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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://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_Crystallography.aspx
Facility equipped with X-ray crystallography equipment, such as the Rigaku FR-E SuperBright Ultra high-intensity rotating anode generator. The instrument is inteded for self-usage by trained users. It utilizes both ports with two independent diffraction stations that can run simultaneously. Each station is equipped with an X-stream cryogenic system for standard low temperature (~100 K) data collection. The system is used to collect high resolution diffraction data from native and inhibitor-bound crystals or to test and optimize diffraction quality (cryo-protectant conditions, etc.) and screen for further data collection at synchrotron sources.
Proper citation: Sanford Burnham Prebys Medical Discovery Institute X-ray Crystallography Facility (RRID:SCR_014860) Copy
http://casestudies.brain-map.org/celltax
Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.
Proper citation: CellTax vignette (RRID:SCR_017000) Copy
https://www.mammaldiversity.org/
Updatable online database of mammal taxonomic and biodiversity information hosted by American Society of Mammalogists. Provides information on species-level and higher taxonomic changes, thereby promoting more rigorous study of mammalian biodiversity worldwide. The initial objective has been to aggregate, curate, and compile, new citations on species descriptions and taxonomic revisions into regular releases that are downloadable in comma-delimited format. Downstream goals include expanded hosting of ecological, trait, and taxonomic data.
Proper citation: Mammal Diversity Database (RRID:SCR_026173) Copy
http://www.marmosetbrain.org/nencki_monash_template
Open access template of young adult marmoset brain, created from three dimensional reconstructions. Histology based average template of marmoset cortex with probabilistic localization of cytoarchitectural areas. Allows direct estimates of most likely coordinates of each cortical area, as well as quantification of margins of error involved in assigning voxels to areas, and preserves quantitative information about laminar structure of cortex.Enables integration with magnetic resonance imaging and tracer based connectivity data. Allows interoperability between NM template and other current digital atlases of marmoset cortex.
Proper citation: Nencki-Monash template (RRID:SCR_018367) Copy
Web based integrative platform for transcriptional regulation studies.
Proper citation: Cistrome (RRID:SCR_000242) Copy
http://technelysium.com.au/?page_id=27
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 31,2023. Software which is able to assemble data from 454 and Illumina next-generation sequencers, with up to 100,000 sequences if 2 Gb RAM is available.
Proper citation: ChromasPro (RRID:SCR_000229) Copy
Sage Bionetworks, Mount Sinai School of Medicine (MSSM), University of Pennsylvania (Penn), the National Institute of Mental Health (NIMH), and Takeda Pharmaceuticals Company Limited (TAKEDA) have launched a Public-Private Pre-Competitive Consortium, the CommonMind Consortium, to generate and analyze large-scale genomic data from human subjects with neuropsychiatric disease and to make this data and the associated analytical results broadly available to the public. This collaboration brings together disease area expertise, large scale and well curated brain sample collections, and data management and analysis expertise from the respective institutions. As many as 450 million people worldwide are believed to be living with a mental or behavioral disorder: schizophrenia and bipolar disorder are two of the top six leading causes of years lived with disability according to the World Health Organization. The burden on the individual as well as on society is significant with estimates for the health care costs for these individuals as high as four percent GNP. This highlights a grave need for new therapies to alleviate this suffering. Researchers from MSSM including Dr. Pamela Sklar, Dr. Joseph Buxbaum and Dr. Eric Schadt will join with Dr. Raquel Gur and Dr. Chang-Gyu Hahn from Penn to combine their extensive brain bank collections for the generation of whole genome scale RNA and DNA sequence data. Dr.Pamela Sklar, Professor of Psychiatry and Neuroscience at MSSM commented this is an exciting opportunity for us to use the newest genomic methods to really expand our understanding of the molecular underpinnings of neuropsychiatric disease, while Dr Raquel Gur, Professor of Psychiatry from Penn observed this will be a great complement to some of the large-scale genetic analyses that have been carried out to date because it will give a more complete mechanistic picture. The CommonMind Consortium is committed to generating an open resource for the community and invites others with common goals to contact us at info (at) CommonMind.org.
Proper citation: CommonMind Consortium (RRID:SCR_000139) Copy
http://medicaldata.wikia.com/wiki/Main_Page
Portal serves as resource to understand the current state of medical data quality and the factors that affect it. The information is gathered from anecdotal and empirical examples from peer-reviewed journals, popular media and author contributions. Issues of importance include understanding and measuring medical data quality, contributing factors, best practices, and the effects of data quality on secondary uses of medical data.
