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on page 1 showing 20 out of 6,443 results from 1 sources

Cite this (100, 000 Genomes Project, RRID:SCR_010502)

URL: http://www.genomicsengland.co.uk/the-100000-genomes-project/

Resource Type: Resource, data or information resource, database

The project will focus on patients with a rare disease and their families and patients with cancer. The first samples for sequencing are being taken from patients living in England with discussions taking place with Scotland, Wales and Northern Ireland about potential future involvement. Genomics England, a company wholly owned and funded by the Department of Health, was set up to deliver this flagship project which will sequence 100,000 whole genomes from NHS patients by 2017. Its four main aims are; to create an ethical and transparent programme based on consent; to bring benefit to patients and set up a genomic medicine service for the NHS; to enable new scientific discovery and medical insights; and to kick start the development of a UK genomics industry.

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Cite this (1000 Functional Connectomes Project, RRID:SCR_005361)

URL: http://fcon_1000.projects.nitrc.org/

Resource Type: Resource, database, image collection, catalog, service resource, storage service resource, image repository, data repository, data or information resource

Database of resting state fMRI (R-fMRI) datasets collected from sites around the world. It demonstrates open sharing of R-fMRI data and aims to emphasize the aggregation and sharing of well-phenotyped datasets.

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Cite this (1000 Genomes: A Deep Catalog of Human Genetic Variation, RRID:SCR_006828)

URL: http://www.1000genomes.org/

Resource Type: Resource, organization portal, database, consortium, data set, portal, data or information resource

International collaboration producing an extensive public catalog of human genetic variation, including SNPs and structural variants, and their haplotype contexts, in an effort to provide a foundation for investigating the relationship between genotype and phenotype. The genomes of about 2500 unidentified people from about 25 populations around the world were sequenced using next-generation sequencing technologies. Redundant sequencing on various platforms and by different groups of scientists of the same samples can be compared. The results of the study are freely and publicly accessible to researchers worldwide. The consortium identified the following populations whose DNA will be sequenced: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. The goal Project is to find most genetic variants that have frequencies of at least 1% in the populations studied. Sequencing is still too expensive to deeply sequence the many samples being studied for this project. However, any particular region of the genome generally contains a limited number of haplotypes. Data can be combined across many samples to allow efficient detection of most of the variants in a region. The Project currently plans to sequence each sample to about 4X coverage; at this depth sequencing cannot provide the complete genotype of each sample, but should allow the detection of most variants with frequencies as low as 1%. Combining the data from 2500 samples should allow highly accurate estimation (imputation) of the variants and genotypes for each sample that were not seen directly by the light sequencing. All samples from the 1000 genomes are available as lymphoblastoid cell lines (LCLs) and LCL derived DNA from the Coriell Cell Repository as part of the NHGRI Catalog. The sequence and alignment data generated by the 1000genomes project is made available as quickly as possible via their mirrored ftp sites. ftp://ftp.1000genomes.ebi.ac.uk ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes

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Cite this (1000 Genomes Project and AWS, RRID:SCR_008801)

URL: http://aws.amazon.com/1000genomes/

Resource Type: Resource, data set, data or information resource

A dataset containing the full genomic sequence of 1,700 individuals, freely available for research use. The 1000 Genomes Project is an international research effort coordinated by a consortium of 75 companies and organizations to establish the most detailed catalogue of human genetic variation. The project has grown to 200 terabytes of genomic data including DNA sequenced from more than 1,700 individuals that researchers can now access on AWS for use in disease research free of charge. The dataset containing the full genomic sequence of 1,700 individuals is now available to all via Amazon S3. The data can be found at: http://s3.amazonaws.com/1000genomes The 1000 Genomes Project aims to include the genomes of more than 2,662 individuals from 26 populations around the world, and the NIH will continue to add the remaining genome samples to the data collection this year. Public Data Sets on AWS provide a centralized repository of public data hosted on Amazon Simple Storage Service (Amazon S3). The data can be seamlessly accessed from AWS services such Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic MapReduce (Amazon EMR), which provide organizations with the highly scalable compute resources needed to take advantage of these large data collections. AWS is storing the public data sets at no charge to the community. Researchers pay only for the additional AWS resources they need for further processing or analysis of the data. All 200 TB of the latest 1000 Genomes Project data is available in a publicly available Amazon S3 bucket. You can access the data via simple HTTP requests, or take advantage of the AWS SDKs in languages such as Ruby, Java, Python, .NET and PHP. Researchers can use the Amazon EC2 utility computing service to dive into this data without the usual capital investment required to work with data at this scale. AWS also provides a number of orchestration and automation services to help teams make their research available to others to remix and reuse. Making the data available via a bucket in Amazon S3 also means that customers can crunch the information using Hadoop via Amazon Elastic MapReduce, and take advantage of the growing collection of tools for running bioinformatics job flows, such as CloudBurst and Crossbow.

