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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.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 23, 2013. Database for resting state functional connectivity studies. Functional connectivity has shown tremendous promise in mapping the intrinsic functional topography of the brain, evaluating neuroanatomical models, and investigating neurological and psychiatric disease. Brainscape includes a repository of public and private data and an analysis engine for exploring the correlation structure of spontaneous fluctuations in the fMRI BOLD signal. (DICOM data is the image format that can be uploaded.) With Brainscape you can upload, analyze, and share your own data. You can search for, download, and analyze studies in the repository of shared data. The analysis engine works by selecting one or more studies, typing in the coordinates of a brain region of interest, and the seed-region correlation engine computes the correlation structure across the whole brain. (T1, T2 and EPI data are the scan types Brainscape can process.) You decide who can access your data. You can keep it to yourself, share with select colleagues, or share it with everyone. The Brainscape database and analysis tools are open source and freely available.
Proper citation: Brainscape (RRID:SCR_002962) Copy
http://www.mrc-cbu.cam.ac.uk/Imaging
Portal where neuroimaging studies are carried out using a Siemens 3T Tim Trio Magnetic Resonance Imaging (or MRI) scanner that is wholly dedicated to studies in Cognitive Neuroscience. From emotions and memories to language and learning, functional neuroimaging is being applied in many different areas of Cognitive Neuroscience. In many cases, this research relies upon support from healthy volunteers although neuroimaging studies are also being conducted in various clinical populations, including depression, anxiety, Parkinson's disease and Alzheimer's disease.
Proper citation: CBU Imaging Wiki (RRID:SCR_003014) Copy
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Proper citation: Cytoscape (RRID:SCR_003032) Copy
http://www.atgc-montpellier.fr/
A bioinformatics platform that is a joint project of several South of France laboratories with available services based on their expertise, issued from their research activities which involve phylogenetics, population genetics, molecular evolution, genome dynamics, comparative and functional genomics, and transcriptome analysis. Most of the software and databases on ATGC are (co)authored by researchers from South of France teams. Some are widely used and highly cited. South of France laboratories: * CRBM (transcriptomes and stem cells). * IBC (computational biology). * MiVEGEC (evolution and phylogeny). * LGDP (plant genomics). * LIRMM (computer science). * South Green (plant genomics).
Proper citation: ATGC: Montpellier bioinformatics platform (RRID:SCR_002917) Copy
https://bioimagesuiteweb.github.io/webapp/index.html
Web applications for analysis of multimodal/multispecies neuroimaging data. Image analysis software package. Has facilities for DTI and fMRI processing. Capabilities for both neuro/cardiac and abdominal image analysis and visualization. Many packages are extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. Can be intergrated with other biomedical image processing software, such as FSL, AFNI, and SPM.
Proper citation: BioImage Suite (RRID:SCR_002986) Copy
BioPerl is a community effort to produce Perl code which is useful in biology. This toolkit of perl modules is useful in building bioinformatics solutions in Perl. It is built in an object-oriented manner so that many modules depend on each other to achieve a task. The collection of modules in the bioperl-live repository consist of the core of the functionality of bioperl. Additionally auxiliary modules for creating graphical interfaces (bioperl-gui), persistent storage in RDMBS (bioperl-db), running and parsing the results from hundreds of bioinformatics applications (Run package), software to automate bioinformatic analyses (bioperl-pipeline) are all available as Git modules in our repository. The BioPerl toolkit provides a library of hundreds of routines for processing sequence, annotation, alignment, and sequence analysis reports. It often serves as a bridge between different computational biology applications assisting the user to construct analysis pipelines. This chapter illustrates how BioPerl facilitates tasks such as writing scripts summarizing information from BLAST reports or extracting key annotation details from a GenBank sequence record. BioPerl includes modules written by Sohel Merchant of the GO Consortium for parsing and manipulating OBO ontologies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: BioPerl (RRID:SCR_002989) Copy
http://www.broadinstitute.org/gsea/
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy
http://iimcb.genesilico.pl/MetaLocGramN/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023.A tool for subcellular localization prediction of Gram-negative proteins. You can also use MetaGramLocN via SOAP. SOAP enables you to invoke our method from scripts written in your programming language of choice.
