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SCell – integrated analysis of single-cell RNA-seq data

SCell – integrated analysis of single-cell RNA-seq data

Analysis of the composition of heterogeneous tissue has been greatly enabled by recent developments in single-cell transcriptomics. Researchers from UCSF have developed SCell, an integrated software tool for quality filtering, normalization, feature selection, iterative dimensionality reduction, clustering and the estimation ...

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Improved definition of the mouse transcriptome via targeted RNA sequencing

Improved definition of the mouse transcriptome via targeted RNA sequencing

Targeted RNA sequencing (CaptureSeq) uses oligonucleotide probes to capture RNAs for sequencing, providing enriched read coverage, accurate measurement of gene expression, and quantitative expression data. Researchers from the European Bioinformatics Institute applied CaptureSeq to refine transcript annotations in the current ...

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Artemis – Rapid and Reproducible RNAseq Analysis for End Users

Artemis – Rapid and Reproducible RNAseq Analysis for End Users

The recently introduced Kallisto pseudoaligner has radically simplified the quantification of transcripts in RNA-sequencing experiments. However, as with all computational advances, reproducibility across experiments requires attention to detail. The elegant approach of Kallisto reduces dependencies, but researchers at the Keck ...

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