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://pvactools.readthedocs.io/en/latest/
Software toolkit to identify and visualize cancer neoantigens. Cancer immunotherapy tools suite consisting of following tools: pVACseq as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from VCF file; pVACbind as cancer immunotherapy pipeline for identifying and prioritizing neoantigens from FASTA file; pVACfuse as tool for detecting neoantigens resulting from gene fusions; pVACvector as tool designed to aid specifically in construction of DNA-based cancer vaccines; pVACview as application based on R Shiny that assists users in reviewing, exploring and prioritizing neoantigens from results of pVACtools processes for personalized cancer vaccine design.
Proper citation: pVACtools (RRID:SCR_025435) 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/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/compgenomics/MeTPeak
Software package for finding the location of m6A sites in MeRIP-seq data.
Proper citation: MeTPeak (RRID:SCR_026533) Copy
https://github.com/broadinstitute/ichorCNA
Software tool that quantifies tumor content in cfDNA from 0.1× coverage whole-genome sequencing data without prior knowledge of tumor mutations. Used to simultaneously segment genome, predict large scale copy number alterations, and estimate tumor fraction of ultra low pass whole genome sequencing sample.
Proper citation: ichorCNA (RRID:SCR_024768) Copy
https://github.com/AMICI-dev/AMICI/
Software toolbox implemented in C++/Python/MATLAB that provides efficient simulation and sensitivity analysis routines tailored for scalable, gradient-based parameter estimation and uncertainty quantification. Used for high-performance sensitivity analysis for large ordinary differential equation models.
Proper citation: AMICI (RRID:SCR_026913) Copy
https://github.com/QTIM-Lab/DeepNeuro
Software Python package for neuroimaging data. Framework to design and train neural network architectures. Used in medical imaging community to ensure consistent performance of networks across variable users, institutions, and scanners.
Proper citation: DeepNeuro (RRID:SCR_016911) Copy
https://github.com/plaisier-lab/sygnal
Software pipeline to integrate correlative, causal and mechanistic inference approaches into unified framework that systematically infers causal flow of information from mutations to TFs and miRNAs to perturbed gene expression patterns across patients. Used to decipher transcriptional regulatory networks from multi-omic and clinical patient data. Applicable for integrating genomic and transcriptomic measurements from human cohorts.
Proper citation: SYGNAL (RRID:SCR_023080) Copy
https://github.com/Shenhav-and-Korem-labs/SCRuB
Software R package to help researchers address common issue of contamination in microbial studies. Well aware MiSeq decontamination program.
Proper citation: SCRuB (RRID:SCR_023518) Copy
https://github.com/qianli10000/mtradeR
Software R package implements Joint model with Matching and Regularization and simulation pipeline. Used to test association between taxa and disease risk, and adjusted for correlated taxa screened by pre-selection procedure in abundance and prevalence, individually.
Proper citation: mtradeR (RRID:SCR_022977) Copy
https://github.com/genome/bam-readcount
Software tool that runs on BAM or CRAM file and generates low level information about sequencing data at specific nucleotide positions. Its outputs include observed bases, readcounts, summarized mapping and base qualities, strandedness information, mismatch counts, and position within the reads.
Proper citation: bam readcount (RRID:SCR_023653) Copy
https://www.robotreviewer.net/
Software tool as machine learning system that automatically assesses bias in clinical trials. From PDF formatted trial report determines risks of bias for domains defined by Cochrane Risk of Bias (RoB) tool, and extracts supporting text for these judgments.
Proper citation: Robot Reviewer (RRID:SCR_018961) Copy
https://github.com/humanlongevity/HLA
Software tool for fast and accurate HLA typing from short read sequence data. Iteratively refines mapping results at amino acid level to achieve four digit typing accuracy for both class I and II HLA genes, taking only 3 min to process 30× whole genome BAM file on desktop computer.
