We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software scalable pipeline for overlap detection based on large-scale sequencing data. It is based on three steps: feature extraction, dimenality reduction, and approximate k-nearest neighbor search. Used for effective long-read overlap detection based on dimensionality reduction and approximate nearest neighbors.
Software application for denoising from single noisy images.
Software application as data acquistion system for patch-clamp recordings, based in CED1401 hardware, and IgorPro.
Software general visualization tool for 3D volumetric data and proof-reading in segmentation or reconstruction.
Software R package for aligned rank transform for nonparametric factorial ANOVAs.
Software Python package for manipulation and analysis of geometric objects in the Cartesian plane.
Software interactive platform for analysis and visualization of drug combinations. Used for analyzing drug combination effects (e.g., synergy, additivity, or antagonism). Offers advanced data visualization, including 2D/3D heatmaps and dose-response curves, and processes high-throughput data from Excel/CSV files. Users can customize models or extend functionality via Python scripting.
Software Python package and addon that takes NEURON simulator model and exports its 3D structure and membrane activity to Blender. Used to integrate NEURON simulator with Blender, allowing 3D visualization, animation, and modeling of NEURON models in Blender.
Software R package for disease ontology semantic and enrichment analysis.
Software application to identify spanning hypervariable region(s) from amplicon sequencing variants or SRA public runs (SRR). Aligns query sequences to reference E. coli full-length 16S rRNA gene and identifies spanning region through alignment. Used for identifying hypervariable regions in 16S rRNA big datasets.
Core provides research services in custom monoclonal antibody development (mAb) and bulk production of monoclonal antibodies from established hybridomas (somatic cell hybrids). Core has developed monoclonal antibodies against a wide variety of lymphocyte surface antigens, tumor cell antigens, purified proteins, hormones, hormone receptors and recombinant proteins and peptides.
Software tool for visualization of geometric organization of clusters. Mapper-inspired tool to visualize global layout of clusters.
Confocal microscope incorporates unique and powerful functions in reliable, high performance system, ideally suited to the research and analytical lab. SWIFT™ Fast Raman images are the fastest fully confocal Raman images available, typically 10x faster than conventional Raman imaging. Has enhanced range of options such as multiple laser wavelengths, EMCCD detection, Raman polarisation and AFM Raman TERS combination.
Compact Benchtop Scanning Electron Microscope. Intuitive operation is achieved via touch panel and new operation screens. The high or low vacuum mode is included in the standard configuration, and EDS can be installed, offering truly multi-functional benchtop SEM.
Target-to-Clinic Contract Research Organization (CRO) headquartered in San Diego, CA USA. ChemDiv executes pre-clinical discovery chemistry and biology for drug development and clinical trials for international portfolio of companies across the entire range of targets with small molecule and biotech drugs. The company operates multiple research and development (R&D) subsidiaries in Russia, Ukraine and China as well as business operations around the world.
Software Python toolbox for functional ROI analysis of fMRI data. Provides analytic methods for fMRI data analyses that accommodate inter-subject variability in precise locations of functional activations. Supports several types of analyses, such as parcel generation, fROI definition, effect estimation, spatial correlation estimation, and spatial overlap estimation. The toolbox is compliant with the Brain Imaging Data Structure (BIDS), standardized framework for organizing and sharing neuroimaging data.
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Web-based database and search tool for exploratory data analysis in which we have pre-computed statistical associations between available data elements. Large-scale, open-access data sets such as the Genotype Tissue Expression Project (GTEx) and The Cancer Genome Atlas (TCGA) include multi-omic data on large numbers of samples along with extensive clinical and phenotypic information. Allows users to explore significant associations using tabulated summary statistics, data visualizations, and functional enrichment analyses (using RNA-seq data) for identified sets of genes.
Web service providing annotations for brain cell type–specific marker gene sets derived from single-cell RNA-seq data spanning the entire mouse brain. It uses a multi-agent AI framework that combines fine-tuned large language models with retrieval-augmented generation, producing biologically grounded annotations supported by peer-reviewed literature.
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