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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.
https://github.com/PetaVision/OpenPV
Open source software neural simulation toolbox. C++ library for designing and deploying large scale neurally inspired computational models. Object oriented neural simulation toolbox optimized for high performance multi core, multi node computer architectures.
Proper citation: PetaVision (RRID:SCR_017451) Copy
Web tool to classify citation statements from scientific articles using deep learning. Used for discovering and evaluating scientific articles via Smart Citations.
Proper citation: scite (RRID:SCR_018568) Copy
https://github.com/denisecailab/minian
Software miniscope analysis pipeline that requires low memory and computational demand so it can be run without specialized hardware. Offers interactive visualization that allows users to see how parameters in each step of pipeline affect output.
Proper citation: Minian (RRID:SCR_022601) Copy
https://github.com/Cai-Lab-at-University-of-Michigan/nTracer
Software tool as plug-in for ImageJ software. Used for tracing microscopic images.
Proper citation: nTracer (RRID:SCR_023032) Copy
https://github.com/compbiolabucf/APA-Scan
Software Python tool for detection and visualization of annotated and potential alternative polyadenylation events in downstream 3'-UTR of gene among two different biological conditions. Used for detection and visualization of 3'-UTR alternative polyadenylation with RNA-seq and 3'-end-seq data.
Proper citation: APA-Scan (RRID:SCR_022974) Copy
Software tool to detect differential alternative splicing events from RNA-Seq data. Calculates P-value and false discovery rate that difference in isoform ratio of gene between two conditions exceeds given user-defined threshold. From RNA-Seq data can automatically detect and analyze alternative splicing events corresponding to all major types of alternative splicing patterns. Handles replicate RNA-Seq data from both paired and unpaired study design.
Proper citation: rMATS (RRID:SCR_023485) Copy
https://github.com/wlloyduw/ContainerProfiler
Software tool supports profiling resource utilization including CPU, memory, disk, and network metrics of containerized tasks. Resource utilization metrics are obtained across three levels: virtual machine (VM)/host, container, and process. Implementation leverages facilities provided by Linux operating system that is integral with Docker containers.
Proper citation: ContainerProfiler (RRID:SCR_023770) Copy
Web tool to predict order and disorder from amino acid sequence. Used to predict of natural disordered regions in proteins.
Proper citation: PONDR (RRID:SCR_023691) Copy
http://mummer.sourceforge.net/
Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.
Proper citation: MUMmer (RRID:SCR_018171) Copy
https://geodacenter.github.io/
Software program for spatial analysis for non geographic information systems specialists. Includes functionality ranging from simple mapping to exploratory data analysis, visualization of global and local spatial autocorrelation, and spatial regression.
Proper citation: GeoDa (RRID:SCR_018559) Copy
Software toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks. Web tool for describing molecular structure of macromolecular complexes, including non canonical monomeric forms, circular topologies, and crosslinks. Describes semantic meaning of whole cell computational models.
Proper citation: BcForms (RRID:SCR_018654) Copy
Web server provides functional and structural information about proteins from their evolutionary record using methods from statistical physics. Computes evolutionary couplings from sequence alignments and predicts 3D structure for your protein of interest. Allows to run former EVcouplings, EVmutation, EVfold and EVcomplex jobs.
Proper citation: Evolutionary Couplings Server (RRID:SCR_018745) Copy
Provides data integrity using blockchain. Used for protecting integrity and provenance of research data.Open science chain utilizes distributed ledger technology (consortium blockchain) to securely store information about scientific data including its provenance to enable independent verification of its authenticity to establish trust in the research community.
Proper citation: Open Science Chain (RRID:SCR_018773) Copy
http://scratch.proteomics.ics.uci.edu/
Web tool as sequence-based, alignment-free and pathogen-independent predictor of protein antigenicity.Predicts likelihood that protein is protective antigen. Integrated in SCRATCH suite of predictors.
