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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.

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On page 98 showing 1941 ~ 1960 out of 26,865 results
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http://www.connectomics.org/cfflib/

A container format for multi-modal neuroimaging data. It comprises connectome objects of type: CMetadata, CNetwork, CVolume, CSurface, CTrack, CScript, CData, CTimeseries, CImagestack. The Python library cfflib provides read/write functionality.

Proper citation: Connectome File Format (RRID:SCR_009551) Copy   


http://cocomac.org/WWW/paxinos3D/index.html

An interactive interface of macaque stereotaxic atlas with a connectivity database, allowing integrated data analysis and mapping between 3D structures with database vocabularies. These Java-based tools are capable of reading stacks of polygons described in svg vector format and arrange them in 3D space so that the corresponding structures can be viewed and manipulated individually. An additional excel (currently v. 1997-2003) file maintains the structure abbreviations and their mapping to the terminology of databases that provide supplementary information. Here in particular we have manually drawn the cortical, striatal, thalamic and amygdaloid structures of the 151 frontal sections from the Rhesus Monkey Brain in Stereotactic Coordinates authored by Paxinos and colleagues in 1999. After loading the excel file and a set of the svg files, the view can be rotated, zoomed and individual brain structures be selected for identification and simple geometric measures. A stereotaxic grid is a display option. The abbreviations of the brain structures are mapped to entities recorded in the CoCoMac database of primate brain connectivity. Thereby one can retrieve mapping and connectivity information for the selected structure as text or connecting arrows.

Proper citation: CoCoMac-Paxinos3D viewer (RRID:SCR_009548) Copy   


  • RRID:SCR_009549

    This resource has 1+ mentions.

http://invizian.loni.usc.edu

A visualization environment that enables you, via your computer, to display and interact with hundreds of neuroimaging data sets at once ?bringing together brain image data from some of the world?s best neuroscience research teams. INVIZIAN empowers both researchers and students of neuroscience to explore and understand the human brain using a simple yet powerful user interface for neuroimaging data exploration and discovery. See a beautiful example of a cloud of individual brains tumbling around in the INVIZIAN interface in Vimeo (http://vimeo.com/67984681). Visit often to see how we are making continuing progress to make Invizian even more amazing.

Proper citation: INVIZIAN (RRID:SCR_009549) Copy   


  • RRID:SCR_009544

http://www.cise.ufl.edu/~tichen/cdfHC.zip

A Matlab demo for group wise point set registration using a novel CDF-based Havrda-Charvat Divergence, which is based on the paper: Ting Chen, Baba C. Vemuri, Anand Rangarajan and Stephan J. Eisenschenk, Group-wise Point-set registration using a novel CDF-based Havrda-Charvat Divergence. In IJCV : International Journal of Computer Vision, 86(1):111-124, January, 2010.

Proper citation: CDF-HC PointSetReg (RRID:SCR_009544) Copy   


http://www.ohsu.edu/xd/

As the state''s only health and research university, OHSU brings together patient care, research, education of the next generation of health care providers and scientists and community service to improve the health and well-being of all Oregonians.

Proper citation: Oregon Health and Science University; Oregon; USA (RRID:SCR_009665) Copy   


  • RRID:SCR_009859

    This resource has 1+ mentions.

http://www.commerce.gov/

Executive department of the federal government concerned with promoting economic growth. Among its tasks are gathering economic and demographic data for business and government decision-making, and helping to set industrial standards.

Proper citation: U.S. Department of Commerce (RRID:SCR_009859) Copy   


  • RRID:SCR_010168

    This resource has 500+ mentions.

http://www.usgs.gov/

Scientific agency of the United States government. The scientists of the USGS study the landscape of the United States, its natural resources, and the natural hazards that threaten it. The organization's work spans the disciplines of biology, geography, geology, and hydrology.

