Searching the RRID Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

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.

Search

Type in a keyword to search

On page 7 showing 121 ~ 140 out of 287 results
Snippet view Table view Download 287 Result(s)
Click the to add this resource to a Collection
  • RRID:SCR_000408

http://cran.r-project.org/web/packages/metaMA/

Software R package for meta-analysis for microarrays. It combines either p-values or modified effect sizes from different studies to find differentially expressed genes.

Proper citation: metaMA (RRID:SCR_000408) Copy   


  • RRID:SCR_000825

    This resource has 10+ mentions.

Issue

https://cran.r-project.org/web/packages/adegenet/index.html

Software package dedicated to the handling of molecular marker data for multivariate analysis. This package is related to ADE4, a R package for multivariate analysis, graphics, phylogeny and spatial analysis. (entry from Genetic Analysis Software)

Proper citation: ADEGENET (RRID:SCR_000825) Copy   


  • RRID:SCR_023862

    This resource has 1+ mentions.

https://CRAN.R-project.org/package=brms

Software package implements Bayesian multilevel models in R using probabilistic programming language Stan.

Proper citation: brms (RRID:SCR_023862) Copy   


  • RRID:SCR_015654

    This resource has 100+ mentions.

https://cran.r-project.org/web/packages/lme4/index.html

Software R package. Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue."

Proper citation: lme4 (RRID:SCR_015654) Copy   


  • RRID:SCR_013442

http://wpicr.wpic.pitt.edu/WPICCompGen/fdr/

Software application (entry from Genetic Analysis Software)

Proper citation: WEIGHTED FDR (RRID:SCR_013442) Copy   


  • RRID:SCR_014674

    This resource has 1+ mentions.

https://imdevsoftware.wordpress.com/imdev/

A software application of RExcel that integrates R into Excel as an embedded additon for omics tasks and analysis. It can be used specifically for tasks concerning multivariate data visualization, exploration, and analysis. imDev has interactive modules for dimensional reduction, prediction, feature selection, analysis of correlation, and generation of networked structures, all of which provide an integrated environment for systems level analysis of multivariate data.

Proper citation: imDEV (RRID:SCR_014674) Copy   


  • RRID:SCR_016961

    This resource has 10+ mentions.

https://cran.r-project.org/web/packages/devtools/index.html

Software tools to make developing R packages easier by providing R functions that simplify and expedite common tasks.

Proper citation: devtools (RRID:SCR_016961) Copy   


  • RRID:SCR_016696

    This resource has 10+ mentions.

https://cran.r-project.org/web/packages/viridis/vignettes/intro-to-viridis.html

Software package which brings to R color scales. Created for the Python matplotlib library.

Proper citation: viridis (RRID:SCR_016696) Copy   


  • RRID:SCR_009066

    This resource has 10+ mentions.

http://pbil.univ-lyon1.fr/software/mareymap/

Software application that is a meiotic recombination rate estimation program. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MAREYMAP (RRID:SCR_009066) Copy   


  • RRID:SCR_009002

    This resource has 100+ mentions.

http://research.nhgri.nih.gov/software/TRAP/

Software tool for determining a regression model of quantitative or binary trait variation when the number of possible genetic predictors is very large, considering only a moderate number of predictors at one time, using unrelated or family data. (entry from Genetic Analysis Software)

Proper citation: TRAP (RRID:SCR_009002) Copy   


  • RRID:SCR_009079

https://github.com/gaow/genetic-analysis-software/blob/master/pages/SIMULAPLOT.md

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 22, 2016. A tool designed to help visualize the joint effect of genes and continuous environmental covariates on complex human disease simulation models.

Proper citation: SIMULAPLOT (RRID:SCR_009079) Copy   


  • RRID:SCR_009142

http://www.stat.auckland.ac.nz/~browning/ccrel/ccrel.htm

Software program for case-control genetic analysis that takes relatedness between individuals into account. It will perform single-marker and haplotypic tests, however it will only work with SNP or other biallelic markers. (entry from Genetic Analysis Software)

Proper citation: CCREL (RRID:SCR_009142) Copy   


  • RRID:SCR_009326

    This resource has 500+ mentions.

http://www.sanger.ac.uk/resources/software/peer/

Software collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods. Applications of PEER have * detected batch effects and experimental confounders * increased the number of expression QTL findings by threefold * allowed inference of intermediate cellular traits, such as transcription factor or pathway activations This project offers an efficient and versatile C++ implementation of the underlying algorithms with user-friendly interfaces to R and python.

