We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Community of scientists focused on the study of epithelial cell function and mucosal biology including inflammation and host defense of the gastrointestinal tract. It focuses on the intestinal and inflammatory bowel diseases; gut microbiology; and stem cell and developmental biology of the intestine and liver in organ physiology, regenerative medicine, and metabolism.
Provides human microbiome datasets and minimum reporting standards established by DCC, from both initial HMP-1 phase and iHMP. Offers to query and retrieve metagenomic, metatranscriptomic, human genetic, microbial culture, and many other data types from each project. Provides integrated longitudinal datasets from both microbiome and host from different cohort studies of microbiome associated conditions.
Software tool which allows the automatic and high throughput measure of root length, as well as extra associated measures such as curvature. The user must supply start points for each root, and exemplar patches of nearby background. The software will then trace the main root to the tip, in every image in a timeseries, and record the results.
Software tool for quantification of root system architectures in range of plant species, grown and imaged in variety of ways. Root phenotyping software driven by deep learning. Measurements can be exported directly in RSML format, where additional traits can be calculated later using simple plug-in system.
Modular program for SPM (scanning probe microscopy) data visualization and analysis. Primarily it is intended for the analysis of height fields obtained by scanning probe microscopy techniques (AFM, MFM, STM, SNOM/NSOM) and it supports a lot of SPM data formats. However, it can be used for general height field and (greyscale) image processing, for instance for the analysis of profilometry data or thickness maps from imaging spectrophotometry.
European project that aims to improve the care for patients with Traumatic Brain Injury. It provides general information and aims to be a communication platform for patients, scientific participants and investigators.
Ontology of drug targets to be used as a reference for drug targets, with the longer-term goal of creating a community standard that will facilitate the integration of diverse drug discovery information from numerous heterogeneous resources. The project itself aims to develop a novel semantic framework to formalize knowledge about drug targets with a focus on the current IDG protein families.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 5,2026.ImageJ plugin that performs semiautomated analysis of randomly selected sets of nervous system fibers.
Biorepository that stores human tissue, blood, and biofluid samples in frozen, ffpe, and tissue microarray form for research.
Statistical modeling program that provides a wide choice of models, estimators, and algorithms in a program that has graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program. The Mplus modeling framework draws on the unifying theme of latent variables. The generality of the Mplus modeling framework comes from the unique use of both continuous and categorical latent variables. Continuous latent variables are used to represent factors corresponding to unobserved constructs, random effects corresponding to individual differences in development, random effects corresponding to variation in coefficients across groups in hierarchical data, frailties corresponding to unobserved heterogeneity in survival time, liabilities corresponding to genetic susceptibility to disease, and latent response variable values corresponding to missing data. Categorical latent variables are used to represent latent classes corresponding to homogeneous groups of individuals, latent trajectory classes corresponding to types of development in unobserved populations, mixture components corresponding to finite mixtures of unobserved populations, and latent response variable categories corresponding to missing data.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 6, 2017. Detection instrument that gathers absorbance, fluorescence, and luminescence data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 7, 2017. Software designed for objective quantification/counting of PLA signals in cells and tissue images generated from fluorescence microscopy. The nuclei are automatically detected and cytoplasm size estimated, enabling single cell statistical analysis of expression levels in tissue or cell populations.
High-resolution microscope camera designed for low magnifications and enlargements in brightfield imaging. Its features include fast focusing, a large native pixel size, and a supported cooling combine for clear fluorescent imaging and documentation.
Digital-imaging microscope that uses Nikon's CFI60 optics and high signal-to-noise ratios to produce fluorescence images. It utilizes Nikon’s “fly-eye” technology, VC Plan Apo objectives and both intelligent and motorized digital imaging heads.
Non-profit initiative of the Belgian Diabetes Registry (BDR), the Beta Cell Therapy consortium (BCT), the Flemish Center for Medical Innovation (CMI) and the Brussels Institute for Research and Innovation (Innoviris). It aims to support medical research into the epidemiology, prevention, diagnosis and treatment of diabetes.
Database that contains data such as registry entries, portions of regulatory documents describing individual trials, structured data on methods and results, and researchers and papers from and/or related to clinical trials. The initiative aims to locate, match, and share all publicly accessible data and documents, on all trials conducted, on all medicines and other treatments, globally.
Database that provides gene expression profiles of genes and gene signatures in healthy and malignant hematopoiesis and includes data from both humans and mice. In addition to the default plot, which displays an integrated expression plot, two additional levels of visualization are available: an interactive tree showing the hierarchical relationship between the samples, and a Kaplan-Meier survival plot. The database is sub-divided into several datasets that are accessible for browsing.
Database for the identification of the human proteome and its use across the scientific community. Users can browse proteins and chromosomes and contribute to the data repository.
Web resource that integrates evidence on protein subcellular localization from manually curated literature, high-throughput screens, automatic text mining, and sequence-based prediction methods. All evidence is mapped to common protein identifiers and Gene Ontology terms, and further unify it by assigning confidence scores that facilitate comparison of the different types and sources of evidence and visualize these scores on a schematic cell.
Web-based resource that reorganizes mass spectrometry-based proteomics data to explore expressed proteins in fetal tissues/adult tissues/hematopoietic cells obtained from human. All samples used to generate these data were obtained from histologically normal samples.