Separating the signal from the noise in scRNA-Seq data (new paper!)

We’ve developed a smoothing algorithm that makes the analysis of high-throughput single-cell RNA-Seq a lot easier. The algorithm effectively removes technical noise while largely preserving biological heterogeneity. You can read the paper on bioRxiv and find reference implementations in Python/R/Matlab on github. In the YanaiLab, we love single-cell RNA-Seq data, and we’re proud of our…

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Computational biologists: moving to the driver’s seat

Computational biologists: moving to the driver’s seat Itai Yanai and Eva Chmielnicki Genome Biology201718:223 https://doi.org/10.1186/s13059-017-1357-1   Published: 23 November 2017 Abstract The recent shift of computational biologists from bioinformatics service providers to leaders of cutting-edge programs highlights the accompanying cultural and conceptual changes that should be implemented by funding bodies and academic institutions.

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scDual-Seq

scDual-Seq: mapping the gene regulatory program of Salmonella infection by host and pathogen single-cell RNA-sequencing. Genome Biol. 2017 Oct 27;18(1):200. doi: 10.1186/s13059-017-1340-x Avital G1,2, Avraham R3,4, Fan A3, Hashimshony T2, Hung DT3,5,6, Yanai I7. The interaction between a pathogen and a host is a highly dynamic process in which both agents activate complex programs. Here, we introduce a single-cell RNA-sequencing method,…

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