Curator Dashboard

Core provides access to instrumentation, training, flow cytometry services, and advanced microscopy (light, epifluorescence, confocal and laser tweezers/microdissection microscopy, and scanning and transmission electron microscopy) on a recharge basis. Clients may be trained to use instruments independently, elect to have a technician operate the instruments in their presence, or may contract the technician to conduct the work and provide finished products. Provides workshops, demonstrations, and laboratory sessions for UH undergraduate and graduate courses, staff, and faculty.

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• SciCrunch
• 1 month ago - submitted by Edyta Vieth

Web application for comprehensive and efficient analyses of RNA-Seq data. Used for end-to-end bulk RNA-seq analyses including DEG identification, GSEA, etc.

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• RRID
• 1 month ago - by Anonymous

TU Delft's local LLM serving platform for research and education, powered by NVIDIA Dynamo and vLLM in the TULIP k8s cluster. It exposes an OpenAI-compatible API, so any code written for the OpenAI client libraries will also work with TULIP.

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• 1 month ago - submitted by Armand Guicherit

Research Engineering and Infrastructure Team (REIT) at the Faculty of Electrical Engineering, Mathematics and Computer Science at TU Delft is dedicated to support students and researchers with their expertise in software engineering, data science, and high-performance computing. Their mission is to enable researchers to focus on their research by providing them with the best possible research infrastructure and support.

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• 1 month ago - submitted by Armand Guicherit

Python library and command-line tool that fits second-order autoregressive AR(2) models to gene expression time series and reports the eigenvalue modulus, a single statistic quantifying temporal persistence. Classifies genes into clock, target and background layers and reports correlation length, half-life and root type per gene.

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• 1 month ago - submitted by Michael Whiteside

Offline electronic research notebook that builds a project-specific documentation structure from a laboratory's own planning documents, drafts research notes from uploaded experiment logs and measurement data, and links every generated sentence to an entry in an evidence ledger. A note cannot be sealed while it contains a claim the ledger does not support: four deterministic gates check evidence mapping, longitudinal consistency against all previously sealed notes, numeric and unit integrity, and required fields. Text refused by a gate is retained together with the finding rather than discarded. Sealed notes are chained with a SHA-256 hash covering both the content and the signatures, so later alteration of either is detectable offline. Runs entirely in the browser from a local static server, with no server infrastructure, no cloud account and no external dependencies. Interface in Korean, English and Japanese.

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• 1 month ago - submitted by Seung Jung

Software single-cell RNA-seq and spatial transcriptomics R toolkit built on top of Seurat. It wraps repetitive boilerplate into one-liners, enforces consistent colors and layouts across an entire project, and automates the last mile from analysis to slide deck.

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• RRID
• 1 month ago - by Anonymous

Core provides research infrastructure, data resources, and analytical expertise to support studies in sex-based precision medicine. Facilitates access to and analysis of large-scale clinical, electronic health record, genomic, and population datasets, including eMERGE and the All of Us Research Program, and assists investigators with their own research data. Core provides expertise in biomedical informatics, biostatistics, statistical genetics, bioinformatics, data management, artificial intelligence and machine learning, and implementation science. Through consultation and collaborative support, the SPMRC assists investigators with study design, data acquisition and management, analytical approaches, interpretation of results, and development of rigorous, reproducible research addressing sex differences in health and disease.

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• RRID
• 1 month ago - by Anonymous

Core provides access to flow cytometry and cell sorting instrumentation and expertise. Services include cell sorting and multi-parametric analysis of individual cells in solution. Provides assistance in sample processing, data analysis, instrument training, software support, method and grant assistance, manuscript support, and consulting. BSL-2 facility is equipped with BD FACSymphony S6 and FACSAria Fusion cell sorters, a Cytek Aurora spectral flow cytometer, an Agilent NovoCyte Advanteon conventional flow cytometer, and other supplemental assay instrumentation (Bio-Rad QX600 ddPCR, C.T.L ImmunoSpot). The flow cytometry analyzers provide users with tube- and plate-based, conventional and spectral flow cytometry. The BD FACS instruments allow measurement and sorting of up to 6 resolved populations of cells simultaneously, based on up to 50 parameters of detection using 18 simultaneous fluorochromes. The facility is equipped to handle BSL-2 samples and perform aseptic and single cell sorting into tubes or 96-well plates. The facility provides instrument training for users who desire to become self-operators of the facility instruments. The FCC will equip CBID researchers with tools directly applicable to infectious disease research, such as identifying and characterizing infectious agents such as bacteria and parasites, quantification and sorting of cells infected with microbial pathogens, and assessing chemical probe efficacy against infectious agents.

