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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://ultrascan.aucsolutions.com/
Software package for hydrodynamic data from analytical ultracentrifugation experiments. Features integrated data editing and analysis environment with portable graphical user interface. Provides resolution for sedimentation velocity experiments using high-performance computing modules for 2-dimensional spectrum analysis, genetic algorithm, and for Monte Carlo analysis.
Proper citation: UltraScan (RRID:SCR_018126) Copy
http://www.nitrc.org/projects/reprocontainers/
Software containerized environments for reproducible neuroimaging. Part of ReproNim - Center for Reproducible Neuroimaging Computation. DataLad dataset with collection of popular computational tools provided within ready to use containerized environments.
Proper citation: ReproNim/containers (RRID:SCR_018467) Copy
http://clavius.bc.edu/~clotelab/DiANNA/
Neural network and web server, which determines cysteine oxidation state and disulfide connectivity of protein, given only its amino acid sequence. Used to predict disulfide connectivity topology. Predicts which half-cystines are covalently bound to which other half-cystines. DiANNA 1.1 is extension of DiANNA web server for ternary cysteine classification.
Proper citation: DiANNA (RRID:SCR_018529) Copy
Software toolkit for unambiguously describing molecular structure of DNA, RNA, and proteins, including non-canonical monomeric forms, crosslinks, nicks, and circular topologies. Aims to help epigenomics, transcriptomics, proteomics, systems biology, and synthetic biology researchers share and integrate information about DNA modification, post-transcriptional modification, post-translational modification, expanded genetic codes, and synthetic parts.
Proper citation: BpForms (RRID:SCR_018653) Copy
Software toolkit for creating reusable datasets that are both human and machine readable, combining spreadsheets with schemas including classes, their attributes, type of each attribute, and possible relationships between instances of classes.Consists of format for describing schemas for spreadsheets, numerous data types for science, syntax for indicating class and attribute represented by each table and column in workbook, and software for using schemas to rigorously validate, merge, split, compare, and revision datasets. Used for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort.
Proper citation: ObjTables (RRID:SCR_018652) Copy
https://github.com/OHDSI/CohortMethod
Software R package for performing new user cohort studies in observational database in OMOP Common Data Model.
Proper citation: CohortMethod (RRID:SCR_018511) Copy
https://github.com/chris-mcginnis-ucsf/DoubletFinder
Software R package that predicts doublets in single cell RNA sequencing data. Doublet detection in single cell RNA sequencing data using artificial nearest neighbors. Identifies doublets using only gene expression data.
Proper citation: DoubletFinder (RRID:SCR_018771) Copy
https://rosie.graylab.jhu.edu/docking2
Unified web framework for Rosetta applications. Web interface for selected Rosetta protocols. Web front end for Rosetta software suite. Provides common user interface for Rosetta protocols, stable application programming interface for developers to add additional protocols, flexible back-end to allow leveraging of computer cluster resources shared by Rosetta Commons member institutions, and centralized administration by Rosetta Commons to ensure continuous maintenance. Offers general and speedy paradigm for serverification of Rosetta applications. Lowers barriers to Rosetta use for broader biological community.
Proper citation: ROSIE (RRID:SCR_018764) Copy
DataLad data distribution. Super dataset collating DataLad datasets from various sources including OpenNeuro, CRCNS, etc., to provide unified access to over 200TB of neural data.
Proper citation: datasets.datalad.org (RRID:SCR_019089) Copy
http://plantgrn.noble.org/LegumeIP/
LegumeIP is an integrative database and bioinformatics platform for comparative genomics and transcriptomics to facilitate the study of gene function and genome evolution in legumes, and ultimately to generate molecular based breeding tools to improve quality of crop legumes. LegumeIP currently hosts large-scale genomics and transcriptomics data, including: * Genomic sequences of three model legumes, i.e. Medicago truncatula, Glycine max (soybean) and Lotus japonicus, including two reference plant species, Arabidopsis thaliana and Poplar trichocarpa, with the annotation based on UniProt TrEMBL, InterProScan, Gene Ontology and KEGG databases. LegumeIP covers a total 222,217 protein-coding gene sequences. * Large-scale gene expression data compiled from 104 array hybridizations from L. japonicas, 156 array hybridizations from M. truncatula gene atlas database, and 14 RNA-Seq-based gene expression profiles from G. max on different tissues including four common tissues: Nodule, Flower, Root and Leaf. * Systematic synteny analysis among M. truncatula, G. max, L. japonicus and A. thaliana. * Reconstruction of gene family and gene family-wide phylogenetic analysis across the five hosted species. LegumeIP features comprehensive search and visualization tools to enable the flexible query on gene annotation, gene family, synteny, relative abundance of gene expression.
