

RPKM, FPKM and TPM, clearly explained

How to Analyze RNA-Seq Data?

Visualization of nucleotide substitutions in the (micro)transcriptome

Comparison of TMM (edgeR), RLE (DESeq2), and MRN Normalization Methods

An RNA-Seq QC Overview

Transcriptome diversity in human tissues mapped with emerging long-read RNA sequencing technology

Significance analysis for clustering with single-cell RNA-sequencing data

BacDrop – droplet-based single-cell RNA-seq reveals heterogeneity in bacterial populations and in response to antibiotic perturbation

Gruffi – an algorithm for improved delineation of developmental trajectories in organoids and resemblance to in vivo data.

Combi-seq – multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

Transcriptome diversity in human tissues mapped with emerging long-read RNA sequencing technology

Significance analysis for clustering with single-cell RNA-sequencing data

BacDrop – droplet-based single-cell RNA-seq reveals heterogeneity in bacterial populations and in response to antibiotic perturbation

Gruffi – an algorithm for improved delineation of developmental trajectories in organoids and resemblance to in vivo data.

Combi-seq – multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

An application of RNA sequencing toward mRNA based nanotherapeutics against SARS-CoV-2 infections

Novogene America Launches a New Single-Cell RNA-Seq Lab Powered by 10x Genomics®