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Cite this (3DBar, RRID:SCR_008896)

URL: http://www.3dbar.org

Resource Type: Resource, production service resource, analysis service resource, reference atlas, software resource, service resource, atlas, data or information resource

Software package for reconstructing three-dimensional models of brain structures from 2-D delineations using a customizable and reproducible workflow. 3dBAR also works as an on-line service (http://service.3dbar.org) offering a variety of functions for the hosted datasets: * downloading reconstructions of desired brain structures in predefined quality levels in various supported formats as well as created using customizable settings, * previewing models as bitmap thumbnails and (for webGL enabled browsers) interactive manipulation (zooming, rotating, etc.) of the structures, * downloading slides from available datasets as SVG drawings. 3dBAR service can also be used by other websites or applications to enhance their functionality. * Operating System: Linux * Programming Language: Python * Supported Data Format: NIfTI-1, Other Format, VRML

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    3D Brain

Cite this (3D Brain, RRID:SCR_013138)

URL: https://itunes.apple.com/be/app/3d-brain/id331399332?mt=8

Resource Type: Resource, software application, narrative resource, training material, software resource, mobile app, data or information resource

iPhone and iPad app that provides a good overview of the brain and its structures allowing you to rotate and zoom around 29 interactive structures with your touch screen. Discover how each brain region functions, what happens when it is injured, and how it is involved in mental illness. Each detailed structure comes with information on functions, disorders, brain damage, case studies, and links to modern research. Compatible with iPhone, iPod touch and iPad. Requires iOS 3.0 or later.

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Cite this (3D DTI Atlas of the Rat Brain In Postnatal Day 5 14 and Adulthood, RRID:SCR_009437)

URL: http://www.nitrc.org/projects/dti_rat_atlas/

Resource Type: Resource, atlas, reference atlas, data or information resource

3D DTI anatomical rat brain atlases have been created by the UNC- Chapel Hill Department of Psychiatry and the CAMID research collaboration. There are three age groups, postnatal day 5, postnatal day 14, and postnatal day 72. The subjects were Sprague-Dawley rats that were controls in a study on cocaine abuse and development. The P5 and P14 templates were made from scans of twenty rats each (ten female, ten male); the P72, from six females. The individual cases have been resampled to isotropic resolution, manually skull-stripped, and deformably registered via an unbiased atlas building method to create a template for each age group. Each template was then manually segmented using itk-SNAP software. Each atlas is made up of 3 files, a template image, a segmentation, and a label file.

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Cite this (3D Facial Norms Database, RRID:SCR_005991)

URL: https://www.facebase.org/facial_norms/

Resource Type: Resource, data or information resource, database

Database of high-quality craniofacial anthropometric normative data for the research and clinical community based on digital stereophotogrammetry. Unlike traditional craniofacial normative datasets that are limited to measures obtained with handheld calipers and tape measurers, the anthropometric data provided here are based on digital stereophotogrammetry, a method of 3D surface imaging ideally suited for capturing human facial surface morphology. Also unlike more traditional normative craniofacial resources, the 3D Facial Norms Database allows users to interact with data via an intuitive graphical interface and - given proper credentials - gain access to individual-level data, allowing users to perform their own analyses.

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Cite this (3D-footprint, RRID:SCR_015713)

URL: http://floresta.eead.csic.es/3dfootprint

Resource Type: Resource, data or information resource, database

Database of DNA-binding protein structures that is updated with Protein Data Bank complexes. It provides structure-based binding specificities and sequence logos, classification and clusters of protein-DNA interfaces, and downloads/stats.

