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Fluorescence cell analyzer designed for cell counting and viability detection. It can analyze up to 6 samples per run and supports both bright-field and fluorescence counting modes.
Chinese biotechnology company based in Beijing that designs and manufactures single cell sequencing technology used in scientific research. Company specializing in high-throughput single-cell multi-omics technology, providing tools, kits, and platforms for single-cell DNA methylation, RNA sequencing, and immune repertoire profiling. Founded in 2018, it offers the SeekOne™ Digital Droplet System.
Automated instrument for single cell partitioning, capture, and labeling based on principle of microfluidics. In addition to general sample types, the DD system is particularly suitable for highly fragile cells, such as brain tissue, retinal tissue, and all tissues from aged individuals.
Software package that allows users to use the Intel MKL library for Julia's underlying BLAS and LAPACK, instead of OpenBLAS, which Julia ships with by default. Julia interface to Intel Math Kernel Library for accelerated linear algebra.
Luminex 200 Instrument System is a high-throughput, flow cytometry-based, multiplexing analyzer designed for labs to simultaneously detect and quantify up to 100 different proteins or nucleic acids (analytes) from a single, small-volume biological sample. It is primarily used for research (RUO), including biomarker studies, drug discovery, and immunology.
Software essential for running the FLEXMAP 3D w/xPONENT 4.3 platform. Used to control instrument operations, manage data acquisition, and perform analysis for high-throughput multiplex assays. It enables automated maintenance, 96/384-well plate compatibility, and, in many cases, diagnostic, IVD, or research-use-only testing. Intended to measure and sort multiple signals generated in an in vitro diagnostic assay from a clinical sample.
Software tool that predicts cancer metabolic fluxes from bulk RNA-seq and scRNA-seq data to address these analytic gaps. Used for characterizing metabolic circuits and output non-degenerative fluxes using cancer gene expression data.
Core facility specializes in the analysis of key metabolites for metabolic diseases. Develops and performs targeted methods for quantifying water-soluble and lipid metabolites.
Joint facility of the Charité - Universitätsmedizin Berlin and the Humboldt Universität zu Berlin. Research dedicated neuroimaging facility with two state of the art Siemens 128-channel 3 Tesla MRI systems equipped for cognitive, neurological and psychiatric experiments.
Core provides expertise, training and instrumentation for a range of advanced light microscopy techniques across scales and for a variety of samples. We offer wide-field, confocal, high-content, light sheet and multi-photon imaging systems for cell and tissue studies.
French public engineering school and research university founded in 1972, located in Compiègne. It combines the structure of a university with a Grande École, offering specialized, interdisciplinary programs in engineering, technology, and biotechnology, often blending French and North American educational styles.
Specialized research and technical core at the Université de Technologie de Compiègne (UTC), specifically within the BMBI (Bio-Mechanics and Bio-Engineering) CNRS lab, dedicated to the engineering of biological systems. Designed to support training, research, and development activities in the healthcare field, acting as a bridge between engineering and biology. Integrates complementary technological facilities dedicated to the engineering, production, culture, and characterization of biological systems, ranging from simple models to complex structures. It brings together expertise covering the entire experimental workflow, from the design and fabrication of technological devices and biological supports to their cultivation, monitoring, and functional analysis.
Software R package providing functions to assist cellular neighborhood analysis of any spatial transcriptomics data with single-cell resolution. Spatial cellular neighbourhood scanning in R.
Software Julia package for data clustering. Clustering algorithms for the Julia programming language including k-means, hierarchical clustering, DBSCAN, and affinity propagation.
Software library within Julia ML ecosystem (JuliaML) designed for managing machine learning pipelines. Utilities for machine learning in Julia including data splitting, shuffling, batching, and preprocessing operations.
Open-source machine-learning software library and ecosystem written in Julia. Machine learning library for the Julia programming language providing tools for building neural networks including layers, optimizers, and automatic differentiation.
Web optimization tool for codon adaptation-based control of protein expression in C. elegans.
Core provides services including processing and production of cell therapy products for clinical use, expertise in translation of cellular therapies to the clinic, and instrumentation supporting the development of novel immunotherapy strategies and insights on mechanisms of action for effective therapies.
Web interactive set of tools for sampling and randomization of data sets and generation of random patterns. The tools include randomization and permutation of data (even stratified random sampling) and random assignments for studies, generation of random numbers following specific probability distributions, generation of random and quasi-random point distributions and sampling patterns, noise in one or two dimensions with adjustable spectral properties, random walks and Lévy flights. Own data tables can be provided for random sampling in a privacy-friendly way, as data processing takes place directly in the browser and no data is transferred to anywhere else. Random Number Lab also offers some educational material and worksheets and can be used for scientific and educational purposes.
Software R package for clustering and cluster validation. Fixed point clustering. Linear regression clustering. Clustering by merging Gaussian mixture components. Symmetric and asymmetric discriminant projections for visualisation of the separation of groupings. Cluster validation statistics for distance based clustering including corrected Rand index. Standardisation of cluster validation statistics by random clusterings and comparison between many clustering methods and numbers of clusters based on this. Cluster-wise cluster stability assessment