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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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SinQC – Quality Control of Single-cell RNA-Seq

SinQC – Quality Control of Single-cell RNA-Seq

Single-cell RNA-seq (scRNA-seq) is emerging as a promising technology for profiling cell-to-cell variability in cell populations. However, the combination of technical noise and intrinsic biological variability makes detecting technical artifacts in scRNA-seq samples particularly challenging. Proper detection of technical artifacts ...

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kallisto – Near-optimal probabilistic RNA-seq quantification

kallisto – Near-optimal probabilistic RNA-seq quantification

Researchers from the University of California, Berkeley  and the University of Iceland have developed kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing ...

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