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http://www.jneurosci.org/supplemental/18/12/4570/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 29, 2013. Supplemental data for the paper Changes in mitochondrial function resulting from synaptic activity in the rat hippocampal slice, by Vytautas P. Bindokas, Chong C. Lee, William F. Colmers, and Richard J. Miller that appears in the Journal of Neuroscience June 15, 1998. You can view digital movies of changes in fluorescence intensity by clicking on the title of interest.
Proper citation: Hippocampal Slice Wave Animations (RRID:SCR_008372) Copy
http://grey.colorado.edu/emergent
emergent is a comprehensive, full-featured neural network simulator that allows for the creation and analysis of complex, sophisticated models of the brain in the world. With an emphasis on qualitative analysis and teaching, it also supports the workflow of professional neural network researchers. Its high level drag-and-drop programming interface, built on top of a scripting language that has full introspective access to all aspects of networks and the software itself, allows one to write programs that seamlessly weave together the training of a network and evolution of its environment without ever typing out a line of code. Networks and all of their state variables are visually inspected in 3d, allowing for a quick visual regression of network dynamics and robot behavior. This same 3d world sports a highly accurate Newtonian physics simulation, allowing you to create rich robotics simulations (for example, a car). As a direct descendant of PDP (1986) and PDP (1999), emergent has been in development for decades. In the most recent versions available strive to distill it down to its essential elements. Those that take the time to learn the best practices will be rewarded with the ability to create and understand the most complicated neural models ever published.
Proper citation: Emergent (RRID:SCR_008500) Copy
This comprehensive free collection of multimedia resources and inquiry-based activities tied to the National Science Education Standards help teachers and students learn about the structure, function and cognitive aspects of the human brain. The packet includes a teacher's manual, student manual, DVD of videos, and a CDROM of accompanying materials.
Proper citation: Brain's Inner Workings: Activities for Grades 9 through 12 (RRID:SCR_008842) Copy
Portal for visualization and analysis of multi omic data in public and private domains. Enables upload, visualization and analysis of scRNA-seq data.
Proper citation: gene Expression Analysis Resource (RRID:SCR_017467) Copy
https://github.com/PriceLab/TReNA
Methods for reconstructing transcriptional regulatory networks.
Proper citation: TReNA (RRID:SCR_017458) Copy
http://compbio.mit.edu/ChromHMM/
Software tool for chromatin state discovery and characterization. Used for chromatin state discovery and genome annotation of non coding genome using epigenomic information across one or multiple cell types. Combines multiple genome wide epigenomic maps, and uses combinatorial and spatial mark patterns to infer complete annotation for each cell type. Provides automated enrichment analysis of resulting annotations.
Proper citation: ChromHMM (RRID:SCR_018141) Copy
https://health.uconn.edu/worm-lab/track-a-worm/
Open source system for quantitative assessment of C. Elegans locomotory and bending behavior. Used for quantitative behavioral analyses to understand circuit and gene bases of behavior. Constantly records and analyzes position and body shape of freely moving worm at high magnification.
Proper citation: Track-A-Worm (RRID:SCR_018299) Copy
Software R package for mathematical modeling of infectious disease over networks. Provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Mathematical Modeling of Infectious Disease Dynamics.
Proper citation: EpiModel (RRID:SCR_018539) Copy
Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values.
Proper citation: piNET (RRID:SCR_018693) Copy
https://github.com/aplbrain/saber
Library of containerized tools and workflow deployment system for enabling processing of large neuroimaging datasets. Provides canonical neuroimaging workflows specified in standard workflow language (CWL), integration with workflow execution engine (Airflow), imaging database (bossDB), and parameter database (Datajoint) to deploy workflows at scale, and tools to automate deployment and optimization of neuroimaging pipelines.
Proper citation: Scalable Analytics for Brain Exploration Research (RRID:SCR_018812) Copy
https://openwetware.org/wiki/RAVE
Open source software tool for reproducible analysis and visualization of intracranial EEG data. Used for analysis of intracranial electroencephalogram data, including data collected using strips and grids (electrocorticography, ECoG) and depth electrodes (stereotactic EEG).
Proper citation: RAVE (RRID:SCR_019040) Copy
http://www.open-ephys.org/pulsepal
Open source pulse train generator that allows users to create and trigger software defined trains of voltage pulses with high temporal precision. Generates precisely timed pulse sequences for use in research involving electrophysiology or psychophysics.
Proper citation: Open Ephys: Pulse Pal (RRID:SCR_017203) Copy
http://kim.bio.upenn.edu/software/pivot.shtml
Software R package for interactive analysis and visualization of transcriptomics data. Operating systems are macOS, Linux, Windows.
Proper citation: PIVOT software (RRID:SCR_017210) Copy
http://www.brainimagelibrary.org
Public, NIH-funded repository and analysis ecosystem for brain microscopy data, designed to store, share, and process massive volumetric datasets. It enables researchers to access whole-brain images, neuron morphologies, and spatial data without needing to download, fostering collaborative discovery. Used to deposit, analyze, mine, share and interact with large brain image datasets.
Proper citation: Brain Image Library (RRID:SCR_017272) Copy
BossDB (Brain Observatory Storage Service and Database) is a cloud-based ecosystem for the storage and management of public large-scale volumetric neuroimaging and connectomics datasets. This includes volumetric Electron Microscopy and X-Ray Micro/Nanotomography data with support for multi-channel image data, segmentations, annotations, meshes, and connectomes. BossDB integrates with community resources for data access, processing, visualization, and analysis, and includes an API that enables metadata management, rendering, datatype conversions, and ingest.
Proper citation: Brain Observatory Storage Service and Database (BossDB) (RRID:SCR_017273) Copy
https://github.com/SciCrunch/NIF-Ontology/tree/neurons/ttl
An ontology for describing the complex phenotypes of neurons.
Proper citation: Neuron Phenotype Ontology (RRID:SCR_017403) Copy
Consortium for the cell census in the brain. Integrated network of data generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate brains.
Proper citation: BICCN (RRID:SCR_015820) Copy
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.
Proper citation: NeMOarchive (RRID:SCR_016152) Copy
http://www.nitrc.org/projects/psc/
Data analysis software that can simultaneously characterize a large number of white matter bundles within and across different subjects for group analysis. It has three major components: construction of the structural connectome for the whole brain, low-dimensional representation of streamlines in each connection, and multi-level connectome analysis.
Proper citation: Mapping Population-based Structural Connectomes (RRID:SCR_016232) Copy
https://github.com/r3fang/SnapATAC
Software package for analyzing scATAC-seq datasets.Used to dissects cellular heterogeneity in unbiased manner and map trajectories of cellular states. Can process data from up to million cells. Incorporates existing tools into comprehensive package for analyzing single cell ATAC-seq dataset.
Proper citation: SnapATAC (RRID:SCR_020981) Copy
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