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Cite this (3D-Genomics Database, RRID:SCR_007430)

URL: http://www.sbg.bio.ic.ac.uk/3dgenomics/searchpage1.cgi

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. Database containing structural annotations for the proteomes of just under 100 organisms. Using data derived from public databases of translated genomic sequences, representatives from the major branches of Life are included: Prokaryota, Eukaryota and Archaea. The annotations stored in the database may be accessed in a number of ways. The help page provides information on how to access the database. 3D-GENOMICS is now part of a larger project, called e-Protein. The project brings together similar databases at three sites: Imperial College London , University College London and the European Bioinformatics Institute . e-Protein''s mission statement is To provide a fully automated distributed pipeline for large-scale structural and functional annotation of all major proteomes via the use of cutting-edge computer GRID technologies. The following databases are incorporated: NRprot, SCOP, ASTRAL, PFAM, Prosite, taxonomy, COG The following eukaryotic genomes are incorporated: Anopheles gambiae, protein sequences from the mosquito genome; Arabidopsis thaliana, protein sequences from the Arabidopsis genome; Caenorhabditis briggsae, protein sequences from the C.briggsae genome; Caenorhabditis elegans protein sequences from the worm genome; Ciona intestinalis protein sequences from the sea squirt genome; Danio rerio protein sequences from the zebrafish genome; Drosophila melanogaster protein sequences from the fruitfly genome; Encephalitozoon cuniculi protein sequences from the E.cuniculi genome; Fugu rubripes protein sequences from the pufferfish genome; Guillardia theta protein sequences from the G.theta genome; Homo sapiens protein sequences from the human genome; Mus musculus protein sequences from the mouse genome; Neurospora crassa protein sequences from the N.crassa genome; Oryza sativa protein sequences from the rice genome; Plasmodium falciparum protein sequences from the P.falciparum genome; Rattus norvegicus protein sequences from the rat genome; Saccharomyces cerevisiae protein sequences from the yeast genome; Schizosaccharomyces pombe protein sequences from the yeast genome

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Cite this (3DID: 3D Interacting Domains, RRID:SCR_007425)

URL: http://3did.irbbarcelona.org

Resource Type: Resource, data or information resource, database

A database of domain-domain and peptide-mediated interactions of known 3D structures. The database of 3D Interaction Domains (3did) is a collection of domain-domain and domain-peptide interactions for which high-resolution three-dimensional structures are known. 3did exploits structural information to provide critical molecular details necessary for understanding how these interactions occur. It also offers an overview of how similar in structure are interactions between different members of the same protein family. The database also contains GO-based functional annotations and interactions between yeast proteins from large-scale interaction discovery studies. Sponsors: This resource is partially supported by the Spanish Ministerio de Educacin y Ciencia (PSE-010000-2007-1 and BIO2007-62426) and the 3D-Repertoire from the European Commission under FP6 contract LSHG-CT-2005-512028. Keywords: Database, Domain, Peptide, Protein, 3D structure, Interaction, Dimentional, Structure, Molecular, Functional, Annotation, Interaction, Yeast, Study, Research,

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Cite this (3D-Interologs, RRID:SCR_003101)

URL: http://gemdock.life.nctu.edu.tw/3D-Interologs

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Database of physical protein-protein interactions across multiple genomes. Based on 3D-domain interolog mapping and a scoring function, protein-protein interactions are inferred by using three-dimensional (3D) structure heterodimers to search the UniProt database. For a query protein, the database utilizes BLAST to identify homologous proteins and the interacting partners from multiple species. Based on the scoring function and structure complexes, it provides the statistic significances, the interacting models (e.g. hydrogen bonds and conserved amino acids), and functional annotations of interacting partners of a query protein. The identification of orthologous proteins of multiple species allows the study of protein-protein evolution, protein functions, and cross-referencing of proteins.

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Cite this (3D Macromolecular Analysis and Kinemage Home Page, RRID:SCR_008569)

URL: http://rd.plos.org/pbio.0050257

Resource Type: Resource, data or information resource, database

Resources for macromolecular X-ray crystallography from the Richardson Laboratory, including kinemages (a scientific illustration presented as an interactive computer display), databases, software, training materials and images

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Cite this (3D MRI Atlas of Mouse Development, RRID:SCR_008090)

URL: http://mouseatlas.caltech.edu/

Resource Type: Resource, atlas, data or information resource

A 3D digital atlas of normal mouse development constructed from magnetic resonance image data. The download is a zipped file containing the six atlases Theiler Stages (ts) 13, 21,23, 24, 25 and 26 and MRI data for an unlabeled ts19 embryo. To view the atlases, download and install MBAT from: http://mbat.loni.ucla.edu Specimens were prepared in aqueous, isotonic solutions to avoid tissue shrinkage. Limited specimen handling minimized physical perturbation of the embryos to ensure accurate geometric representations of developing mouse anatomy. Currently, the atlas contains orthogonal sections through MRI volumes, three stages of embryos that have annotated anatomy, photographs of several stages of development, lineage trees for annotated embryos and a gallery of images and movies derived from the annotations. Anatomical annotations can be viewed by selecting a transverse section and selecting a pixel on the displayed slice.

