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://github.com/rwnull/insitu_probe_generator?tab=readme-ov-file
Code generated for use in Python to create DNA probes for use in hybridisation chain reaction, which allows for spatial resolution of mRNA expression with fluorescently tagged hairpins that bind to DNA probes. Used to generate HCR-style Probe Pairs for mRNA visualization.
Proper citation: rwnull / insitu_probe_generator (RRID:SCR_025981) Copy
https://github.com/Kizielins/q2-predict-dysbiosis/tree/master
Function-based gut microbiome health index.
Proper citation: q2-predict-dysbiosis (RRID:SCR_026038) Copy
https://github.com/kbolton-lab/ArCH
Software somatic variant calling pipeline designed to detect low variant allele fraction clonal hematopoiesjsonsis variants.
Proper citation: ArCH (RRID:SCR_025975) Copy
https://www.bioconductor.org/packages/release/bioc/html/STdeconvolve.html
Software R package as unsupervised, reference-free approach to infer latent cell-type proportions and transcriptional profiles within multi-cellular spatially-resolved pixels from spatial transcriptomics datasets.
Proper citation: STdeconvolve (RRID:SCR_025977) Copy
https://pythonvideoannotator.readthedocs.io/en/master/index.html
Software graphical application written in Python, to analyze videos and create notes for events in the video. Used to identify animals’ behaviors based on information extracted from video.
Proper citation: PythonVideoAnnotator (RRID:SCR_025868) Copy
https://github.com/mysql/mysql-server
Open source Relational Database Management System that enables users to store, manage, and retrieve structured data efficiently.
Proper citation: MySQL-server (RRID:SCR_025972) Copy
https://github.com/STAR-Fusion/STAR-Fusion
Software tool to leverage chimeric and discordant read alignments identified by STAR aligner to predict fusions. Component of Trinity Cancer Transcriptome Analysis Toolkit. Used to identify candidate fusion transcripts supported by Illumina reads. Maps junction reads and spanning reads to reference annotation set.
Proper citation: STAR-Fusion (RRID:SCR_025853) Copy
https://CRAN.R-project.org/package=pracma
Software R package provides functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Proper citation: pracma (RRID:SCR_026021) Copy
https://www.bioconductor.org/packages/release/bioc/html/methylSig.html
Software R package as whole genome DNA methylation analysis pipeline. Used for testing differentially methylated cytosines or regions in whole-genome bisulfite sequencing or reduced representation bisulfite sequencing experiments. Several options exist for either site-specific or sliding window tests, and variance estimation.
Proper citation: MethylSig (RRID:SCR_025849) Copy
https://github.com/lens-biophotonics/ZetaStitcher
Software tool designed to stitch large volumetric images such as those produced by Light-Sheet Fluorescence Microscopes.
Proper citation: ZetaStitcher (RRID:SCR_026193) Copy
https://github.com/di-0579/spatial_tri-omics
Software repository to share the raw data processing and visualization codes used in the spatial tri-omics project.
Proper citation: spatial_tri-omics (RRID:SCR_026194) Copy
Software automatic classification tool for PVS1 interpretation of null variants.
Proper citation: AutoPVS (RRID:SCR_026108) Copy
Open-source software for video capture and video processing for Microsoft Windows. Designed to process linear video streams, including filtering and recompression. It uses AVI container format to store captured video. Video capture/processing utility for 32-bit and 64-bit Windows platforms. Used for processing AVI files, although it can read (not write) MPEG-1 and also handle sets of BMP images.
Proper citation: VirtualDub (RRID:SCR_026123) Copy
https://github.com/BackofenLab/HVSeeker/tree/main
Software tool for distinguishing between bacterial and phage sequences. Consists of two separate models: one analyzing DNA sequences and the other focusing on proteins.
Proper citation: HVSeeker (RRID:SCR_026120) Copy
https://www.thegef.org/projects-operations/recipient-countries/
Provides information about family of funds for the environment. With GEF support,countries address the root causes of challenges as they strive for international environmental goals. Fund data from the Global Environment Facility.
Proper citation: Global Environment Facility (RRID:SCR_026241) Copy
https://akoyabio.github.io/phenoptr/index.html
Software R package for working with inForm data. Contains functions that make it easier to read and analyze data tables and images created by Akoya Biosciences' inForm software.
Proper citation: phenoptr (RRID:SCR_026104) Copy
https://winscp.net/eng/download.php
Free file manager, SSH File Transfer Protocol, File Transfer Protocol, WebDAV, Amazon S3, and secure copy protocol client for Microsoft Windows.
Proper citation: WinSCP (RRID:SCR_026226) Copy
https://github.com/ganlab/GALA
Softawer framework for de novo chromosome-by-chromosome assembly with long reads. Long-reads gap-free chromosome-scale assembler.
Proper citation: GALA (RRID:SCR_026184) Copy
https://CRAN.R-project.org/package=optmatch
Software package for optimal matching in R. Distance based bipartite matching using minimum cost flow, oriented to matching of treatment and control groups in observational studies. Routines are provided to generate distances from generalised linear models (propensity score matching), formulas giving variables on which to limit matched distances, stratified or exact matching directives, or calipers, alone or in combination.
Proper citation: optmatch (RRID:SCR_026185) Copy
https://github.com/dpeerlab/ENVI
Deep learnining based variational inference method to integrate scRNA-seq with spatial transcriptomics data. ENVI learns to reconstruct spatial onto for dissociated scRNA-seq data and impute unimagd genes onto spatial data.
Proper citation: ENVI (RRID:SCR_026160) 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.