Proper citation: ANTIGENpro (RRID:SCR_018779) Copy
https://github.com/KarrLab/de_sim
Software object oriented discrete event simulation tool for complex, data driven modeling. Open source, Python based object oriented discrete event simulation tool that makes it easy to use large, heterogeneous datasets and high level data science tools such as NumPy, Scipy, pandas, and SQLAlchemy to build and simulate complex computational models.
Proper citation: DE-Sim (RRID:SCR_018770) Copy
https://github.com/oushujun/LTR_FINDER_parallel
Software tool for parallelization of LTR_FINDER enabling rapid identification of long terminal repeat retrotransposons.
Proper citation: LTR_FINDER_parallel (RRID:SCR_018969) Copy
https://bioweb.pasteur.fr/packages/pack@[email protected]
Open source software tool for analysing trace files generated by Bayesian MCMC runs. Software package for visualising and analysing MCMC trace files generated through Bayesian phylogenetic inference. Provides kernel density estimation, multivariate visualisation, demographic trajectory reconstruction, conditional posterior distribution summary and more.
Proper citation: Tracer (RRID:SCR_019121) Copy
https://github.com/wyp1125/MCScanx
Software toolkit for detection and evolutionary analysis of gene synteny and collinearity.
Proper citation: MCScanX (RRID:SCR_022067) Copy
http://scholarometer.indiana.edu/
Scholarometer (beta) is a social tool to facilitate citation analysis and help evaluate the impact of an author''s publications. It is a social (crowdsourcing) application that leverages the wisdom of the crowds. Scholarometer makes visualization of author and discipline networks available on the web site. It requires users to tag their queries with one or more discipline names, choosing from predefined ISI subject categories or arbitrary tags. This generates annotations that go into a database, which collects statistics about the various disciplines, such as average number of citations per paper, average number of papers per authors, etc. This data is publicly available. Scholarometer users can save the finding into formats appropriate for local reference management software (e.g., EndNote), or for social publication sharing systems (e.g., BibSonomy). Currently, our system supports the following export formats: BibTex (BIB), RefMan (RIS), EndNote (ENW), comma-separated values (CSV), tab-separated values (XLS), and BibJSON. Export data is dynamically generated in response to any filter, merge or delete actions performed by the user. Since Scholarometer is a browser extension that provides a smart interface for Google Scholar, it does not have the limitations of server based citation analysis tools that sit between the user and Google Scholar. At the same time Scholarometer is not an application, such as Publish or Perish, and therefore it is platform independent and runs on every system that supports the Firefox or the Chrome browser. Still, Scholarometer uses Google Scholar, which provides the most comprehensive source of citation data across the sciences and social sciences. Scholarometer provides a RESTful web API so that other developers can make use of our crowdsourced data. Select the method on the left panel to see corresponding documentation. The extension/add-on code is available in the Mozilla Firefox Add-ons and Google Chrome Extensions repositories. Additional server-side code is not available at this time.
Proper citation: Scholarometer (RRID:SCR_004279) Copy
A distributed framework and cyberinfrastructure for open, persistent, and secure access to Earth observational data. It ensures the preservation, access, use and reuse of multi-scale, multi-discipline, and multi-national science data via three primary cyberinfrastucture elements and a broad education and outreach program. The DataONE Investigator Toolkit is a collection of software tools for finding, using, and contributing data in DataONE. DataONE currently hosts three Coordinating Nodes that provide network-wide services to enhance interoperability of the Member Nodes and support indexing and replication services. Coordinating Nodes provide a replicated catalog of Member Node holdings and make it easy for scientists to discover data wherever they reside, also enabling data repositories to make their data and services more broadly available to the international community. DataONE Coordinating Nodes are located at the University of New Mexico, the University of California Santa Barbara and at the University of Tennessee (in collaboration with Oak Ridge National Laboratory). DataONE comprises a distributed network of data centers, science networks or organizations. These organizations can expose their data within the DataONE network through the implementation of the DataONE Member Node service interface. In addition to scientific data, Member Nodes can provide computing resources, or services such as data replication, to the DataONE community.
Proper citation: DataONE (RRID:SCR_003999) Copy
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