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 36 showing 701 ~ 720 out of 1,019 results
Snippet view Table view Download Top 1000 Results
Click the to add this resource to a Collection
  • RRID:SCR_017045

    This resource has 10+ mentions.

https://github.com/dgrun/RaceID

Algorithm for identification of rare and abundant cell types from single cell transcriptome data. Based on transcript counts obtained with unique molecular identifies. Used for discovering rare cell types and corresponding marker genes in healthy and diseased organs. Operating system Unix/Linux, Mac OS, Windows.

Proper citation: RaceID (RRID:SCR_017045) Copy   


  • RRID:SCR_017052

    This resource has 100+ mentions.

https://bioconductor.org/packages/release/bioc/html/goseq.html

Software application for performing Gene Ontology analysis on RNAseq data and other length biased data. Used to reduce complexity and highlight biological processes in genome wide expression studies.

Proper citation: Goseq (RRID:SCR_017052) Copy   


  • RRID:SCR_017027

    This resource has 1+ mentions.

https://git.ufz.de/iTox/toxprofileR

Software R package to derive toxicogenomic fingerprints from microarray data.

Proper citation: toxprofileR (RRID:SCR_017027) Copy   


  • RRID:SCR_017026

    This resource has 10+ mentions.

https://www.agilent.com/en/products/software-informatics/masshunter-suite/masshunter-for-life-science-research/profinder-software

Software tool as fast, batch processing feature extraction software for differential analysis that supports data from Agilent GC/MSD, GC/Q-TOF, LC/TOF and LC/Q-TOF instruments. Speeds up differential and flux analysis workflows using intuitive user interface. Used to analyze raw mass spectrometry data, choose peaks.

Proper citation: Profinder (RRID:SCR_017026) Copy   


  • RRID:SCR_017023

    This resource has 1+ mentions.

https://www.bruker.com/pt/products/mr/epr/epr-software/winepr/overview.html

Software tool to operate the EMX series of spectrometers by Bruker. Provides rapid data analysis of 1D and 2D data sets, provides environment for acquisition and processing of CW-EPR and CW-ENDOR spectra with the EMXplus and EMXmicro series of spectrometers.

Proper citation: Bruker WinEPR program (RRID:SCR_017023) Copy   


  • RRID:SCR_017036

    This resource has 100+ mentions.

https://combine-lab.github.io/salmon/

Software tool for quantifying expression of transcripts using RNA-seq data. Provides fast and bias-aware quantification of transcript expression. Transcriptome-wide quantifier to correct for fragment GC-content bias.

Proper citation: Salmon (RRID:SCR_017036) Copy   


  • RRID:SCR_017039

    This resource has 1+ mentions.

https://github.com/fmaguire/Bridger_Assembler

Software package as de novo trascriptome assembler for RNA-Seq data. Framework for de novo transcriptome assembly using RNA-seq data. Can assemble all transcripts from short reads without using reference. Input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Operating system Unix/Linux.

Proper citation: Bridger (RRID:SCR_017039) Copy   


  • RRID:SCR_017033

    This resource has 10+ mentions.

https://pcago.bioinf.uni-jena.de/

Interactive web service for analysis of RNA-Seq read count data with principal component analysis (PCA) and agglomerative clustering. Includes features like read count normalization, filtering read counts by gene annotation and visualization options.

Proper citation: PCAGO (RRID:SCR_017033) Copy   


  • RRID:SCR_017244

    This resource has 1+ mentions.

https://github.com/dgrun/FateID

Software R package for inference of cell fate bias from single cell RNA-seq data. Iterative supervised learning algorithm for probabilistic quantification of cell fate bias in progenitor populations.

