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http://purl.bioontology.org/ontology/FB-DV

A structured controlled vocabulary of the development of Drosophila melanogaster.

Proper citation: Drosophila Development Ontology (RRID:SCR_010310) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/bycom/

A software which can perform methylcytosine calling from BS-seq (WGBS and RRBS), and permits either unmapped reads (FASTQ) or mapped reads (SAM/BAM) to be used as the input data. Certain SNPs (C>A/G) can also be selected in the output.

Proper citation: Bycom (RRID:SCR_000659) Copy   

•   Source: SciCrunch Registry
  

https://stattech.ru

Web service for statistics with automated data analysis mode.

Proper citation: StatTech (RRID:SCR_023071) Copy   

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http://purl.bioontology.org/ontology/FB-BT

A structured controlled vocabulary of the anatomy of Drosophila melanogaster.

Proper citation: Drosophila Gross Anatomy Ontology (RRID:SCR_010311) Copy   

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https://github.com/plaisier-lab/OncoMerge

Software tool to integrate somatic mutation types into comprehensive integrated somatic mutation matrix for downstream analyses.Somatic mutation integration platform that tames allelic heterogeneity, discovers causal mutations, integrates binary PAM and fusion with quantitative CNA data types, and overcomes known obstacles in cancer genetics. Used for systematic integration of protein affecting mutations, gene fusions, and copy number alterations into comprehensive somatic mutational profile.

Proper citation: OncoMerge (RRID:SCR_023079) Copy   

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http://ohnlp.org/index.php/ICEPO

An ontology distributed in OWL format which contains comprehensive terms describing ion channel electrophysiology. Terms from related ontologies, such as Cell Physiology Ontology (CPO), Cardiac Electrophysiology Ontology (CEPO), and Unit Ontology, were integrated into ICEPO.

Proper citation: ICEPO (RRID:SCR_014359) Copy   

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https://www.distillersr.com/products/distillersr-systematic-review-software

Literature review software by DistillerSR Inc. Automates management of literature collection, screening, and assessment using AI and intelligent workflows. From systematic literature review to rapid review to living review, makes any project simpler to manage and configure to produce transparent, audit-ready, and compliant results.

Proper citation: DistillerSR (RRID:SCR_023078) Copy   

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http://prime.psc.riken.jp/compms/msdial/main.html

Software tool for data independent MS/MS deconvolution for comprehensive metabolome analysis. Universal program for untargeted metabolomics that supports multiple instruments (GC/MS, GC/MS/MS, LC/MS, and LC/MS/MS) and MS vendors (Agilent, Bruker, LECO, Sciex, Shimadzu, Thermo, and Waters). Used for untargeted metabolomics and lipidomics supporting any type of chromatography/mass spectrometry methods.

Proper citation: MS-DIAL (RRID:SCR_023076) Copy   

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https://medschool.cuanschutz.edu/diabetes-research-center

Center to facilitate diabetes research at University of Colorado by integrating interdisciplinary basic, translational, and clinical diabetes research base; providing infrastructure and resources that are indispensable for continued discovery and progress towards diabetes research and developing improved prediction and disease prevention;providing P&F and enrichment programs to support DRC investigators and their trainees, and recruit new and young investigators into diabetes research.

Proper citation: University of Colorado Diabetes Research Center (RRID:SCR_022897) Copy   

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https://ncdiabetesresearch.org/

Interactive regional diabetes research community across four premiere research institutions in North Carolina, who currently garner over $70 million annually for support of their diabetes research: Duke University (Duke), The University of North Carolina at Chapel Hill (UNC), Wake Forest School of Medicine (WF), and North Carolina A&T State University (NC A&T State). NCDRC supports Research Cores that represent unique strengths at each institution.

Proper citation: North Carolina Diabetes Research Center (RRID:SCR_022896) Copy   

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https://www.bruker.com/en/products-and-solutions/preclinical-imaging/mri/biospec/biospec-70-20-and-94-20.html

Multipurpose research system for high resolution Magnetic Resonance Spectroscopy and Imaging. System is equipped with 7 Tesla superconducting magnet designed with Ultra Shielded Refrigerated magnet technology. USR technology significantly reduces stray field to close to magnet. Used for In Vivo Magnetic Resonance Imaging.

Proper citation: Bruker: 7 Tesla Bruker BioSpec 70/20 USR MRI system (RRID:SCR_022895) Copy   

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https://edspace.american.edu/openbehavior/project/3d-printed-superfusion-chamber/

Project consists of suite of 3D-printed tools including superfusion chamber with independent brain presser and animal stand. Modular device that facilitates transfer of pharmacological agents and brain access for electrodes and/or lenses for imaging. Provides stable conditions for electrophysiological and neuroimaging recordings. Device can be print either in-house or through 3d-printing service.

Proper citation: 3D Printed Superfusion Chamber (RRID:SCR_022901) Copy   

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http://labs.europepmc.org/evf

A web application to assist in the identification of articles and research related to literature search terms. The search covers full text articles in the Europe PMC repository. Relevant papers are suggested to users based on the scientific term searched and the selection of questions, generated by the application, relevant to term searched.

