We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Research consortium from many different fields to plan, perform and analyze the studies that are needed to help researchers conduct future prevention and intervention for Lower Urinary Tract Symptoms (LUTS) in women.
Project to facilitate research on single cells within tissues by supporting data generation and technology development to explore the relationship between cellular organization and function, as well as variability in normal tissue organization at the level of individual cells. Framework for functional mapping the human body with cellular resolution.Designed to support diverse spatial and non-spatial omics and imaging data types and to integrate with a wide range of analysis workflows.
International project to analyze mouse and human hematopoiesis, and provide a tractable system with clear clinical significance and importance to NIDDK. Collection of information from the flood of epigenomic data on hematopoietic cells as catalogs of validated regulatory modules, quantitative models for gene regulation, and a guide for translation of research insights from mouse to human.
Project to ethically obtain and evaluate human kidney biopsies from participants with Acute Kidney Injury (AKI) or Chronic Kidney Disease (CKD), create a kidney tissue atlas, define disease subgroups, and identify critical cells, pathways, and targets for novel therapies. Used to develop the next generation of software tools to visualize and understand the various components of kidney diseases and to optimize data collection. Multi site collaboration comprised of patients, clinicians, and investigators from across the United States.
Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity.
Software tool for simulating the mucosal immune responses to Helicobacter pylori infection in stomach.
ENISI MSM is a high-resolution model of the stomach for simulating the mucosal immune responses to Helicobacter pylori infection.
Software as a cross platform gene expression visualization tool. Extensible viewer for microarray data in the PCL or CDT format. Interactive display of clustered gene expression data. Java application for visualizing large data matrices. It can load a dataset, cluster it, browse it, customize its appearance and export it into a figure.
Software tool to identify metagenomic sequences of phages, chromosomes or plasmids. Used for identifying phages and plasmids from metagenomic fragments using deep learning., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
This was a test to figure out how to add resources in SciCrunch.
kit for apoptosis
This ELISA kit is used for quantitative protein detection, establishing normal range, validation of antibody array results, strip plates and additional reagents allow for use in multiple experiments.
Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners.
A deep learning python package for medical imaging data. Focused on validated tools you can use today with a minimum of friction. Created by the Quantitative Translational Imaging Lab at the Martinos Center (Harvard-MIT Program in Health, Sciences, and Technology / Massachussets General Hospital).
Web tool for gene expression profiling, meta-analysis and systems understanding. Used for statistical, visual and network-based meta-analysis of gene expression data.
Software application for matching a single candidate protein sequence and its modifications against a set of mass spectrometric observations. Used to analyze top-down mass spectrometry data.
Organization dedicated to analysis of protein molecules by mass spectrometry, with a focus on intact protein measurements. Biomedical projects originated from clinical and basic research programs that utilize both targeted and untargeted analyses. Used for the development of new technology, training and dissemination of proteomics methods to laboratories and scientists.
IHC,WB
Molecular computing based on XNA-built alphabets.
Krukowskikh, V., & Gradov, O. (2014). Praxeometric analysis of the selfish genetic machinery using W. Gasparski criteria for extended phenotypic expressivity. Life of Genomes - 2014. https://doi.org/10.13140/2.1.3298.9123