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Cite this (3D Ribosomal Modification Maps Database, RRID:SCR_003097)

URL: http://people.biochem.umass.edu/fournierlab/3dmodmap/

Resource Type: Resource, data or information resource, database

Database of maps showing the sites of modified rRNA nucleotides. Access to the rRNA sequences, secondary structures both with modification sites indicated, 3D modification maps and the supporting tables of equivalent nucleotides for rRNA from model organisms including yeast, arabidopsis, e. coli and human is provided. This database complements the Yeast snoRNA Database at UMass-Amherst and relies on linking to some content from that database, as well as to others by colleagues in related fields. Therefore, please be very cognizant as to the source when citing information obtained herein. Locations of modified rRNA nucleotides within the 3D structure of the ribosome.

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Cite this (3D surgical atlases of the murine head, RRID:SCR_008039)

URL: http://phm.utoronto.ca/~jeffh/surgical.htm

Resource Type: Resource, atlas, data or information resource

3D interactive atlas of two mouse brains, 129S1/SvImJ and C57Bl/6J. The aim of this resource is to enhance comparative morphometric analyses and stereotactic surgical procedures in mice. These representations of the murine brain and skull, in conjunction with the resource''s development of a new, more dynamic master coordinate system, provide improved accuracy with respect to targeting CNS structures during surgery compared with previous systems. The interactive three-dimensional nature of these atlases also provide users with stereotactic information necessary to perform accurate off-axis surgical procedures, as is commonly required for experiments such as in vivo micro-electroporation. In addition, three-dimensional analysis of the brain and skull shape in C57Bl, 129Sv, CD1, and additional murine strains, suggests that a stereotactic coordinate system based upon the lambda and rostral confluence of the sinuses at the sagittal midline, provides improved accuracy compared with the traditional lambdabregma landmark system. These findings demonstrate the utility of developing highly accurate and robust three-dimensional representations of the murine brain and skull, in which experimental outputs can be directly compared using a unified coordinate system.

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Cite this (3DSwap, RRID:SCR_004133)

URL: http://caps.ncbs.res.in/3dswap/index.html

Resource Type: Resource, data or information resource, database

Curated knowledegbase of protein structures that are reported to be involved in 3-dimensional domain swapping. 3DSwap provides literature curated information and structure related information about 3D domain swapping in proteins. Information about swapping, hinge region, swapped region, extent of swapping, etc. are extracted from original research publications after extensive literature curation.

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Cite this (3DVC, RRID:SCR_001377)

URL: http://www.3dvcell.org/conference-toward-3d-virtual-cell

Resource Type: Resource, portal, community building portal, data or information resource

Community of researchers attempting to build a comprehensive virtual cell model. The 3DVC will do for cell biology what the Large Hadron Collider (LHC) does for particle physics, but through a virtual rather than physical resource. It will bring together collaborators around a shared infrastructure to advance the field through efficient groundbreaking science and technology, the results of which will be broadly disseminated to an audience ranging from K12 to professionals. The 3DVC is committed to open science, yet strives for sustainability through new business models that leverages that open content.

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Cite this (499 fROI atlas, RRID:SCR_014756)

URL: http://findlab.stanford.edu/functional_ROIs.html

Resource Type: Resource, atlas, data or information resource

Atlas of functional ROIs (fROIs) containing 499 regions, with extensive gray matter coverage. Atlases are available for download directly from the website.

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Cite this (4TU.Datacentrum, RRID:SCR_006295)

URL: http://researchdata.4tu.nl/en/home/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Multidisciplinary data repository for a consortium of universities in the Netherlands housing over datasets with a focus on scientific and technical data. Most data were produced by Dutch researchers including datasets from doctoral research. Users can deposit up to 1G by completing an upload form. Collection development foci include applied sciences, biomedical technology, earth sciences, and technology and construction. 4TU.Datacentrum is a collaboration of the libraries of the three leading technical universities - Delft University of Technology, Eindhoven University of Technology and the University of Twente.

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