Proper citation: MetaLocGramN (RRID:SCR_003154) Copy
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/
Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) Copy
http://www.plexon.com/products/map-software
A suite of client / server programs that control spike sorting in the Multichannel Acquisition Processor (MAP) Data Acquisition System (MAP System) and provides real-time data visualization and analysis. Plexon's original program supporting multichannel data acquisition is a suite of programs referred to as the Real-Time Acquisition System Programs for Unit Timing in Neuroscience software (RASPUTIN). This combination of software and hardware enables users to view waveforms, acquire action potential waveforms around a voltage-threshold crossing, sort them in real time according to their shape, record continuous analog signals, such as field potentials, eye position, blood pressure, as well as capture external digital-event data, such as individual TTL lines or multi-bit strobed word data. RASPUTIN utilizes a client/server architecture on a Microsoft Windows operating system. The server program runs the MAP box and distributes the data among a set of cooperating client programs. The program can record analog signals and spike and digital-event data in a single data file, and supports 16, 32, 48, 64, 96 and 128 channel configurations. RASPUTIN's operation is based on two primary programs: Sort Client and MAP Server. The Sort Client is the primary control program for the MAP System hardware and may be used to adjust the MAP operating parameters (e.g., amplification, filtering) and to set the specific sorting parameters for each channel. MAP Server is the low-level interface for configuring the MAP, which transfers commands such as gain and filter changes or parameter settings from the various clients to the MAP box. MAP Server also accumulates data coming from the MAP box in a circular buffer memory. The client programs connect to MAP Server to gain access to that data. MAP Server also mediates communication between the clients, keeping them informed of commands sent to the MAP from other clients. RASPUTIN is not sold separately, but rather arrives pre-loaded on the MAP Control Computer with the purchase of any MAP System. As the MAP System has been replaced by the advanced OmniPlex D Neural Data Acquisition System, Plexon is no longer developing the RASPUTIN software program.
Proper citation: MAP Software (RRID:SCR_003170) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 24, 2013. These distribution sets contain software modules and/or data sets extracted from the Visualization and Analysis Software Tools (VAST) library developed at the Minneapolis VA Medical Center, the University of Minnesota and/or the International Consortium for Neuroimaging (INC) (partially funded by the Human Brain Project )
Proper citation: Software Distribution Sets (RRID:SCR_003465) Copy
http://www.scripps.edu/researchservices/dna_array/pages/Data_Analysis_GCOS.htm
Affymetrix has recently released a new software for the acquisition, management, and analysis of gene expression data. The new GeneChip Operating Software (GCOS) platform enables researchers to perform gene expression, SNP mapping and resequencing analysis with integrated data management and scalable client server configurations. * Compatible with additional Affymetrix analysis software such as Data Mining Tool (DMT) and GeneChip DNA Analysis Software (GDAS) * Supports Gene Expression, Resequencing and Genotyping Applications * Baseline Comparison Analysis Input: Affymetrix .DAT file Output: Affymetrix files (.CEL, .CHP, .RPT, .EXP, .TXT) Availability: The Core Facility has a copy of GCOS, as well as an older version of the Affymetrix software, Microarray Suite (MAS), available for use upon request.
Proper citation: GeneChip Operating Software (RRID:SCR_003408) Copy
International research instruments company that develops, manufactures and markets NMR and CT-based whole body composition and tissue characterization equipment.
Proper citation: EchoMRI (RRID:SCR_017104) Copy
http://www.github.com/kmuench/16p_resource
Software tool as a code to support figure generation for the manuscript by Roth, Muench et al. Used to perform analysis.
Proper citation: 16p_resource Code (RRID:SCR_016845) Copy
Web based integrative platform for transcriptional regulation studies.
Proper citation: Cistrome (RRID:SCR_000242) Copy
http://bioinfo5.ugr.es/miRanalyzer/miRanalyzer.php
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. A microRNA detection and analysis tool for next-generation sequencing experiments. The program uses a minimum match length of 17bp starting at the first base of the read. The maximum read length is set to 28bp. Reads with more than 5 matches to the genome are discarded, and if a read matches to more than 5 transcripts or Rfam entries it will be removed.
Proper citation: miRanalyzer (RRID:SCR_000163) Copy
http://www.dnastar.com/t-seqmanpro.aspx
Software for analysis and DNA sequence assembly of Sanger data. It also provides visualizations and analysis of next-gen projects assembled by SeqMan NGen.
Proper citation: Lasergene's SeqMan Pro (RRID:SCR_000283) Copy
A collection of cook-book like manuals for various microarray designs. MAGMA is a collaboration between the Norwegian Microarray Consortium NMC and MolMine AS
Proper citation: Mini Analysis Guide for Microarrays (RRID:SCR_000596) Copy
http://linus.nci.nih.gov./BRB-ArrayTools.html
A software package for the visualization and statistical analysis of DNA microarray gene expression data. The tools have been developed from the R statistical system, in C and fortran programs and Java applications. They are integrated into Excel as an add-in.
Proper citation: Biometric Research Branch: ArrayTools (RRID:SCR_000778) Copy
Software integrated tool for conducting automatic and manual sequence alignment, inferring phylogenetic trees, mining web based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses. Used for comparative analysis of DNA and protein sequences to infer molecular evolutionary patterns of genes, genomes, and species over time. MEGA version 4 expands on existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses. MEGA version 6 enables inference of timetrees, as it implements RelTime method for estimating divergence times for all branching points in phylogeny.
Proper citation: MEGA (RRID:SCR_000667) Copy
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