Single cell RNA-seq measures the transcriptomes of many cell types across diverse conditions. However, an emerging challenge is to uncover how different cell types communicate with each other to maintain tissue homeostasis, and how inter-cellular communications are perturbed in diseases. To address this problem, we developed talklr, an information theory-based approach to uncover potential ligand-receptor interactions involved in tissue homeostasis and diseases. Compared to existing approaches that analyze changes in each gene in each cell type separately, talklr uses a holistic approach to simultaneously consider expression changes in both ligands and receptors across multiple cell types and conditions. talklr outperformed existing approaches in identifying ligand-receptor interactions, including those known to be important for tissue-specific functions and diseases across diverse datasets. talklr can reveal important signaling events in many biological problems in an unbiased way, and will be a valuable tool in single cell RNA-seq analysis. talklr is available as both an interactive website and an R package.
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- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!