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Simulation environment that combines flexible script language user interface with computational tools in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level. It aims to include cell excitation, tissue/anatomy models, and stimulation protocols in BeatBox scripts so that simulation run either sequentially or in parallel (MPI) without re-compilation.
Community portal for a distributed data sharing platform and open protocol for building apps. The Dat Project imagines a web of commons created by global communities on open and secure protocols.
Dataset of functionally characterized rice genes and members of different gene families. The dataset was created by integrating data from available databases and reviewing publications of rice functional genomic studies.
Source code for the Python implementation of the kernel Current Source Density method. The method operates in one-, two-, and three-dimensional space to perform nonparametric estimation of transmembrane current sources from local field potentials recorded from arbitrarily distributed electrodes.
Software for metabarcoding of DNA. SOAPBarcode takes advantage of high throughput capacity of next-generation-sequencing (NGS) platforms and can characterize the biodiversity of large volumes of eukaryote samples.
Software for cluster analysis of microarray data. Genesis is a platform independent Java package of tools to simultaneously visualize and analyze a whole set of gene expression experiments.
Perl software for transcription factor binding site detection and analysis. It implements classes for the representation of objects encountered in analysis of these protein-binding sites.
Software for digital video camera recording that allows users to control and acquire dadta from multiple cameras simultaneously in a singleuser interface. StreamPix provides a complete management console for cameras, simplifying the setup, control and acquisition from any number and type of camera.
Software for read-pair simulation of 3C-based sequencing methodologies (HiC, Meta3C, DNase-HiC). Sim3C's potential applications include addressing questions directed at the spatial organization of DNA in samples of eukaryotic tissue, single cells, and microbial communities.
Collection of resting state fMRI (R-fMRI) datasets from sites around world. It demonstrates open sharing of R-fMRI data and aims to emphasize aggregation and sharing of well-phenotyped datasets.
Imaging software that works with G:BOX Chemi and PXi imaging systems to automatically or manually capture images. GeneSys also includes a database containing information about applications such as fluorescence, chemiluminescence and chemifluorescence.
Long-term study of brain development and child health in the United States. The study tracks subjects' biological and behavioral development through adolescence into young adulthood to determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes.
The Adolescent Brain Cognitive Development (ABCD) Study is the largest long-term study of brain development and child health in the United States. The National Institutes of Health (NIH) funded leading researchers in the fields of adolescent development and neuroscience to conduct this ambitious project. The ABCD Research Consortium consists of a Coordinating Center, a Data Analysis and Informatics Center, and 21 research sites across the country (see map), which will invite approximately 10,000 children ages 9-10 to join the study. Researchers will track their biological and behavioral development through adolescence into young adulthood. Using cutting-edge technology, scientists will determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes. The results of the ABCD Study will provide families; school superintendents, principals, and teachers; health professionals; and policymakers with practical information to promote the health, well-being, and success of children. The ABCD Study, in partnership with the NIMH Data Archive (NDA), is releasing fast-track data containing unprocessed neuroimaging data from ABCD Study participants to date, as well as basic participant demographics (age, sex), including: High-resolution structural data (3D T1 - and T2 - weighted scans) Advanced diffusion MRI (multiple b-values and directions) Resting State fMRI Task fMRI (Monetary Incentive Delay, Stop-Signal, and Emotional N-Back), along with raw E-Prime task files for each fMRI run Neuroimaging data are collected using a harmonized Human Connectome protocol, developed for the ABCD Study, and supported across all three major MRI scanner platforms (Siemens, General Electric, and Philips). Fast track data are in DICOM format as provided by the MRI scanners and have not undergone quality control or curation. As such, these data are most suitable for technical methods development, as the DICOM images would require pre-processing (e.g., distortion correction, movement correction, alignment) to be suitable for data analysis. The ABCD Study is designed to include a diverse population that reflects the demographics of the U.S., however these interim data may not capture that diversity as enrollment is not yet complete. Fast-track data will be released monthly.
Web portal that allows free access to supercomputing resources for large scale modeling and data processing. Portal facilitates access and use of National Science Foundation (NSF) High Performance Computing (HPC) resources by neuroscientists.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 6,2026. Platform for mediation and integration of schizophrenia neuroimaging-related databases. It provides access to federated databases, novel mediation software, and large-scale data-sharing features.
Software for identifying associations between host genetic variation and microbiome composition. HOMINID is a computational approach based on Lasso linear regression, that given host genetic variation and microbiome taxonomic composition data, identifies host SNPs that are correlated with microbial taxa abundances.
Language standard for automating English language protocols. Autoprotocol specifies experimental protocols for biological research as a way to define experiments that could be run over the internet on remote robotic automation.
Protocol repository for microfluidics experiments and chips. METAFLUIDICS provides a home for digital design files and other information necessary to reproduce or remix a microfluidic device.
Robot with open source software that allows for configurable robotic science. The robot's primary function is automating pipette functions in biological research in order to save time for research labs.
Software language for methods to simplify protocols into reusable components that can be exchanged or removed to produce simple, reproducible, and scalable workflows. It allows users to develop, execute, and analyse biological experiments faster, while also introducing standardization and modularity to bioengineering.