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://jefferis.github.io/nat/
Software R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons in the context of 3D brain structures.
Proper citation: NeuroAnatomy Toolbox (RRID:SCR_016716) Copy
https://CRAN.R-project.org/package=rstatix
Software R package for basic statistical tests including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation analyses. Output of each test is automatically transformed into data frame to facilitate visualization. Additional functions are available for reshaping, reordering, manipulating and visualizing correlation matrix. Functions are also included to facilitate analysis of factorial experiments. Can compute several effect size metrics.Package contains helper functions for identifying univariate and multivariate outliers, assessing normality and homogeneity of variances.
Proper citation: rstatix (RRID:SCR_021240) Copy
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
http://www.cbs.dtu.dk/biotools/sequenza/
Software package for copy number estimation from tumor genome sequencing data.Tools to analyze genomic sequencing data from paired normal-tumor samples, including cellularity and ploidy estimation; mutation and copy number (allele-specific and total copy number) detection, quantification and visualization.
Proper citation: Sequenza (RRID:SCR_016662) Copy
https://cran.r-project.org/web/packages/dendsort/index.html
Software R package from CRAN as a modular leaf ordering methods for dendrogram nodes. Used as sorting methods to improve readability and interpretability of tree structure. Used for comparison of different distance measures or linkage types, identification of tight clusters and outliers, and for coupled heatmap visualization.
Proper citation: dendsort (RRID:SCR_016693) Copy
https://CRAN.R-project.org/package=biomod2
Software R package for species distribution modeling, calibration and evaluation, ensemble of models, ensemble forecasting and visualization.
Proper citation: biomod2 (RRID:SCR_018246) 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.