The IGC Shiny App Server

UPLC N-IgG glycans

Supplementary materials for "Glycosylation of immunoglobulin G is regulated by a large network of genes pleiotropic with inflammatory diseases". DOI: 10.1126/sciadv.aax0301

View on Edinburgh Research Explorer.

Calculate Your Scores

This app allows for the secure upload of blood methylation data and quickly calculates estimates or scores for a variety of human traits. These traits include age, body mass index and smoking behaviour.

Example input and output files are available at: https://doi.org/10.5281/zenodo.7086723.

Instructions for use and background information are available at: https://www.ed.ac.uk/centre-genomic-medicine/research-groups/marioni-group/methyldetectr.

MethylDetectR

Users can upload methylation-derived estimates or scores for human traits. Users can select individuals to view how their scores compare against other individuals in their dataset. Users can also upload optional case/control data for binary traits of interest and see how methylation-based scores for traits vary across case and control groups.

Example input and output files are available at https://doi.org/10.5281/zenodo.7086723.

Instructions for use and background information are available at: https://www.ed.ac.uk/centre-genomic-medicine/research-groups/marioni-group/methyldetectr.

MethylDetectR Demo

This application does not require the upload of data. It has in-built data for over 9,000 individuals who are members of the Generation Scotland study (https://www.ed.ac.uk/generation-scotland). Users can use this demo version to see how scores vary according to cases vs. controls for a number of binary traits as well as by different age ranges and sex.

Single-Cell Transcriptomics Uncovers Zonation of Function in the Mesenchyme during Liver Fibrosis

This app provides an open-access gene browser that allows assessment of mesenchymal cell gene expression between uninjured and fibrotic (6 weeks CCL4) mouse liver.

Dobie et al. Cell Reports (2019). DOI - 10.1016/j.celrep.2019.10.024

Resolving the fibrotic niche of human liver cirrhosis at single-cell level

This app provides an open-access gene browser that allows assessment of non-parenchymal cell gene expression between healthy and cirrhotic human livers.

Ramachandran et al. Nature (2019). DOI - 10.1038/s41586-019-1631-3

SteatoSITE Gene Explorer

This app allows users to visualise the RNA-seq data in SteatoSITE, a retrospective multicentre national cohort of 940 patients across the complete non-alcoholic fatty liver disease spectrum. SteatoSITE integrates quantitative digital pathology, hepatic bulk RNA-seq and 5.67 million days of longitudinal electronic health record follow-up into a secure, searchable platform to accelerate new biomedical discoveries in NAFLD.

Further information and to request access to the full SteatoSITE resource, please visit https://steatosite.com/.

Stator: From higher-order gene interactions to cell states

Stator takes in scRNA-seq count matrix, estimates higher-order gene interactions and defines cell states. This app allows users to perform downstream analyses for cell states.

Further information and request access to Stator Nextflow pipeline, please contact: ava.khamseh@ed.ac.uk