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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://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
https://run.biosimulations.org
Web tool for executing broad range of modeling studies and visualizing their results. Provides web interface for reusing any model. Models, simulations, and visualizations are available under licenses specified for each resource.
Proper citation: runBioSimulations (RRID:SCR_019110) 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
http://www.nitrc.org/projects/psc/
Data analysis software that can simultaneously characterize a large number of white matter bundles within and across different subjects for group analysis. It has three major components: construction of the structural connectome for the whole brain, low-dimensional representation of streamlines in each connection, and multi-level connectome analysis.
Proper citation: Mapping Population-based Structural Connectomes (RRID:SCR_016232) Copy
Software toolkit for neuroelectrophysiology object modeling and data analysis in Python. Open source Python package for analysis of neuroelectrophysiology data.
Proper citation: nelpy (RRID:SCR_016209) Copy
Data repository for integrative/hybrid structural models of macromolecules and their assemblies. This includes atomistic models as well as multi-scale models consisting of different coarse-grained representations.
Proper citation: PDB-Dev (RRID:SCR_016185) Copy
http://www.ccb.jhu.edu/software/centrifuge/
Software for rapid and sensitive classification of metagenomic sequences. Used for the classification of DNA sequences from microbial samples and analysis of large metagenomics data sets on conventional desktop computers.
Proper citation: Centrifuge Classifier (RRID:SCR_016665) Copy
https://github.com/iychoi/libra
Hadoop based tool for massive comparative metagenomics analysis. Compute the similarity between metagenomic samples.
Proper citation: Libra (RRID:SCR_016608) Copy
http://zhoulab.usc.edu/TopDom/
Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: TopDom (RRID:SCR_016964) Copy
https://picrust.github.io/picrust/
Software package to predict metagenome functional content from marker gene (e.g., 16S rRNA) surveys and full genomes. Used to predict which gene families are present and then combines gene families to estimate the composite metagenome.
Proper citation: PICRUSt (RRID:SCR_016855) Copy
https://github.com/macmanes-lab/BinPacker/blob/master/README
Software tool as de novo trascriptome assembler for RNA-Seq data. Used to assemble full length transcripts by remodeling problem as tracking set of trajectories of items over splicing graph. Input RNA-Seq reads in fasta or fastq format, and ouput all assembled candidate transcripts in fasta format. Operating system Unix/Linux.
Proper citation: BinPacker (RRID:SCR_017038) Copy
http://arabidopsis.med.ohio-state.edu
An information resource of Arabidopsis promoter sequences, transcription factors and their target genes that contains three databases. *AtcisDB consists of approximately 33,000 upstream regions of annotated Arabidopsis genes (TAIR9 release) with a description of experimentally validated and predicted cis-regulatory elements. *AtTFDB contains information on approximately 1,770 transcription factors (TFs). These TFs are grouped into 50 families, based on the presence of conserved domains. *AtRegNet contains 11,355 direct interactions between TFs and target genes. They provide free download of Arabidopsis thaliana cis-regulatory database (AtcisDB) and transcription factor database (AtTFDB).
Proper citation: Arabidopsis Gene Regulatory Information Server (RRID:SCR_006928) Copy
Public global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.
Proper citation: Worldwide Protein Data Bank (wwPDB) (RRID:SCR_006555) Copy
http://www.agbase.msstate.edu/
A curated, open-source, web-accessible resource for functional analysis of agricultural plant and animal gene products. Our long-term goal is to serve the needs of the agricultural research communities by facilitating post-genome biology for agriculture researchers and for those researchers primarily using agricultural species as biomedical models. AgBase provides tools designed to assist with the analysis of proteomics data and tools to evaluate experimental datasets using the GO. Additional tools for sequence analysis are also provided. We use controlled vocabularies developed by the Gene Ontology (GO) Consortium to describe molecular function, biological process, and cellular component for genes and gene products in agricultural species. AgBase will also accept annotations from any interested party in the research communities. AgBase develops freely available tools for functional analysis, including tools for using GO. We appreciate any and all questions, comments, and suggestions. AgBase uses the NCBI Blast program for searches for similar sequences. And the Taxonomy Browser allows users to find the NCBI defined taxon ID for or taxon name for different organisms.
Proper citation: AgBase (RRID:SCR_007547) Copy
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