Reduction of Gene Expression Variability from Single Cells to Populations follows Simple Statistical Laws

January 6, 2015 Leave a comment 4,117 Views

Recent studies on single cells and population transcriptomics have revealed striking differences in global gene expression distributions. Single cells display highly variable expressions between cells, while cell populations present deterministic global patterns. The mechanisms governing the reduction of transcriptome-wide variability ...

subSeq – Determining appropriate sequencing depth through efficient read subsampling

September 10, 2014 Comments Off on subSeq – Determining appropriate sequencing depth through efficient read subsampling 6,124 Views

Next-generation sequencing experiments, such as RNA-Seq, play an increasingly important role in biological research. One complication is that the power and accuracy of such experiments depends substantially on the number of reads sequenced, so it is important and challenging to ...

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Tag Archives: subSeq

Reduction of Gene Expression Variability from Single Cells to Populations follows Simple Statistical Laws

subSeq – Determining appropriate sequencing depth through efficient read subsampling

A new blood-based RNA sequencing method to detect coronary artery disease

Crafting a blueprint for single-cell RNA sequencing

UICPC – Centrality-based clustering for scRNA-seq data analysis without user input

Single nucleus RNA sequencing identifies inflamed brain cells likely involved in MS nerve degeneration

Exogene – A performant workflow for detecting viral integrations from paired-end next-generation sequencing data

RNALocate v2.0 – an updated resource for RNA subcellular localization with increased coverage and annotation

A precision oncology framework to predict patient response to cancer therapy from the tumor transcriptome