Proper citation: U.S. Geological Survey (RRID:SCR_010168) Copy   


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

An ontology of biodiversity of INPA

Proper citation: Biodiversity Ontology (RRID:SCR_010204) Copy   


  • RRID:SCR_010053

http://www.allseq.com/default.aspx

Free online tools to find the best Sequencing Service provider for your project.

Proper citation: AllSeq (RRID:SCR_010053) Copy   


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

Ontology that characterizes the state of current thought in cognitive science. It defines a set of mental concepts along with a set of mental tasks, and the measurement relations between those classes.

Proper citation: Cognitive Atlas Ontology (RRID:SCR_010295) Copy   


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

A coding system for reporting adverse events that occur in the course of cancer therapy. It was derived from the Common Toxicity Criteria (CTC) v2.0 and is maintained by the Cancer Therapy Evaluation Program (CTEP) at the National Cancer Institution (NCI).

Proper citation: Common Terminology Criteria for Adverse Events (RRID:SCR_010296) Copy   


http://sourceforge.net/apps/mediawiki/cdao/

A formalization of concepts and relations relevant to evolutionary comparative analysis, such as phylogenetic trees, OTUs (operational taxonomic units) and compared characters (including molecular characters as well as other types). CDAO is being developed by scientists in biology, evolution, and computer science

Proper citation: Comparative Data Analysis Ontology (RRID:SCR_010297) Copy   


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

Categories and terms used to classify content (documents, images, etc) in electronic content repositories for life science / BioPharma. Initial version contains content model for use with clinical trial electronic Trial Master Files or eTMF archives. A Content model contains content classification categories (classes) and metadata properties (data properties). Data properties should be assigned to each Content Type. Recent changes include: addition of electronic signature support, medical imaging classifications.

Proper citation: Content Archive Resource Exchange Lexicon (RRID:SCR_010298) Copy   


  • RRID:SCR_010178

    This resource has 1+ mentions.

https://www.universite-lyon.fr/

University of Lyon, located in Lyon and Saint-Étienne, France, is a center for higher education and research comprising 11 members and 24 associated institutions.

Proper citation: University of Lyon; France (RRID:SCR_010178) Copy   


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

A structured controlled vocabulary of the anatomy of Amphibians. Note that AAO is currently being integrated into Uberon.

Proper citation: Amphibian Gross Anatomy Ontology (RRID:SCR_010291) Copy   


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

A core ontology consistent with a metamodel (disorders and groups of disorders, genes, clinical signs and their relations) and an instantiation of this metamodel with Orphanet Data (available on http://orphadata.org). Research experiments demonstrated (i) efficient classifications generation based on SPARQL Construct, (ii) perspectives in semantic audit of a knowledge base, (iii) semantic comparison with OMIM (www.omim.org) using proximity measurements and (iv) opened perspectives in knowledge sharing (LORD, http://lord.bndmr.fr). Current production services of Orphanet developed ORDO, released in 2014, an ontology synchronized with their production database.

Proper citation: Disease core ontology applied to Rare Diseases (RRID:SCR_010308) Copy   


http://www.sdsu.edu/

Public research university in San Diego, California. Founded in 1897 as San Diego Normal School, it is the third-oldest university in the 23-member California State University system.

Proper citation: San Diego State University; California; USA (RRID:SCR_009874) Copy   


  • RRID:SCR_009993

    This resource has 10+ mentions.

http://dna.engr.uconn.edu/?page_id=105

Software package that can be used to infer isoform and gene expression levels from high-throughput transcriptome sequencing (RNA-Seq) data.

Proper citation: IsoEM (RRID:SCR_009993) Copy   


http://www.york.ac.uk/crd/

A research department of the University of York provides research-based information about the effects of health and social care interventions via their databases. The institute undertakes systematic reviews evaluating research evidence on health and public health questions of national and international importance.

Proper citation: Centre for Reviews and Dissemination (RRID:SCR_010267) Copy   


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

Metathesaurus of current procedural terminalogy (CPT).

Proper citation: Current Procedural Terminalogy Hierarchy (RRID:SCR_010300) Copy   



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