Proper citation: xHLA (RRID:SCR_022277) Copy
https://github.com/RabadanLab/arcasHLA
Software tool for high resolution HLA typing from RNAseq. Fast and accurate in silico inference of HLA genotypes from RNA-seq.
Proper citation: arcasHLA (RRID:SCR_022286) Copy
https://github.com/caleblareau/mgatk
Software python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. This package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.
Proper citation: mgatk (RRID:SCR_021159) Copy
https://github.com/dpeerlab/phenograph
Software tool as clustering method designed for high dimensional single cell data. Algorithmically defines phenotypes in high dimensional single cell data. Used for large scale analysis of single cell heterogeneity.
Proper citation: Phenograph (RRID:SCR_016919) Copy
http://cancer.osu.edu/Pages/index.aspx
As the Midwest''s first and Ohio''s only fully dedicated cancer hospital and research institute, The Ohio State University Comprehensive Cancer CenterArthur G. James Cancer Hospital and Solove Research Institute (OSUCCC-James) is one of the nation''s premier cancer centers for the prevention, detection and treatment of cancer. The OSUCCC-James is one of only 40 centers in the United States designated by the National Cancer Institute a Comprehensive Cancer Center. In addition, the OSUCCC-James is a founding member of the National Comprehensive Cancer Network (NCCN), an alliance of 21 of the world''s leading cancer centers that develops clinical practice guidelines to improve the quality and effectiveness of care provided to patients with cancer. The Ohio State cancer program is part of The Ohio State University, the largest public university in the nation. We are affiliated with The Ohio State University Medical Center, one of the largest and most diverse academic medical centers in the nation and the only academic medical center in central Ohio. The cancer program at Ohio State encompasses more than 200 comprehensive cancer center members from 13 of the 18 colleges at The Ohio State University and includes physicians from 16 specialties. The OSUCCCJames'' singular focus on cancer has led to multiple accomplishments that have changed the standards of care with respect to prevention, diagnosis and treatment, in a way that substantially improves outcomes for cancer patients.
Proper citation: OSUCCC-James (RRID:SCR_004790) Copy
Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available.
Proper citation: Protein Data Bank Markup Language (RRID:SCR_005085) Copy
A free, open source software package for visualization and image analysis including registration, segmentation, and quantification of medical image data. Slicer provides a graphical user interface to a powerful set of tools so they can be used by end-user clinicians and researchers alike. 3D Slicer is natively designed to be available on multiple platforms, including Windows, Linux and Mac Os X. Slicer is based on VTK (http://public.kitware.com/vtk) and has a modular architecture for easy addition of new functionality. It uses an XML-based file format called MRML - Medical Reality Markup Language which can be used as an interchange format among medical imaging applications. Slicer is primarily written in C++ and Tcl.
Proper citation: 3D Slicer (RRID:SCR_005619) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 11, 2016. Repository of brain-mapping data (surfaces and volumes; structural and functional data) derived from studies including fMRI and MRI from many laboratories, providing convenient access to a growing body of neuroimaging and related data. WebCaret is an online visualization tool for viewing SumsDB datasets. SumsDB includes: * data on cerebral cortex and cerebellar cortex * individual subject data and population data mapped to atlases * data from FreeSurfer and other brainmapping software besides Caret SumsDB provides multiple levels of data access and security: * Free (public) access (e.g., for data associated with published studies) * Data access restricted to collaborators in different laboratories * Owner-only access for work in progress Data can be downloaded from SumsDB as individual files or as bundles archived for offline visualization and analysis in Caret WebCaret provides online Caret-style visualization while circumventing software and data downloads. It is a server-side application running on a linux cluster at Washington University. WebCaret "scenes" facilitate rapid visualization of complex combinations of data Bi-directional links between online publications and WebCaret/SumsDB provide: * Links from figures in online journal article to corresponding scenes in WebCaret * Links from metadata in WebCaret directly to relevant online publications and figures
Proper citation: SumsDB (RRID:SCR_002759) 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.