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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.
Software application for annotating character matrix files with ontology terms. Character states can be annotated using Entity-Quality syntax, where entity, quality, and possibly related entities are drawn from requisite ontologies. In addition, taxa (the rows of a character matrix) can be annotated with identifiers from taxonomy ontology. Phenex saves ontology annotations alongside original free text character matrix data using new NeXML format standard for evolutionary data.
Proper citation: Phenex (RRID:SCR_021748) Copy
A comprehensive biochemical knowledge-base on human metabolism, this community-driven, consensus metabolic reconstruction integrates metabolic information from five different resources: * Recon 1, a global human metabolic reconstruction (Duarte et al, PNAS, 104(6), 1777-1782, 2007) * EHMN, Edinburgh Human Metabolic Network (Hao et al., BMC Bioinformatics 11, 393, 2010) * HepatoNet1, a liver metabolic reconstruction (Gille et al., Molecular Systems Biology 6, 411, 2010), * Ac/FAO module, an acylcarnitine/fatty acid oxidation module (Sahoo et al., Molecular bioSystems 8, 2545-2558, 2012), * a human small intestinal enterocytes reconstruction (Sahoo and Thiele, submitted). Additionally, more than 370 transport and exchange reactions were added, based on a literature review. Recon 2 is fully semantically annotated (Le Nov��re, N. et al. Nat Biotechnol 23, 1509-1515, 2005) with references to persistent and publicly available chemical and gene databases, unambiguously identifying its components and increasing its applicability for third-party users. Here you can explore the content of the reconstruction by searching/browsing metabolites and reactions. Recon 2 predictive model is available in the Systems Biology Markup Language format.
Proper citation: Recon x (RRID:SCR_006345) 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://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
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
http://www.biocheminfo.org/klotho/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A database of biochemical compound information. All files are available for download, and all entries are cataloged by accession number. Klotho is part of a larger attempt to model biological processes, beginning with biochemistry.
Proper citation: Klotho: Biochemical Compounds Declarative Database (RRID:SCR_007714) Copy
http://www3.isrl.uiuc.edu/~TeleNature/bibe/
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. A facility to help novices and experts find information about plants and animals in digital collections. The objectives of the Project are to facilitate access to online flora and fauna by both novices and experts through enhanced indexing, searching, and visualization techniques. Specific search facility and content will be added to help users with different levels of domain knowledge identify species based on the augmentation of professionally developed taxonomic treatments or species descriptions. This is a novel use of taxonomic descriptions.
Proper citation: Biological Information Browsing Environment (RRID:SCR_008170) Copy
https://github.com/nlm-irp-jianglab/SpikeHunter
Software deep learning tool for identifying phage tailspike proteins. Used to identify phage tailspike proteins.
Proper citation: SpikeHunter (RRID:SCR_024831) Copy
https://github.com/xinhe-lab/GSFA
Software R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single cell CRISPR screening data.
Proper citation: Guided Sparse Factor Analysis (RRID:SCR_025023) Copy
Software tool for analysis of non-covalent interactions in molecular dynamics trajectories. Implemented in Python and is universally applicable to any kind of MD trajectory supported by MDAnalysis package.
Proper citation: PyContact (RRID:SCR_025066) Copy
Open access knowledge base for microbial natural products discovery. Database of microbially derived natural product structures. Provides coverage of bacterial and fungal natural products to visualize chemical diversity. Includes compounds and contains referenced data for structure, compound names, source organisms, isolation references, total syntheses, and instances of structural reassignment. Interactive web portal permits searching by structure, substructure, and physical properties. Provides mechanisms for visualizing natural products chemical space and dashboards for displaying author and discovery timeline data. Atlas has been developed under FAIR principles.
Proper citation: Natural Products Atlas (RRID:SCR_025107) Copy
https://github.com/PhysiCell-Tools/PhysiCell-Studio
Software graphical tool to allow easy editing of (XML) model, create initial positions of cells, run simulation, and visualize results. To contribute, fork and make PRs to the development branch. Used to create, execute, and visualize multicellular model using PhysiCell.
Proper citation: PhysiCell Studio (RRID:SCR_025311) Copy
https://github.com/COMBINE-lab/maximum-likelihood-relatedness-estimation
C++ program to infer biological relatedness from low coverage 2nd generation sequencing data. It uses information from genotype likelihoods rather than observed genotypes in maximum likelihood framework in order to estimate the overall coefficient of relatedness as well as individual kinship components between two samples. Maximum Likelihood Estimation of Biological Relatedness from Low Coverage Sequencing Data.
Proper citation: lcMLkin (RRID:SCR_025418) Copy
http://www.bios.unc.edu/research/genomic_software/Matrix_eQTL/
Software tool for ultra fast eQTL analysis via large matrix operations.
Proper citation: MatrixEQTL (RRID:SCR_025513) Copy
https://github.com/sokrypton/ColabFold
Software application offers accelerated prediction of protein structures and complexes by combining homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. Used for protein folding.
Proper citation: ColabFold (RRID:SCR_025453) Copy
Publicly accessible 3D data repository where subject experts, educators, and general public can find, view, interact with, and download 3D and 2D media representing physical objects important to the world’s natural history, cultural heritage, and scientific collections. Media data are contributed by a community that includes museums, institutions, researchers, scholars, and other subject experts who use MorphoSource to archive data, share findings, and increase scholarly impact. Contributed media represent both biological objects such as fossils and representatives of living species, as well as artifacts and objects created by humans that are critical to our shared cultural heritage.
Proper citation: MorphoSource (RRID:SCR_025654) Copy
https://bioconductor.org/packages/release/bioc/html/SomaticSignatures.html
Software R package for identifying mutational signatures of single nucleotide variants (SNVs) from high-throughput experiments.
Proper citation: SomaticSignatures (RRID:SCR_025620) Copy
https://brainlife.io/docs/using_ezBIDS/
Web-based BIDS conversion tool to convert neuroimaging data and associated metadata to BIDS standard. Guided standardization of neuroimaging data interoperable with major data archives and platforms.
Proper citation: ezBIDS (RRID:SCR_025563) Copy
https://github.com/zhouhj1994/LinDA
Software linear models for differential abundance analysis of microbiome compositional data. Used to tackle compositional effects in differential abundance analysis. It fits linear regression models on centered log2-ratio transformed data, identifies bias term due to transformation and compositional effect, and corrects bias using mode of regression coefficients. It could fit mixed-effect models.
Proper citation: LinDA (RRID:SCR_025966) Copy
https://github.com/kharchenkolab/conos
Software R package for joint analysis of multiple single-cell RNA-seq datasets. Used to wire together large collections of single-cell RNA-seq datasets, which allows for both identification of recurrent cell clusters and propagation of information between datasets in multi-sample or atlas-scale collections.
Proper citation: Conos (RRID:SCR_026381) Copy
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