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http://www.nitrc.org/projects/biomag_group/

THIS RESOURCE IS NO LONGER IN SERVICE, documented December 11, 2015. A discussion group for those actively involved in research into, or applications of, biomagnetism and magnetoencephalography (MEG).

Proper citation: Biomag Discussion Group on Yahoo (RRID:SCR_014089) Copy   

•   Source: SciCrunch Registry

https://paperpile.com

A web application which allows users to find reference papers and cite them during the authoring process. Paperpile utilizes Google and Chrome apps in order to directly download PDFs from various databases to Google Drive. If writing in Google Docs, users can search for certain reference papers and insert them into their draft as citations using the Google Drive Paperpile tool. Users can also collaborate on papers and add different citations.

Proper citation: Paperpile (RRID:SCR_014002) Copy   

•   Source: SciCrunch Registry

https://poetica.com

A web-based authoring platform for Wordpress which allows users to write, edit, and track changes and revisions. Users can see all revisions and edits to an artcle and decide which ones may be kept or reverted. After creating an article, users can upload it directly to WordPress.

Proper citation: Poetica (RRID:SCR_014005) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/aperture/

A MATLAB-based toolbox for analysis of EEG, MEG, and ECoG data. APERTURE allows flexible multivariate analysis of ERPs and oscillatory activity and supports mass-univariate analysis with advanced statistical tests. Computations are accelerated using parallel computing supported through the MATLAB distributed computing toolbox. Examination of large, high-dimensional datasets is made simple through data visualization tools, including advanced plotting routines and generation of PDF reports with many figures.

Proper citation: APERTURE (RRID:SCR_014082) Copy   

•   Source: SciCrunch Registry

https://automeris.io/WebPlotDigitizer/

Web based tool to extract data from plots, images, and maps. HTML5 based online tool to extract numerical data from plot images. Used to reverse engineer images of data visualizations to extract underlying numerical data.

Proper citation: WebPlotDigitizer (RRID:SCR_013996) Copy   

•   Source: SciCrunch Registry

http://www.asu.edu

Public research university located in Tempe, Arizona, USA.

Proper citation: Arizona State University; Arizona; USA (RRID:SCR_014053) Copy   

•   Source: SciCrunch Registry

http://lens.elifesciences.org/#state=main;0.searchQuery=%7B%22searchStr%22%3A%22%22%2C%22filters%22%3A%7B%7D%7D

A web application which modifies the online use of scientific articles published in eLife. eLife Lens is a tool created by eLife that enables users to explore figures, figure descriptions, and references while keeping their place in the article text. Users can search for papers by subject, organism, article type, and/or top authors.

Proper citation: eLife Lens (RRID:SCR_013809) Copy   

•   Source: SciCrunch Registry

http://www.crossmodel.org/

An international consortium whose goals are to enable faster comparative studies and develop tools that make analysis accessible to the wider scientific community. InterMOD is an open source data warehouse where users can query and input their own data, access analysis tools, and create their own InterMine. Five core mines make make up InterMOD: RGD, SGD ZFIN, MGI, and WormBase.

Proper citation: InterMOD (RRID:SCR_013808) Copy   

•   Source: SciCrunch Registry

http://emeraldcloudlab.com

A production service resource which allows researchers to conduct experimental procedures through the cloud. Researchers can ship samples for an experiment to Emerald, then design the experiment(s) over the web using ECL software. Emerald then conducts the experiment(s) in an automated lab as specified, organizing the data into a database in the cloud. Samples are then shipped back to the lab (within a metter of days) and results can be analyze ECL's data analysis suite. Standard experiment types include but are not limited to: analytical balance readings, light microscopy, solid phase extraction, flourescence thermodynamics, RNA extraction/cDNA prep, and Western blot. Additional experiment types may be contributed.

Proper citation: Emerald Cloud Lab (RRID:SCR_013976) Copy   

•   Source: SciCrunch Registry

http://ipython.org/notebook.html

A web application and interactive computational environment where users can combine code execution, rich text, mathematics, plots, and rich media. IPython Notebook consists of two parts, the web application and plain texts. The Ipython Notebook web application is used for interactive authoring of literate computations, in which explanatory text, mathematics, computations, and rich media output may be combined. Input and output are stored in persistent cells that may be edited in-place. The plain text documents, called notebooks, record and distribute the results of the rich computations. Saved files in the notebook can be put under version control and shared with colleagues.

