We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Facility provides quantitative compositional information from top atomic layers of sample surface for the elements lithium to uranium. Core can also obtain information regarding chemical states of any elements present. This facility houses Kratos AXIS Supera+ Spectrometer Unit.
Software lightweight GIMP plug-in to alllow for computer vision-assisted image annotation using GIMP selection toolbox.
Deep learning phenotyping of Arabidopsis fruit morphology. Deep learning model weights and inference code to detect Arabidopsis thaliana siliques in scans of stem material. Phenotyping code to extract length, diameter area and volume metrics of siliques from model outputs.
Updatable online database of mammal taxonomic and biodiversity information hosted by American Society of Mammalogists. Provides information on species-level and higher taxonomic changes, thereby promoting more rigorous study of mammalian biodiversity worldwide. The initial objective has been to aggregate, curate, and compile, new citations on species descriptions and taxonomic revisions into regular releases that are downloadable in comma-delimited format. Downstream goals include expanded hosting of ecological, trait, and taxonomic data.
Thermal Cycler is benchtop PCR machine which features 5-inch color touchscreen for easy control and is also accessible through Thermo Fisher Connect , giving you the freedom to design and securely upload your methods from any mobile device or desktop computer. Designed for amplification of nucleic acids using Polymerase Chain Reaction process. User interface includes touchscreen with graphical display that shows time, status, and temperature for each run. Touchscreen keypad allows to enter information into fields on display screen.
Software tool to discern whether peptide will be recognized by HLA as epitope. Capable of directly identifying peptides as epitopes without the need for inputting HLA alleles. Hybrid transformer model for peptide-HLA epitope detection.
Core answers research questions in any scientific, medical or industrial discipline through capture, processing, image analysis, training and sample preparation services for microscopy. Provides technical and scientific support in advanced microscopy and image processing and analysis.
Core offers Next Generation Sequencing services using Element Biosciences AVITI short read sequencer, PacBio Revio and Oxford Nanopore Promethion/GridIon long read sequencers along with 10X Genomics X, 10X Genomics Visium CytAssist, and 10X Xenium Analyzer single cell/spatial technologies.
Research institute in Esch-sur-Alzette, Luxembourg to study brain and its diseases. Collaboration between biologists, medical and computer scientists, physicists, engineers as well as mathematicians offers new insights into complex biological mechanisms and disease processes, with the aim of developing new tools for diagnostics, prevention, and therapy. LCSB has established strategic partnerships with scientific partners worldwide and with all major biomedical research units in Luxembourg. Carries out collaborative projects with hospitals and research-oriented companies, accelerating translation of fundamental research results into clinical applications.
Software package provides framework of functions and shiny-applications to work with spatial expression data. Used for spatial transcriptomics analysis.
Web service to search for variants, CNVs, genes, transcripts, publications, diseases. Annotation tool and search engine for human genomic variants, and platform enabling sharing of knowledge on specific variants. Enables users to look up variants in their genomic context, collects data from multiple databases in central location and most importantly, aims to enable community to freely and easily share knowledge on human variation.
Software R package for single cell and other data analysis using diffusion maps. Package for diffusion maps, with additional features for large-scale and single cell data.
Software tool to analyze TCR and BCR sequences using unselected RNA sequencing data, profiled from fluid and solid tissues, including tumors. Performs de novo assembly on V, J, C genes including the hypervariable complementarity-determining region 3 and reports consensus contigs of BCR/TCR sequences. TRUST4 then realigns the contigs to IMGT reference gene sequences to identify the corresponding gene and CDR3 details. TRUST4 supports both single-end and paired-end bulk or single-cell sequencing data with any read length.
Shared high-performance computing cluster. All research teams on Sherlock have access to a base set of managed computing resources, GPU-based servers, and a multi-petabyte, high-performance parallel file system for short-term storage. Stanford Faculty can supplement these shared nodes by purchasing additional servers. By investing in the cluster, PI groups not only receive exclusive access to the nodes they purchase, but also get access to all the other owner compute nodes when they're not in use, thus giving them access to the whole breadth of Sherlock resources.
Deep learnining based variational inference method to integrate scRNA-seq with spatial transcriptomics data. ENVI learns to reconstruct spatial onto for dissociated scRNA-seq data and impute unimagd genes onto spatial data.
Deep learning framework, with support for JAX, TensorFlow, and PyTorch. Used to build and train models for computer vision, natural language processing, audio processing, timeseries forecasting, recommender systems. Offers consistent and simple APIs, minimizes number of user actions required for common use cases, and provides clear and actionable error messages. Keras also gives the highest priority to crafting documentation and developer guides.
Software pipeline that simultaneously collects and processes Xenium In Situ Gene Expression data. Used for analyzing and visualizing in situ gene expression data produced by the Xenium Analyzer.
Software tool for analysis and visualization of spatial molecular data. Scalable framework for spatial omics analysis. Builds on top of scanpy and anndata, from which it inherits modularity and scalability. Provides analysis tools that leverages spatial coordinates of data, as well as tissue images.
Software framework for processing spatial omics data. Data framework that comprises FAIR storage format and collection of python libraries for performant access, alignment, and processing of uni- and multi-modal spatial omics datasets.
Database that aims to comprehensively explore distinct functional states of cancer cells at the single-cell level. Provides functional state-associated PCG/lncRNA repertoires across all cancers, in specific cancers, and in individual cancer single-cell datasets. Provides interface for comprehensively searching, browsing, visualizing and downloading functional state activity profiles of cancer single cells and corresponding PCGs/lncRNAs expression profiles.