Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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://past.en.lo4d.com/windows
Software package for education and data analysis. Used for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy.
Proper citation: PAST (RRID:SCR_019129) Copy
http://msquant.sourceforge.net/
Software tool for quantitative proteomics,mass spectrometry and processes spectra and LC runs to find quantitative information about proteins and peptides. Though automated it also allows manual inspection and change.Entry in MSQuant is Mascot search engine.
Proper citation: MSQuant (RRID:SCR_019206) Copy
https://bioconductor.org/packages/biomaRt/
Software package that integrates BioMart data resources with data analysis software in Bioconductor. Can annotate range of gene or gene product identifiers including Entrez Gene and Affymetrix probe identifiers with information such as gene symbol, chromosomal coordinates, Gene Ontology and OMIM annotation. Enables retrieval of genomic sequences and single nucleotide polymorphism information, which can be used in data analysis.
Proper citation: biomaRt (RRID:SCR_019214) Copy
https://CRAN.R-project.org/package=GOplot
Software R package for visually combining expression data with functional analysis.
Proper citation: GOplot (RRID:SCR_024419) Copy
https://github.com/Tarskin/LaCyTools
Software high throughput data extraction package for LC-MS data.Targeted Liquid Chromatography-Mass Spectrometry data processing package for relative quantitation of glycopeptides.
Proper citation: LaCyTools (RRID:SCR_024525) Copy
https://CRAN.R-project.org/package=geepack
Software R package implements generalized estimating equations for parameters in mean, scale, and correlation structures, through mean link, scale link, and correlation link. Can handle clustered categorical responses. Used for fitting marginal generalized linear models to clustered data.
Proper citation: geepack (RRID:SCR_024510) Copy
https://cran.r-project.org/web/packages/dagitty/
Software R package provides access to all of the capabilities of DAGitty web application for drawing and analysing Directed Acyclic Graphs within the R platform for statistical computing. Used for graphical analysis of structural causal models.
Proper citation: DAGitty (RRID:SCR_024509) Copy
https://github.com/ekmolloy/fastmulrfs
Software pipeline for estimating species trees from multi copy gene trees.
Proper citation: FastMulRFS (RRID:SCR_024505) Copy
http://www.cs.cmu.edu/~durand/Notung/
Software package to facilitate large scale analysis, using both rooted and unrooted trees.Used for dating gene duplications and optimizing gene family trees.Used for inferring duplication dates from gene trees automatically and can also be used as exploratory analysis tool for evaluating alternative hypotheses.
Proper citation: NOTUNG (RRID:SCR_024484) Copy
https://CRAN.R-project.org/package=CMplot
Software drawing R package designed for Manhattan plot of genomic analysis.
Proper citation: CMplot (RRID:SCR_024514) Copy
https://github.com/PoisonAlien/Maftools
Software R package offers multitude of analysis and visualization modules that are commonly used in cancer genomic studies, including driver gene identification, pathway, signature, enrichment, and association analyses. Maftools requires somatic variants in Mutation Annotation Format (MAF) and is independent of larger alignment files.
Proper citation: maftools (RRID:SCR_024519) Copy
http://srv00.recas.ba.infn.it/ASPicDB/
A database to access reliable annotations of the alternative splicing pattern of human genes, obtained by ASPic algorithm (Castrignano et al. 2006), and to the functional annotation of predicted isoforms. Users may select and extract specific sets of data related to genes, transcripts and introns fulfilling a combination of user-defined criteria. Several tabular and graphical views of the results are presented, providing a comprehensive assessment of the functional implication of alternative splicing in the gene set under investigation. ASPicDB also includes information on tissue-specific splicing patterns of normal and cancer cells, based on available EST data and their library source annotation.
Proper citation: ASPicDB (RRID:SCR_002102) Copy
Software suite of interoperable software tools designed for global community of public health practitioners and researchers. Provides easy data entry form and database construction, customized data entry experience, and data analysis with epidemiologic statistics, maps, and graphs for public health professionals who may lack information technology background.Statistical software for epidemiology developed by Centers for Disease Control and Prevention in Atlanta, Georgia. Available for Microsoft Windows, Android and iOS, along with web and cloud version.
Proper citation: Epi Info (RRID:SCR_021682) Copy
https://business-lounge.heidelbergengineering.com/de/de/products/heidelberg-eye-explorer/
Platform that centralizes management of ophthalmic images. HEYEX interfaces with electronic medical record systems and third-party devices to allow exchange, storage, and dynamic review of diagnostic images. Heidelberg Engineering imaging products use Heidelberg Eye Explorer software platform and database to store patient information and images.
Proper citation: Heidelberg Eye Explorer (RRID:SCR_022045) Copy
http://www.mathworks.com/products/matlab/
Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.
Proper citation: MATLAB (RRID:SCR_001622) Copy
Open source Java based image processing software program designed for scientific multidimensional images. ImageJ has been transformed to ImageJ2 application to improve data engine to be sufficient to analyze modern datasets.
Proper citation: ImageJ (RRID:SCR_003070) Copy
http://www.project-redcap.org/
Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions.
Proper citation: REDCap (RRID:SCR_003445) Copy
Software tool as computational predictor of mammalian m(6)A site. Used for prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.
Proper citation: SRAMP (RRID:SCR_024500) Copy
http://rna.tbi.univie.ac.at//cgi-bin/RNAWebSuite/RNAfold.cgi
Web server predict secondary structures of single stranded RNA or DNA sequences.
Proper citation: RNAfold (RRID:SCR_024427) Copy
https://nano-measurer.software.informer.com/
Software tool to process micrograph images for particle size.
Proper citation: Nano Measurer (RRID:SCR_024493) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within RRID that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.