Proper citation: FateID (RRID:SCR_017244) Copy   


  • RRID:SCR_017128

Ratings or validation data are available for this resource

https://www.zurich.ibm.com/cellcycletracer/

Software tool as supervised machine learning algorithm that classifies and sorts single cell mass cytometry data according to their cell cycle, which allows to correct for cell cycle state and cell volume heterogeneity. Reveals signaling relationships and cell heterogeneity that were otherwise masked. Computational method to quantify cell cycle and cell volume variability.

Proper citation: CellCycleTRACER (RRID:SCR_017128) Copy   


  • RRID:SCR_017248

    This resource has 1+ mentions.

https://github.com/jefferis/nat

Software R package for 3D visualisation and analysis of biological image data, especially tracings of single neurons.

Proper citation: NeuroAnatomy Toolbox (RRID:SCR_017248) Copy   


  • RRID:SCR_017136

https://panoramaweb.org/project/home/begin.view?

Repository software for targeted mass spectrometry assays from Skyline. Targeted proteomics knowledge base. Public repository for quantitative data sets processed in Skyline. Facilitates viewing, sharing, and disseminating results contained in Skyline documents.

Proper citation: PanoramaWeb (RRID:SCR_017136) Copy   


  • RRID:SCR_017257

    This resource has 1+ mentions.

https://github.com/powellgenomicslab/ascend

Software R package for analysis of single cell RNA-seq expression, normalization and differential expression data. Provides framework to perform cell and gene filtering, quality control, normalization, dimension reduction, clustering, differential expression, and visualization functions.

Proper citation: ascend (RRID:SCR_017257) Copy   


  • RRID:SCR_017135

    This resource has 100+ mentions.

https://proteomics.cancer.gov/programs/cptac

Clinical proteomic tumor analysis consortium to systematically identify proteins that derive from alterations in cancer genomes and related biological processes, in order to understand molecular basis of cancer that is not possible through genomics and to accelerate translation of molecular findings into clinic. Operates through Proteome Characterization Centers, Proteogenomic Translational Research Centers, and Proteogenomic Data Analysis Centers. CPTAC investigators collaborate, share data and expertise across consortium, and participate in consortium activities like developing standardized workflows for reproducible studies.

Proper citation: CPTAC (RRID:SCR_017135) Copy   


http://www.nitrc.org/projects/vini/

Software Python tool as viewer for MRI data and numpy arrays.

Proper citation: vini: A viewer for fMRI data (RRID:SCR_017250) Copy   


  • RRID:SCR_017254

    This resource has 1000+ mentions.

http://www.iqtree.org/

Software tool as stochastic algorithm for estimating maximum likelihood phylogenies. Used for phylogenomic inference.

Proper citation: IQ-TREE (RRID:SCR_017254) Copy   


  • RRID:SCR_017219

    This resource has 1+ mentions.

http://research.mssm.edu/integrative-network-biology/Software.html

Software tool as probabilistic multi omics data matching procedure to curate data, identify and correct data annotation and errors in large databases. Used to check potential labeling errors in profiles where number of cis relationships is small, such as miRNA and RPPA profiles.

Proper citation: proMODMatcher (RRID:SCR_017219) Copy   


https://cf.gu.se/english/bioinformatics

Core assists with statistical and bioinformatics consultation and data analysis.

Proper citation: University of Gothenburg Bioinformatics Core Facility (RRID:SCR_017189) Copy   


  • RRID:SCR_017222

    This resource has 10+ mentions.

https://github.com/Neural-Systems-at-UIO/MeshView-for-Brain-Atlases

Web application for real time 3D display of surface mesh data representing structural parcellations and generation of user defined cut planes from volumetric atlases.

Proper citation: MeshView (RRID:SCR_017222) Copy   


  • RRID:SCR_017226

    This resource has 100+ mentions.

https://github.com/aidenlab/juicer.git

Software platform for analyzing kilobase resolution Hi-C data. Open source tool for analyzing terabase scale Hi-C datasets. Allowes to transform raw sequence data into normalized contact maps.

Proper citation: Juicer (RRID:SCR_017226) 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