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https://www.selleckchem.com/products/gdc-0068.html https//github.com/UCL/cath-funsite-predictor. c.orengo@ucl.ac.uk. Supplementary data are available at Bioinformatics online. Supplementary data are available at Bioinformatics online. Single-cell proteomics technologies, such as mass cytometry, have enabled characterization of cell-to-cell variation and cell populations at a single cell resolution. These large amounts of data, require dedicated, interactive tools for translating the data into knowledge. We present a comprehensive, interactive method called Cyto to streamline analysis of large-scale cytometry data. Cyto is a workflow-based open-source solution that automates the use of state-of-the-art single-cell analysis methods with interactive visualization. We show the utility of Cyto by applying it to mass cytometry data from peripheral blood and high-grade serous ovarian cancer (HGSOC) samples. Our results show that Cyto is able to reliably capture the immune cell sub-populations from peripheral blood as well as cellular compositions of unique immune- and cancer cell subpopulations in HGSOC tumor and ascites samples. The method is available as a Docker container at https//hub.docker.com/r/anduril/cyto and the user guide and source code are available at https//bitbucket.org/anduril-dev/cyto. sampsa.hautaniemi@helsinki.fi. Supplementary material is available and FCS files are hosted at https//flowrepository.org/id/FR-FCM-Z2LW. Supplementary material is available and FCS files are hosted at https//flowrepository.org/id/FR-FCM-Z2LW. Expression quantitative trait loci (eQTL) harbor genetic variants modulating gene transcription. Fine mapping of regulatory variants at these loci is a daunting task due to the juxtaposition of causal and linked variants at a locus as well as the likelihood of interactions among multiple variants. This problem is exacerbated in genes with multiple cis-acting eQTL, where superimposed effects of adjacent loci further distort the associat

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