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

January 6, 2015 Leave a comment 4,377 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 6,718 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

BoT-Net – a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction

Unearthing novel fusions as therapeutic targets in solid tumors using targeted RNA sequencing

Kassandra – precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomes

RNA Sequencing identifies potential targets for treating a common type of chronic, non-healing wound

Kyoto scientists use mathematics to extract clear signals from single-cell RNA sequencing data

SMaSH – a scalable, general marker gene identification framework for single-cell RNA-sequencing

PlaqView 2.0 – A comprehensive web portal for cardiovascular single-cell genomics