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.
http://www.bioconductor.org/packages/release/bioc/html/flowViz.html
Software that provides visualization tools for flow cytometry data.
Proper citation: flowViz (RRID:SCR_002075) Copy
https://www.bioconductor.org/packages//2.11/bioc/html/flowQB.html
A fully automated R Bioconductor package to calculate automatically the detector efficiency (Q), optical background (B) and intrinsic CV of the beads.
Proper citation: flowQB (RRID:SCR_002144) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowFit.html
A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.
Proper citation: flowFit (RRID:SCR_002286) Copy
http://www.bioconductor.org/packages/2.13/bioc/html/spliceR.html
An easy-to-use R package for classification of alternative splicing and prediction of coding potential from RNA-seq data.
Proper citation: spliceR (RRID:SCR_002280) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowPlots.html
Software for analysis plots and data class for gated flow cytometry data.
Proper citation: flowPlots (RRID:SCR_002177) Copy
http://www.bioconductor.org/packages/release/bioc/html/flowCore.html
A Bioconductor software package for high throughput flow cytometry that provides S4 data structures and basic functions.
Proper citation: flowCore (RRID:SCR_002205) Copy
Software R-package for running gene set analysis using various statistical methods, from different gene level statistics and a wide range of gene-set collections. The Piano package contains functions for combining the results of multiple runs of gene set analyses.
Proper citation: Piano (RRID:SCR_003200) Copy
http://www.bioconductor.org/packages/release/bioc/html/ddCt.html
Software package providing an approximation method to determine relative gene expression with quantitative real-time PCR (qRT-PCR) experiments. It requires no standard curve for each primer-target pair, therefore reducing the working load and yet returning accurate enough results as long as the assumptions of the amplification efficiency hold. The package implements a pipeline to collect, analyze and visualize qRT-PCR results, for example those from TaqMan SDM software, mainly using the ddCt method. The pipeline can be either invoked by a script in command-line or through the API consisting of S4-Classes, methods and functions.
Proper citation: ddCt (RRID:SCR_003396) Copy
http://www.bioconductor.org/packages/release/bioc/html/ggbio.html
An R package for extending the grammar of graphics for genomic data. The graphics are designed to answer common scientific questions, in particular those often asked of high throughput genomics data. All core Bioconductor data structures are supported, where appropriate. The package supports detailed views of particular genomic regions, as well as genome-wide overviews. Supported overviews include ideograms and grand linear views. High-level plots include sequence fragment length, edge-linked interval to data view, mismatch pileup, and several splicing summaries.
Proper citation: ggbio (RRID:SCR_003313) Copy
http://www.bioconductor.org/packages/devel/bioc/html/OmicCircos.html
An R software application and package used to generate high-quality circular plots for visualizing genomic variations, including mutation patterns, copy number variations (CNVs), expression patterns, and methylation patterns.
Proper citation: OmicCircos (RRID:SCR_003292) Copy
http://bioinf.wehi.edu.au/limma/
Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.
Proper citation: LIMMA (RRID:SCR_010943) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/DNAcopy.html
Software that segments DNA copy number data using circular binary segmentation to detect regions with abnormal copy number.
Proper citation: DNAcopy (RRID:SCR_012560) Copy
http://www.bioconductor.org/packages/release/bioc/html/ExiMiR.html
R functions for the normalization of Exiqon miRNA array data.
Proper citation: ExiMiR (RRID:SCR_012753) Copy
http://www.bioconductor.org/packages/release/bioc/html/motifRG.html
Software tools for discriminative motif discovery using regression methods.
Proper citation: motifRG (RRID:SCR_012602) Copy
http://www.bioconductor.org/packages/release/bioc/html/MiRaGE.html
Software package that contains functions for inference of target gene regulation by miRNA, based on only target gene expression profile.
Proper citation: MiRaGE (RRID:SCR_012738) Copy
http://bioconductor.org/packages/release/bioc/html/DEXSeq.html
Software package focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.
Proper citation: DEXSeq (RRID:SCR_012823) Copy
http://www.bioconductor.org/packages/release/bioc/html/CexoR.html
Software for strand specific peak-pair calling in ChIP-exo replicates.
Proper citation: CexoR (RRID:SCR_012769) Copy
http://bioconductor.org/packages/edgeR/
Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.
Proper citation: edgeR (RRID:SCR_012802) Copy
http://bioconductor.org/packages/release/bioc/html/DNaseR.html
A R package that enables the identification of protein binding footprints in DNase I hypersensitive sites sequencing (DNase-seq) data.
Proper citation: DNaseR (RRID:SCR_012819) Copy
http://www.bioconductor.org/packages/release/bioc/html/tRanslatome.html
Detection of differentially expressed genes (DEGs) from the comparison of two biological conditions among different levels of gene expression, using several statistical methods: Rank Product, t-test, SAM, Limma, ANOTA, DESeq, edgeR.
Proper citation: tRanslatome (RRID:SCR_012810) 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 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.
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.
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.
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 NIF 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 NIF 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.