Quality control

…Participants work through quality control and read mapping, learning standard file formats, quality-score encoding and common analysis tools. It is designed for life scientists and computer scientists preparing to analyse NGS data. Familiarity with Galaxy or prior introductory Galaxy training is recommended, and participants need a Galaxy Australia account, their own computer and a reliable internet connection. The online course runs on 4 and 5 November, 13:00–17:00 AEST

…of untargeted mass-spectrometry data, quality control, missing values and compound annotation. The final module compares univariate tests, multiple-testing correction, principal-component methods, partial least squares and random forests for metabolomic matrices. Sessions: 16,

…files to expression matrices, quality control, normalisation, batch correction, dimensionality reduction, clustering, annotation and differential expression. Later sessions cover trajectory and pseudotime inference, RNA velocity, single-cell multi-omics integration and functional analysis. Participants finish with an independent dataset analysis and presentation. Bash and R/Bioconductor support reproducible workflows and interpre

…sequencing technologies affect data quality and interpretation, then develops the Linux and file-format skills needed for practical analysis. Exercises cover quality control, adapter removal, read mapping, alignment statistics, genome-browser visualization, DNA variant calling, VCF filtering and interpretation. Participants compare analytical tools and learn to recognize errors that can affect biological conclusions. The online sessions run 09:00–17:00 CET (UTC+1) on 23–25 November 2026. The

…technologies, manufacturing tools, quality control, diagnostics, testing, simulation and digital tools. Projects must request £70,000 to £500,000, last 6 to 18 months, start no earlier than 1 May 2027 and finish by 31 March 2031. The competition closes on 2 December 2026 at 11:00am UK ti

…labs cover cell segmentation, quality control, interactive exploration and integration with single-cell datasets. Downstream analyses characterize cellular niches, neighbourhoods and cell–cell communication. The course concludes with project design and a team hackathon using participant or public data, connecting computational outputs to biological interpretation. 2026-12-14–2026-12-18, 14:00–18:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €530. Designe

…Hands-on analysis covers loading, quality control, segmentation, integration, cell typing and identification of cellular neighborhoods and niches. Intended for biomedical and life-science graduates or postgraduates with some R experience; demonstrations use R and Python code is also supplied. Familiarity with RNA sequencing is helpful. Sessions on 1

…covers curation, identifier mapping, quality control, visualisation and data- or knowledge-driven integration using Cytoscape, MOFA, COSMOS and OmniPath. Small-group projects apply the tools to a defined biological question and culminate in presentations. The course does not cover systems-biology modelling or machine learning. Basic Unix, Python and R familiarity is needed for some practicals. Teaching runs over five days in GMT, beginning with introductions

…tools, moving from raw reads through quality control, normalisation, integration and clustering to interpretation. The course covers experimental design, differential expression and abundance, Single Cell Expression Atlas and standards for repository submission. Lectures, computational exercises and a mentored group challenge use virtual machines, Zoom and Slack. Basic Unix/Linux and Python skills are required. Participants should be available 09:00–17:30 UK time each day. There are 35 selected places, at £250 for aca

…for data retrieval, validation, quality control, statistical modeling and reporting that, in some cases, may require weeks of effort.