Proper citation: Quality of Medical Data (RRID:SCR_000520) Copy
http://www.africacentre.ac.za/Biobank/tabid/460/Default.aspx
THIS RESOURCE IS NO LONGER IN SERVICE, documented November 30, 2015. Extensive collection of biological specimens of various kinds that are mostly collected from the population around the Africa Centre in northern KwaZulu-Natal, but there are also specimens collected from populations in and around Durban and elsewhere in KwaZulu-Natal. The results of tests carried out on these specimens are generally stored in the main databases of the various studies involved, and are linkable back to the demographic and other data collected from the individuals concerned. The Biobank is curated by staff of the Africa Centre's Virology Laboratory in Durban, where all the specimens are currently stored, mostly in -80C freezers. A particular strength of its holdings are the dried blood spot (DBS), specimens five drops of blood on a filter-paper card, obtained via a finger-prick - of which there are now nearly 115,000. The following is a list of its holdings (May 2011): * 67,700 DBS specimens collected since late 2002 primarily for HIV prevalence estimation of the population covered by the Africa Centre Demographic Surveillance population. All have at least been tested for HIV, and just over 21% give a Positive result. Specimens are collected annually, so for some individuals we might have a sequence of 8-10 specimens covering 2002-2011. * 36,601 DBS specimens collected by the Vertical Transmission Study (VTS) between Sep 2001 and Dec 2006. This study focussed on mother-child pairs and investigated the vertical transmission of HIV from mother to child. DBS specimens were collected from both the mothers (at initial screening, and then from their children at Birth, 6, 10, 14, 18, 22 weeks, and 7, 8, 9, 12, 15, 18, 21 and 24 months. * 6,585 DBS specimens collected as part of the KZN IMPACT study of PMTCT effectiveness in six districts of kwaZulu-Natal. The specimens were collected during 2004-2006 from infants aged 4-8 weeks when mothers brought them to clinics for immunisation. These DBS specimens are stored at room temperature, not in freezers. * 3,524 DBS specimens collected as part of the Kesho Bora study from Sep 2007 . They were collected from mothers at enrollment, and from the infants at delivery, 2 weeks, and at 4, 5, 7, 8 and 15 months. * 50,068 Plasma specimens * 28,775 breastmilk specimens * 11,277 breastmilk products (Pellets and lactoserum). These have all been extracted from the BM specimens in prev. item? * 11,188 RNA and DNA products extracted from DBS and plasma specimens from all our major studies. * 5,735 Serum specimens * 3,505 cell pellets * 1,778 whole blood specimens * 1,284 Peripheral Blood Mononuclear Cells from the Kesho Bora study mothers (665) and their children (619) * 179 skin tissue specimens from the KST study (Kaposi's Sarcoma) * 176 foreskins
Proper citation: Africa Centre Biobank (RRID:SCR_000638) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. The Computational Cancer Genomics (CCG) group is dedicated to the development of analysis tools and databases relating molecular sequences and biological functions. Sponsors: This group is supported by the Swiss Institute of Bioinformatics (SIB).
Proper citation: Computational Cancer Genomics Group (RRID:SCR_000772) Copy
http://neuromorphometrics.org:8080/nvm/index.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6, 2023. Software tool for quantitative neuroanatomical measurements in volumetric image data. Used to draw regions of interest for subsequent fMRI analysis.
Proper citation: NVM (RRID:SCR_000600) Copy
A program that provides technical assistance for surveys that aim to advance global understanding of health and population trends in developing countries. The DHS program collects, analyzes, and disseminates accurate and representative data on population, health, HIV, and nutrition through more than 300 surveys in over 90 countries.
Proper citation: DHS Program (RRID:SCR_000905) Copy
http://www.bioconductor.org/packages/2.12/bioc/html/rGADEM.html
R package with tools for de novo motif discovery in large-scale genomic sequence data.
Proper citation: rGADEM (RRID:SCR_001091) Copy
https://scicrunch.org/resolver/SCR_002250
THIS RESOURCE IS NO LONGER IN SERVICE. Documented Jul 19, 2024. Metadatabase manually curated that provides web accessible tools related to genomics, transcriptomics, proteomics and metabolomics. Used as informative directory for multi-omic data analysis.
Proper citation: OMICtools (RRID:SCR_002250) Copy
http://brainproducts.com/productdetails.php?id=17
Software to manage the daily work of analyzing various neurophysiological data. Features include a history tree, automated analysis, various data format readers, and more.
Proper citation: BrainVision Analyzer (RRID:SCR_002356) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016; however, the URL provides links to associated projects and data. A suite of data query, download, upload, analysis and sharing tools serving the needs of the microbial ecology research community, and other scientists using metagenomics data.
Proper citation: Community Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (RRID:SCR_002676) Copy
http://www-01.ibm.com/software/uk/analytics/spss/
Software package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.
Proper citation: SPSS (RRID:SCR_002865) Copy
http://www.broadinstitute.org/gsea/
Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.
Proper citation: Gene Set Enrichment Analysis (RRID:SCR_003199) Copy
Software platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
Proper citation: Cytoscape (RRID:SCR_003032) Copy
http://platform.visiome.neuroinf.jp/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023.Analytical tools. Archive files may be written in any format and may include explanatory figures, program sources, readme files, and other related files. The readme file describes the purpose and usage of the archive file. This data sharing framework allows users to improve the reproducibility of simulations. Users can browse the platform contents via branch sites (A catalogue of illusions, Visitope), which introduce user friendly view of items such as basic images and original artworks of visual illusions with high resolution. The items in Visiome Platform are useful not only for reproducing the published results, but also for advancing and expanding the research in Vision Science.
Proper citation: Visiome Platform (RRID:SCR_003049) Copy
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