We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
The Alzheimer's Association created The Global Alzheimer's Association Interactive Network (GAAIN) to connect Alzheimer’s and dementia researchers and speed discovery by connecting potential collaborators to those sharing data (GAAIN Data Partners). GAAIN's powerful interactive tools allow users to explore data and create cohorts across multiple data sources and run immediate preliminary analysis while upholding the data control, security, and privacy policies of the data owners. These tools are freely accessible to all at www.gaaindata.org. A wide and vastly varying range of metadata from nearly 500,000 subjects can be explored using these tools. Attributes include demographics, assessments, health factors, biologicals, imaging and genetics.
Mikado is a lightweight Python3 pipeline whose purpose is to facilitate the identification of expressed loci from RNA-Seq data * and to select the best models in each locus.
Web service for data exploration and analysis of the ABCD Study - the largest long-term study of brain development and child health in the United States.
Software package for signal-level analysis of Oxford Nanopore sequencing data.
Knowledge repository established to describe molecular mechanisms of Parkinson's Disease. It compiles literature-based information on PD into an easy to explore and freely accessible molecular interaction map and offers research-facilitating functionalities such as the overlay of experimental data and the identification of drug targets on the map
Software repository holding a cloud-ready demonstration of the use of Kafka as a genomic database.
Project whose goal is to provide Data Environments to the biomedical community. The Data Biosphere works to create a user experience around key modular components — each having discrete capabilities and clear rules of interaction, and each served by multiple alternative implementations.
Software that implements a framework to encode structural brain connectomes into multidimensional arrays (tensors). Encoding Connectomes provides an agile framework for computing over connectome edges and nodes.
Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility.
Software toolkit for the comparative assessment of genome reconstructions from metagenome benchmark datasets. It provides performance metrics, results rankings, and comparative visualizations for assessing multiple programs or parameter effects.
Rabbit monoclonal antibody raised against the -Val-Ile-Pro-Arg-Ser in the C-terminus. Edwards et al. Biochem Pharmacol. 1998 Aug 1;56(3):377-87. PubMed PMID: 9744576
Software for an integrated network combining multiple biological network database sources into a single human protein interactome. The software package contains gene interaction pairs corresponding to the unified global network.
Software that archives evidence collected from different sources, then analyzes and presents these data. Its data come from manually curated protein-protein interaction databases that have adhered to the IMEx consortium.
Database for investigating and visualizing protein-protein interactions. It aims to maintain coverage, quality, convenience, and transparency in the field of PPI research.
Database of human protein-encoding genes that is constructed by a modified Bayesian integration of 'omics' data from multiple organisms. Each data type is weighted according to how well it links genes that are known to function together in humans, and each interaction has an associated log-likelihood score (LLS) that measures the probability of an interaction representing a true functional linkage between two genes.
Formerly known as GIANT (Genome-scale Integrated Analysis of gene Networks in Tissues), HumanBase applies machine learning algorithms to learn biological associations from massive genomic data collections. These integrative analyses reach beyond existing "biological knowledge" represented in the literature to identify novel, data-driven associations.
Database of cell lines with each expressing a tagged version of a protein from the ORFeome collection. The overarching project goal is to determine protein interactions for every member of the collection.
Hardware that is used to test and assess pain and inflammation of the hind limbs on mice and rats. Dynamic weight bearing enables the test to be implemented on both limbs, while inflicting less stress on the subject animal.
Software for statistical analysis and spreadsheet editing that is built on top of the R statistical language. It encourages a “community driven” philosophy, where users can develop and publish their analyses to make them available to a wide audience.
Software for a Python feature selection repository that contains a variety of feature selection algorithms, including traditional feature selection algorithms and some structural and streaming feature selection algorithms. It serves as a platform for facilitating feature selection application, research and comparative study.