Proper citation: IPython Notebook (RRID:SCR_013984) Copy   

•   Source: SciCrunch Registry

http://www.cytobank.org/index.html

A cloud-based platform which allows users to analyze, visualize, and archive multiparamter cytometry data for single-cell biology. Multiple single-cell data sets can be analyzed and visualized simultaneously with a variety of graphics, inlcuding Sunburst, SPADE, and viSNE. Users can store and back up related data such as protocols, microscopy images, and presentations and collaborate and share analysis and data sets with other Cytobank users. Cytobank also provides a variety of services and training sessions to assist with experiment workflow.

Proper citation: Cytobank (RRID:SCR_014043) Copy   

•   Source: SciCrunch Registry

http://www.sci.utah.edu/cibc-research/highlights/24-research-highlights/cibc-highlights/221-scirun-biopse.html

A simulation software package which hosts a collection of algorithms used to run bioelectric field simulations inside of SCIRun. The software provided in the package may be used for geometric modeling, simulation, and visualization for solving bioelectric field problems.

Proper citation: BioPSE (RRID:SCR_014044) Copy   

•   Source: SciCrunch Registry

http://www.statcrunch.com

A web application which allows users to collect data, perform complex analyses, and generate results. Users can upload data sets from their computer or from the internet for data analysis and graph creation which can be saved, printed, and downloaded. More than 15,000 statistical data sets are available.

Proper citation: StatCrunch (RRID:SCR_013992) Copy   

•   Source: SciCrunch Registry

https://www.wakari.io

A web application which performs Python data analysis. Users can create IPython notebooks to hold uploaded data and use various tools to describe, analyze, and visualize the data. Notebooks, data, and Anaconda environments can be shared as "bundles" with other users, who can edit and download them.

Proper citation: Wakari (RRID:SCR_013995) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/chembl/

Collection of bioactive drug-like small molecules that contains 2D structures, calculated properties and abstracted bioactivities. Used for drug discovery and chemical biology research. Clinical progress of new compounds is continuously integrated into the database.

Proper citation: ChEMBL (RRID:SCR_014042) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/iterdrwsp/

Software which aims to better estimate the neuronal activation of an individual using the results of an independent component analysis (ICA) method applied to a temporally concatenated group of functional magnetic resonance imaging (fMRI) data (i.e., Tc-GICA method). This approach employs iterative LS solutions to refine both the individual SPs and TCs with an additional a priori assumption of sparseness in the SPs (i.e., minimally overlapping SPs) based on L(1)-norm minimization.

Proper citation: Iterative dual-regression with sparse prior (RRID:SCR_014128) Copy   

•   Source: SciCrunch Registry

http://actimetrics.com/products/limelight/

A video tracking system designed for high-throughput behavioral experiments. LimeLight can track up to 4 arenas at once and can collect images at up to 30 frames per second for one animal or up to 8 frames per second when tracking 4 arenas at once. The tracking system has 2 different hardware configurations: the 1-camera system can be used to record 1 to 4 animals at once, while for multiple animals, each one is placed in a separate arena in one quadrant of the image. The software contains productivity features such as flexible arena setup, user-defined behavior scoring, stimulus control, and various analytical functions for quantifying behavior. The program is designed for experiments such as Open Field, Plus Maze, Radial Arm Maze, Zero Maze, Novel Object Recognition, Conditioned Place Preference, and Barnes Maze.

Proper citation: Limelight (RRID:SCR_014254) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/l-neuron

A program which creates anatomically realistic virtual neurons using the formalism of the Lyndenmayer systems to implement sets of neuroanatomical rules discovered by several research groups. The program algorithms read in experimental data - in the form of statistical distributions - to generate virtual structures. L-Neuron samples the values of the parameters within these statistical distributions in a stochastic (random) fashion during dendritic growth.

Proper citation: L-Neuron (RRID:SCR_014132) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/lwdp/

A lightweight framework for setting up dependency-driven processing pipelines. The tool is essentially a configurable shell script (sh/bash), which can be included in other scripts and primarily provides a small number of utility functions for dependency checking and NFS-safe file locking for cluster processing.

Proper citation: Lightweight Data Pipeline (RRID:SCR_014135) Copy   

•   Source: SciCrunch Registry

http://www.lsm.tugraz.at/csim/

Software tool for simulating heterogeneous networks composed of different model neurons and synapses. CSIM simulates networks containing up to a few thousand neurons and up to the order of 1.000.000 synapses. It is capable of supporting different levels of modeling and has an object oriented design. A user manual is available on the site.

Proper citation: CSIM (RRID:SCR_014256) Copy   

•   Source: SciCrunch Registry