Proper citation: PEER (RRID:SCR_009326) Copy   


  • RRID:SCR_009325

http://www.pedvizapi.org/

A Java Api for the visual analysis of large and complex pedigrees that provides all the necessary functionality for the interactive exploration of extended genealogies. Available packages are mostly focused on a static representation or cannot be added to an existing application; the goal of this open-source library is to provide an application program interface that enables the efficient construction of visual analytic applications for the analysis of family based data. (entry from Genetic Analysis Software)

Proper citation: PEDVIZAPI (RRID:SCR_009325) Copy   


  • RRID:SCR_009376

    This resource has 1+ mentions.

https://cran.r-project.org/web/packages/snp.plotter/index.html

An R package that creates publishable-quality plots of p-values using single SNP and/or haplotype data. Main features of the package include options to display a linkage disequilibrium (LD) plot and the ability to plot multiple sets of results simultaneously. Plots can be created using global and/or individual haplotype p-values along with single SNP p-values. Images are created as either Portable Document Format (PDF) or Encapsulated (EPS) files. (entry from Genetic Analysis Software)

Proper citation: R/SNP.PLOTTER (RRID:SCR_009376) Copy   


  • RRID:SCR_009370

    This resource has 1+ mentions.

https://cran.r-project.org/web/packages/rmetasim/index.html

An R package that uses an individual-based approach to simulate distributions of genotypes that result from arbitrary within and among population demographies (including extinction/recolonization). These distributions can be used to test new or existing population-genetics summary statistics or develop null distributions under various demographies. (entry from Genetic Analysis Software)

Proper citation: R/METASIM (RRID:SCR_009370) Copy   


  • RRID:SCR_009361

http://research.nhgri.nih.gov/ROMPrev/

Software tool for testing for association between polymorphisms and quantitative traits, as well as estimating trait heritability and locus-specific heritability using family data. (entry from Genetic Analysis Software)

Proper citation: ROMPREV (RRID:SCR_009361) Copy   


  • RRID:SCR_009075

    This resource has 1+ mentions.

http://wpicr.wpic.pitt.edu/WPICCompGen/genomic_control/genomic_control.htm

Software application where GC implements the genomic control models. GCF implements the basic Genomic Control approach, but adjusts the p-values for uncertainty in the estimated effect of substructure. This approach is preferable if a large number of tests will be evaluated because it provides a more accurrate assessment of the significance level for small p-values. (entry from Genetic Analysis Software)

Proper citation: GC/GCF (RRID:SCR_009075) Copy   


  • RRID:SCR_009155

http://wpicr.wpic.pitt.edu/WPICCompGen/newcovibd/covibd.htm

Software application that refines linkage analysis of affected sibpairs by considering attributes or environmental exposures thought to affect disease liability. This refinement utilizes a mixture model in which a disease mutation segregates in only a fraction of the sibships, with the rest of the sibships unlinked. Covariate information is used to predict membership within the two groups corresponding to the linked and unlinked sibships. The pre-clustering model uses covariate information to first form two probabilistic clusters and then tests for excess IBD-sharing in the clusters. The Cov-IBD model determines probabilistic group membership by joint consideration of covariate and IBD values. (entry from Genetic Analysis Software)

Proper citation: COVIBD (RRID:SCR_009155) Copy   


  • RRID:SCR_024305

    This resource has 1+ mentions.

https://cran.r-project.org/package=tsne

Softare R package as implementation of the t-SNE algorithm.

Proper citation: tsne (RRID:SCR_024305) 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.

Can't find the RRID you're searching for? X
  1. Neuroscience Information Framework Resources

    Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.

  2. Navigation

    You are currently on the Community Resources tab looking through categories and sources that NIF 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.

  3. Logging in and Registering

    If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.

  4. Searching

    Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:

    1. Use quotes around phrases you want to match exactly
    2. You can manually AND and OR terms to change how we search between words
    3. You can add "-" to terms to make sure no results return with that term in them (ex. Cerebellum -CA1)
    4. You can add "+" to terms to require they be in the data
    5. Using autocomplete specifies which branch of our semantics you with to search and can help refine your search
  5. Save Your Search

    You can save any searches you perform for quick access to later from here.

  6. Query Expansion

    We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.

  7. Collections

    If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.

  8. Sources

    Here are the sources that were queried against in your search that you can investigate further.

  9. Categories

    Here are the categories present within NIF that you can filter your data on

  10. Subcategories

    Here are the subcategories present within this category that you can filter your data on

  11. Further Questions

    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.

X