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• SciCrunch
• 1 month ago - submitted by Edyta Vieth

Core develops and utilizes preclinical and in-vivo systems for the testing of novel cancer therapeutics. Provides technical services and collaboration with the IACUC, DCM, and other core facilities on campus for labs that utilize small laboratory animals in their research. Offers technical expertise with small laboratory animal models for reproducibility of research at UNC, and complete study management as well as individual services. Technicians are experienced, highly skilled, and maintain American Association for Laboratory Animal Science Technician/Technologist (AALAS) certifications.

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• SciCrunch
• 1 month ago - submitted by Edyta Vieth

Specialized artificial intelligence platform designed to automate heavy research, data gathering, and document creation for life science, medical, and pharmaceutical professionals. Instead of acting like a general chatbot, it acts as a digital research assistant that replaces weeks of manual database searching and paper-reading with structured, cited outputs. Research agent for pharmaceutical, biotech, and medical professionals. It searches trusted scientific source.

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• SciCrunch
• 1 month ago - by Anonymous

Advanced laboratory instrument used for absolute quantification of DNA and RNA. It partitions samples into 20,000 nanoliter sized droplets and uses 6-color multiplexing to test up to 12 targets per well with high sensitivity.

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• RRID
• 1 month ago - by Anonymous

Tractability atlas for experimental organism selection. Surveyable map of the practical tractability landscape organisms across the tree of life.

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• 1 month ago - by Anonymous

Software tool as platform for automatically capturing, processing, and visualizing data from laboratory instruments. Lab instrument PCs run a watcher service that uploads files to S3, an AWS Lambda function processes them through instrument-specific pipelines, and a Next.js web application provides a dashboard, REST API, and MCP server for scientists to use.

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• 1 month ago - by Anonymous

Software tool as Model Context Protocol (MCP) server that exposes PyMOL as a typed tool surface to your agent (Claude Code/Desktop, Codex, or any MCP-compatible client). Server that gives language-model agents discoverable, two-way access to a user's live PyMOL session, letting agents both manipulate molecular visualizations and read structured analytical results back out.

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• 1 month ago - by Anonymous

Software Python package for making UMAP interpretable with exact feature contributions. Used to explain why data points land in specific places on a UMAP map. Augments UMAP by computing exact feature contributions to the UMAP embedding. Standard UMAP produces embeddings but offers no insight into why points land where they do. Glass Box UMAP solves this by using a specially designed neural network that enables exact computation of feature contributions, and does so without approximations. The feature contributions are mathematically exact, validated to near machine precision.

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• RRID
• 1 month ago - by Anonymous

Historic public university located in Alcalá de Henares, Spain, about 35 kilometers northeast of Madrid. Founded originally in 1499 by Cardinal Cisneros, it serves as a major cultural and educational center and is famous for hosting the annual Cervantes Prize ceremony. Home to the Ci2A (Centro de Investigaciones Interdisciplinares de Alcalá), a prominent scientific research facility created by the Spanish National Research Council (CSIC) on the campus of the Universidad de Alcala.

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• 1 month ago - submitted by Edyta Vieth

Artificial intelligence platform designed to assist clinicians with rare diseases across screening, diagnosis, treatment planning, and prognosis. It uses coordinated AI modules to handle complex medical decision-making for over 7,000 rare conditions. AI-Driven Rare Disease Clinical Decision Support.

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• 1 month ago - submitted by anita bandrowski

Software code to reproduce all benchmark and validation results in SpatiGRN: Spatially-Resolved Gene Regulatory Network Inference with Integrated Cell-Cell Communication Analysis.

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• 1 month ago - submitted by BL Tang

Core delivers support, intuitive tools, and broad accessibility for biomedical discovery. Allows teams to move from experimentation to deployment, fostering cross-functional collaboration between AI HPC and the AI Hub, expands access to advanced computing resources, streamline workflows, and empowers a growing network of users. High-performance computer is capable of performing artificial intelligence techniques such as machine learning and deep learning. These resources accelerate healthcare research, help investigators from different fields to work together and share their data and expertise, and ultimately improve population health through rapid translation of research to clinical care.

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• 1 month ago - submitted by Alexander Alekseyenko