We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software tool for computational deconvolution of mouse and human reads in tumor xenograft sequence data.
Through the use of fertilised hen's eggs, the Egg Facility offers researchers methods for scientific research that can reduce or replace the use of mammalian models. It provides expertise in chorioallantoic membrane assays, specialising in cancer xenograft models, including patient-derived xenografts, to translate in vitro cancer studies and test therapeutic approaches.
Software repository to share the raw data processing and visualization codes used in the spatial tri-omics project.
Software tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
Core provides proteomics and small molecule mass spectrometry services to separate, characterize, profile, and quantify analytes from complex biological samples.
Behavioral platform designed to distinguish between different navigational elements. Flexible and user-friendly software and hardware allows for modifications to the researcher’s specific needs, allowing for capabilities of testing in nonspatial tasks as well. Can be used in conjunction with in vivo electrophysiology, as well as video tracking methods.
Ecosystems Laboratory provides bench space, laboratory supplies, chemicals, sample preparation equipment, and sample storage space to enhance and facilitate research within Stanford University community.
Pharma Proteomics Project is precompetitive biopharmaceutical consortium characterizing plasma proteomic profiles of UK Biobank participants. Collaboration between UK Biobank and biopharmaceutical companies characterising plasma proteomic profiles of UKB participants. Project generates the largest open-access plasma proteomics dataset to date, offering insights into trans protein quantitative trait loci across multiple biological domains, and highlighting genetic influences on ligand–receptor interactions and pathway perturbations across diverse collection of cytokines and complement networks.
Software tool for quantification of positive channel area in Matlab.
Software tool for batched microscopy image contrast adjustment and pseudocoloring in Matlab.
Software Python library for navigation, visualisation, and analysis of whole-brain quantification data. Integrated suite for multi-marker automated segmentation, whole-brain statistical analysis, and data visualisation. Used for quantitative multi-marker image analysis of whole-brain registered datasets.
Software package for optimal matching in R. Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies. Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Softawer framework for de novo chromosome-by-chromosome assembly with long reads. Long-reads gap-free chromosome-scale assembler.
Core offers services including molecular modeling of proteins and nucleic acids, virtual drug screening, computational biophysics.
Software MATLAB package for analyzing and categorizing behaviors using pose estimation data. Integrates semi-automatic labeling with machine learning, specifically Long Short-Term Memory neural networks, to classify behavioral "syllables” (distinct, repeatable behaviors). Combinatory approach of semi-automatic labeling and long short-term memory to classify behavioral syllables.
Software suite of scripts to detect and analyse de novo variants from multi-sample vcf.
Software tool for selecting predictors such as bacteria for any continuous environmental variable such as pH, illness measurements, diseases index, etc. Sparse compositional microbiome-predictors selection and prediction of continuous environmental factors. Used for unlocking prediction of continuous environmental variables based on microbiome.
Electron Microscopy Center at USC is core facility providing all levels of technical support and consultation in area of light microscopy, electron microscopy, and elemental analysis. Provides microscopy and specimen preparation services for biological and materials science research. Offers training and access to all microscopes and ancillary equipmen.
Core offers resources and solutions for conducting genomics, transcriptomics, epigenomics and functional genomics projects. We work with researchers to determine project goals and design custom solutions. We assist at all stages of the project, from support in grant development to generation of publication-quality data. Services include Consultations, Bioinformatics, Nucleic Acids purification, quantification and QC DNA Sequencing (SANGER and NGS), Library Constructions for NGS applications,Microarray Hybridization, Real Time PCR, Custom epigenomics applications, Lentiviral vectors and lentiviruses construction and production, CRIPR-CAS9sgRNAs and RNAi/shRNAs knockdown of individual genes and functional screening of sgRNA and shRNA libraries for target identification.
Provides support to experiments that use mouse models to elucidate mechanisms of normal physiology and disease processes, and to develop and test novel agents and therapies to treat diseases. Provides centralized facililty for breeding, genotyping, maintaining colonies, conducting animal experiments, collecting tissues, analyzing experimental results, and training personnel in proper procedures for conducting animal experiments. Core also hosts germ-free mouse facility that works with PI's to produce, distribute, and conduct experiments in germ-free and gnotobiotic mouse models. MEF/GCF offers expertise with genetic, induced, or orthotopic models of disease and coordinates with other USC Cores with respect tissue processing and preparation for various types of analyses.