Proper citation: EvidenceFinder (RRID:SCR_013764) Copy   

•   Source: SciCrunch Registry
  

http://neurolog.i3s.unice.fr/public_namespace/ontology

An ontology for neuroimaging or medical imaging studies based on DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering), as the foundational ontology. Detailed description from web: Our aim is the design of a common semantic model providing a unified view on all data and tools to be shared between NeuroLOG partners. For this purpose, we built a multi-layered and multi-components formal ontology. We chose a design framework that structures the ontology at different levels of abstraction while respecting common conceptualization choices. At the highest level is a top-level ontology that includes abstract concepts and relationships valid across domains. We adopted DOLCE (Descriptive Ontology for Linguistic and Cognitive Engineering), as the foundational ontology. We then added Core ontologies, which provide generic, basic and minimal concepts and relations in a specific domain. By minimal we mean that core ontologies should include only the most reusable and widely applicable categories. These kinds of ontologies are essential for sharing intended meaning between different domains. We adopted I& DA (Information and Discourse Acts), a core ontology initially built for classifying documents as a function of their content.We use it to model medical images, which we consider as types of documents. Participant Roles is the core ontology we use to describe the modes of image participation in data processing. I& DA and Participant Roles are built according to DOLCE ontological commitments. On the basis of these two layers, we constructed our Domain ontology dedicated to conceptualizing a specific domain, in this case neuroimaging. Obviously, large domains such as neuroimaging can be divided into sub-domains for the sake of modularization.

Proper citation: OntoNeuroLOG (RRID:SCR_008957) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/DDI

Ontology for the description of drug discovery investigations. DDI aims to follow to the OBO (Open Biomedical Ontologies) Foundry principles, uses relations laid down in the OBO Relation Ontology, and be compliant with Ontology for biomedical investigations (OBI).

Proper citation: Ontology for Drug Discovery Investigations (RRID:SCR_010383) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/OGSF

Application ontology to model / represent the notion of genetic susceptibility to a specific disease or an adverse event or a pathological biological process. It is developed using BFO2.0''s framwork. The ontology is under the domain of genetic epidemiology.

Proper citation: Ontology for Genetic Susceptibility Factor (RRID:SCR_010386) Copy   

•   Source: SciCrunch Registry
  

https://www.pinnaclet.com/sleepPRO.html

Software tool to reduce scoring time and simplify data analysis. Offers automated power analysis, semi-automated scoring methods, and advanced tabular and graphical analysis for investigating sleep data sets. Custom scoring and analysis are also available. Scoring sessions between two or more users can be compared. All EEG/EMG and video data sets recorded with Pinnacle software, as well as third party EDF files, can be imported.

Proper citation: Sirenia Sleep Pro (RRID:SCR_022918) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/OntoVIP

Ontology that describes the content of the models used in medical image simulation developed in the context of the Virtual Imaging Platform project (VIP), a french project aiming at sharing medical image simulation resources. This ontology can be used to annotate such models in order to highlight the different entities that are present in the 3D scene to be imaged, i.e. anatomical structures, pathological structures, foreign bodies, contrast agents etc. The model allows also to associate to these entities information about their physical qualities, which are used in the medical image simulation process (to mimick physical phenomena involved in CT, MR, US and PET imaging). This ontology partly relies on the OntoNeuroLOG ontology (ONL-DP ONL-MR-DA), as well as PATO, RadLex, FMA and ChEBI.

Proper citation: Medical image simulation (RRID:SCR_010355) Copy   

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http://purl.bioontology.org/ontology/ONL-MSA

Ontology that is a module of the OntoNeuroLOG ontology that covers the field of mental state assessments, i.e. instruments, instrument variables, assessments, and resulting scores, developed in the context of the NeuroLOG project, a french project aiming at integrating distributed heterogeous resources in neuroimaging. It includes a generic domain core ontology, that provides a general model of such entities and a general taxonomy of behavioural, neurosychological and neuroclinical instruments, that can be easily extended to model any particular kind of instrument. It also includes such extensions for 8 relatively standard instruments, namely: (1) the Beck-depression-inventory-(BDI-II), (2) the Expanded-Disability-Status-Scale, (3) the Controlled-oral-word-association-test, (4) the Free-and-Cued-Selective-Reminding-Test-with-Immediate-Recall-16-item-version-(The-Grober-and-Buschke-test), (5) the Mini-Mental-State, (6) the Stroop-color-and-word-test, (7) the Trail-making-test-(TMT), (8) the Wechsler-Adult-Intelligence-Scale-third-edition, (9) the Clinical-Dementia-Rating-scale, (10) the Category-verbal-fluency, (11) the Rey-Osterrieth-Complex-Figure-Test-(CFT).

Proper citation: Mental State Assessment (RRID:SCR_010357) Copy   

•   Source: SciCrunch Registry
  

http://purl.bioontology.org/ontology/MSV

An ontology for metagenome sample metadata that mainly defines predicates.

Proper citation: Metagenome Sample Vocabulary (RRID:SCR_010358) Copy   

•   Source: SciCrunch Registry