Proper citation: LegumeIP (RRID:SCR_008906) Copy
http://wiki.c2b2.columbia.edu/honiglab_public/index.php/Software:DelPhi
DelPhi provides numerical solutions to the Poisson-Boltzmann equation (both linear and nonlinear form) for molecules of arbitrary shape and charge distribution. The current version is fast, accurate, and can handle extremely high lattice dimensions. It also includes flexible features for assigning different dielectric constants to different regions of space and treating systems containing mixed salt solutions. DelPhi takes as input a coordinate file format of a molecule or equivalent data for geometrical objects and/or charge distributions and calculates the electrostatic potential in and around the system, using a finite difference solution to the Poisson-Boltzmann equation. DelPhi is a versatile electrostatics simulation program that can be used to investigate electrostatic fields in a variety of molecular systems. Features of DelPhi include solutions to mixtures of salts of different valence; solutions to different dielectric constants to different regions of space; and estimation of the best relaxation parameter at run time.
Proper citation: DelPhi (RRID:SCR_008669) Copy
Matlab toolbox that makes it easy to apply decoding analyses to neural data. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and examples are given on how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations.
Proper citation: Neural Decoding Toolbox (RRID:SCR_009012) Copy
http://brainandsociety.org/the-brain-observatory
Formerly a topical portal studying the brain which collected and imaged 1000 human brains, the Brain Observatory has partnered with the Institute for Brain and Society to build virtual laboratories that will feed directly into the database of images and knowledge created in the context of the Human Brain Library. The Brain Observatory will also host exhibits, conferences, and events aimed at promoting a heightened awareness of brain research and how its results can benefit personal brain fitness and mental health.
Proper citation: Brain Observatory (RRID:SCR_010641) Copy
Project aims to promote data sharing, archiving, and reuse among researchers who study human development. Focuses on creating tools for scientists to store, manage, preserve, analyze and share video and related data.
Proper citation: Databrary (RRID:SCR_010471) Copy
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3001096/
Software pipeline to identify MITEs as well as other small Class 2 non autonomous Transposable Elements from genomic DNA data sets. Used for discovering miniature inverted repeat transposable elements from genomic sequences. Can search large genomic data sets including whole genome sequences.
Proper citation: MITE-Hunter (RRID:SCR_020946) Copy
https://github.com/mourisl/Rcorrector
Software tool as kmer based error correction method for RNAseq data. Can also be applied to other types of sequencing data where read coverage is nonuniform, such as single cell sequencing. Used for error correction for Illumina RNAseq reads.
Proper citation: Rcorrector (RRID:SCR_022011) Copy
https://github.com/hahnlab/CAFExp
Software tool for computational analysis of gene family evolution. Used for statistical analysis of evolution gene family sizes. Models evolution of gene family sizes over phylogeny.
Proper citation: Computational Analysis of gene Family Evolution (RRID:SCR_018924) Copy
http://mtshasta.phys.washington.edu/website/SuperSegger.php
Software package as automated MATLAB based trainable image cell segmentation, fluorescence quantification and analysis suite. Used for high throughput time lapse fluorescence microscopy of in vivo bacterial cells. Robust image segmentation, analysis and lineage tracking of bacterial cells.
Proper citation: SuperSegger (RRID:SCR_018532) Copy
https://github.com/broadinstitute/Drop-seq
Software Java tools for analyzing Drop-seq data. Used to analyze gene expression from thousands of individual cells simultaneously. Analyzes mRNA transcripts while remembering origin cell transcript.
Proper citation: Drop-seq tools (RRID:SCR_018142) Copy
https://gitlab.com/gernerlab/cytomap/-/wikis/home
Software tool as spatial analysis software for whole tissue sections.Utilizes information on cell type and position to phenotype local neighborhoods and reveal how their spatial distribution leads to generation of global tissue architecture.Used to make advanced data analytic techniques accessible for single cell data with position information.
Proper citation: CytoMAP (RRID:SCR_021227) Copy
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