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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://purl.bioontology.org/ontology/FB-SP
The taxonomy of the family Drosophilidae (largely after Baechli) and of other taxa referred to in FlyBase.
Proper citation: Fly Taxonomy (RRID:SCR_003317) Copy
An ontology for describing software tools, their types, tasks, versions, provenance and data associated (the input and output data types and the uses the software can be put to).
Proper citation: Software Ontology (RRID:SCR_003493) Copy
https://bioportal.bioontology.org/ontologies/NEMO/?p=summary
Ontology that describes classes of event-related brain potentials (ERP) and their properties, including spatial, temporal, and functional (cognitive / behavioral) attributes, and data-level attributes (acquisition and analysis parameters). Its aim is to support data sharing, logic-based queries and mapping/integration of patterns across data from different labs, experiment paradigms, and modalities (EEG/MEG).
Proper citation: NEMO Ontology (RRID:SCR_003386) Copy
An open-source Java viewer for chemical structures in 3D with features for chemicals, crystals, materials and biomolecules. It is cross-platform, running on Windows, Mac OS X, and Linux/Unix systems and features an applet, application, and systems integration component.
Proper citation: Jmol (RRID:SCR_003796) Copy
http://libeep.sourceforge.net/
Software library that deals with reading and writing RIFF-format CNT/AVR-files. This file format is also called EEProbe data format, and is used in the software packages EEProbe, ASA, ASA-Lab, Cognitrace, eemagine EEG, Visor, by ANT Neuro B.V., The Netherlands. The file format provides for storage of EEG/ERP/MEG data as 32-bit values, and includes a very efficient compression algorithm. Encoding/decoding from the compressed data is performed automatically through the LIBEEP interface functions.
Proper citation: LIBEEP (RRID:SCR_009591) Copy
https://www.nitrc.org/projects/w2mhs/
An open source MATLAB toolbox designed for detecting and quantifying White Matter Hyperintensities(WMH) in Alzheimer?s and aging related neurological disorders.Our toolbox provides a self-sufficient set of tools for segmenting these WMHs reliably and further quantifying their burden for down-processing studies. WMHs arise as bright regions on T2-weighted FLAIR images. They reflect comorbid neural injury or cerebral vascular disease burden. Their precise detection is of interest in Alzheimer?s disease (AD) with regard to its prognosis.
Proper citation: Wisconsin White Matter Hyperintensities Segmentation Toolbox (RRID:SCR_009652) Copy
Software providing a data analysis pipeline for shotgun mass-spectrometry proteomics.
Proper citation: CPFP (RRID:SCR_012043) Copy
http://bionotate.sourceforge.net/
An open source annotation tool for the distributed creation of a large corpus.
Proper citation: Bionotate (RRID:SCR_012098) Copy
http://fmatoolbox.sourceforge.net
Matlab toolbox used to help analyze electrophysiological and behavioral data recorded from freely moving animals.
Proper citation: FMAToolbox (RRID:SCR_015533) Copy
http://sourceforge.net/projects/rdpframebot/
A frameshift correction and nearest neighbor classification tool for use with high-throughput amplicon sequencing. It uses a dynamic programming algorithm to align each query DNA sequence against a set of target protein sequences, produces frameshift-corrected protein and DNA sequences and an optimal global or local protein alignment. It also helps filter out non-target reads. The online version of FrameBot is available on http://fungene.cme.msu.edu/FunGenePipeline.
Proper citation: RDP FrameBot (RRID:SCR_013083) Copy
https://sourceforge.net/projects/bva-io/
Software package for interfacing the Brain Vision Analyser data files (load/save) for ongoing development of Matlab routines . This package is also compatible with the EEGLAB software, and may be uncompressed in the plugin folder of this software.
Proper citation: BVA import/export EEGLAB plugin (RRID:SCR_016333) Copy
http://bowtie-bio.sourceforge.net/recount/
RNA-seq gene count datasets built using the raw data from 18 different studies. The raw sequencing data (.fastq files) were processed with Myrna to obtain tables of counts for each gene. For ease of statistical analysis, they combined each count table with sample phenotype data to form an R object of class ExpressionSet. The count tables, ExpressionSets, and phenotype tables are ready to use and freely available. By taking care of several preprocessing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward.
Proper citation: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets (RRID:SCR_001774) Copy
Ratings or validation data are available for this resource
http://broadinstitute.github.io/picard/
Java toolset for working with next generation sequencing data in the BAM format.
Proper citation: Picard (RRID:SCR_006525) Copy
neurospy is a free software for functional imaging of fast neuronal activity. neurospy is a modular cross-platform application framework written in Java for the NetBeans Platform. At this time it runs on Windows XP-based LeCroy oscilloscopes and drives acousto-optic scanners via USB using the Analog Devices 9959 Direct Digital Synthesis chip. This combination makes one of the most powerful systems for scanning microscopy available today at any price. neurospy is very easy to port to other kinds of acquisition and scanning hardware.
Proper citation: neurospy (RRID:SCR_007016) Copy
http://cudasw.sourceforge.net/
CUDASW++ is a bioinformatics software for Smith-Waterman protein database searches that takes advantage of the massively parallel CUDA architecture of NVIDIA Tesla GPUs to perform sequence searches 10x-50x faster than NCBI BLAST. In this algorithm, we deeply explore the SIMT (Single Instruction, Multiple Thread) and virtualized SIMD (Single Instruction, Multiple Data) abstractions to achieve fast speed. This algorithm has been fully tested on Tesla C1060, Tesla C2050, GeForce GTX 280 and GTX 295 graphics cards, and has been incorporated to NVIDIA Tesla Bio Workbench. * Operating System: Linux * Programming language: CUDA and C * Other requirements: CUDA SDK and Toolkits 2.0 or higher
Proper citation: CUDASW++ (RRID:SCR_008862) Copy
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