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https://www.fishersci.com/us/en/brands/I9C8M2YI/quantum-dot-corporation.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented September 15, 2017.\\\\\\
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An Antibody supplier

Proper citation: Quantum Dot Corporation (RRID:SCR_005941) Copy   

•   Source: SciCrunch Registry

http://bio-bigdata.hrbmu.edu.cn/diseasemeth/

Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases.

Proper citation: DiseaseMeth (RRID:SCR_005942) Copy   

•   Source: SciCrunch Registry

http://distild.jensenlab.org/

The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database performs three important tasks: # published GWAS are collected from several sources and linked to standardized, international disease codes ICD10 codes) # data from the International HapMap Project are analyzed to define linkage disequilibrium (LD) blocks onto which SNPs and genes are mapped # the web interface makes it easy to query and visualize disease-associated SNPs and genes within LD blocks. Users can query the database by diseases, SNPs or genes. No matter which of the three query modes was used, an intermediate page will be shown listing all the studies that matched the search with a link to the corresponding publication. The user can select either all studies related to a certain disease or one specific study for which to view the related LD blocks. The DistiLD resource integrates information on: * Associations between Single Nucleotide Polymorphisms (SNPs) and diseases from genome-wide association studies (GWAS) * Links between SNPs and genes based on linkage disequilibrium (LD) data from HapMap For convenience, we provide the complete datasets as two (zipped) tab-delimited files. The first file contains GWAS results mapped to LD blocks. The second file contains all SNPs and genes assigned to each LD block.

Proper citation: DistiLD - Diseases and Traits in LD (RRID:SCR_005943) Copy   

•   Source: SciCrunch Registry

http://www.proquest.com/en-US/products/dissertations/

ProQuest Dissertation Publishing has been publishing dissertations and theses since 1938. In that time, we have published over 2 million graduate works from graduate schools around the world. We have over 700 active university publishing partners, and publish more than 70,000 new graduate works each year. In addition to publishing, we provide access to graduate works for thousands of libraries around the world. Based on your interests, you should find the information you need below: * Authors - Information for authors on why and how to publish their graduate work with us. * Grad Schools & Libraries - Learn about the benefits of publishing, and why to submit online. * Researchers - We can help you find the dissertation or thesis you need.

Proper citation: ProQuest Dissertation Publishing (RRID:SCR_006075) Copy   

•   Source: SciCrunch Registry

http://www.nematodes.org/NeglectedGenomes/ARTHROPODA/

As part of our effort in PhyloGenomics, we have developed the PartiGene ARTHROPODA Database. In these databases, we have analyzed the EST datasets for sixty different arthropod species. To aid searching we have split the interface between four class-based views: Chelicerata, Hexapoda, Crustacea, Myriapoda. Amongst other analyses, we have included Alfried Vogler's lab's PartiGene analysis of ~30 different arthropod species ESTs. A separate access point for that dataset is also available.

Proper citation: PartiGene ARTHROPODA Database (RRID:SCR_006071) Copy   

•   Source: SciCrunch Registry

http://newt-omics.mpi-bn.mpg.de/index.php

Newt-omics is a database, which enables researchers to locate, retrieve and store data sets dedicated to the molecular characterization of newts. Newt-omics is a transcript-centered database, based on an Expressed Sequence Tag (EST) data set from the newt, covering ~50,000 Sanger sequenced transcripts and a set of high-density microarray data, generated from regenerating hearts. Newt-omics also contains a large set of peptides identified by mass spectrometry, which was used to validate 13,810 ESTs as true protein coding. Newt-omics is open to implement additional high-throughput data sets without changing the database structure. Via a user-friendly interface Newt-omics allows access to a huge set of molecular data without the need for prior bioinformatical expertise. The newt Notopthalmus viridescens is the master of regeneration. This organism is known for more than 200 years for its exceptional regenerative capabilities. Newts can completely replace lost appendages like limb and tail, lens and retina and parts of the central nervous system. Moreover, after cardiac injury newts can rebuild the functional myocardium with no scar formation. To date only very limited information from public databases is available. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publicly available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt, that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians. * Number of contigs: 26594 * Number of est in contigs: 48537 * Number of transcripts with verified peptide: 5291 * Number of peptides: 15169

Proper citation: Newtomics (RRID:SCR_006073) Copy   

•   Source: SciCrunch Registry

http://www.nematodes.org/nembase4/

NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets.

Proper citation: NEMBASE (RRID:SCR_006070) Copy   

•   Source: SciCrunch Registry

http://www.w3.org/2011/prov/wiki/Main_Page

Working group to support the widespread publication and use of provenance information of Web documents, data, and resources. The Working Group will publish W3C Recommendations that define a language for exchanging provenance information among applications. The Working Group is based on an extensive review and roadmap developed by a prior incubator group. Specifications: * PROV Primer * PROV Ontology * PROV Data Model * PROV Notation * PROV Constraints * PROV Access and Query

Proper citation: W3C Provenance Working Group (RRID:SCR_005938) Copy   

•   Source: SciCrunch Registry

http://www.wf4ever-project.org/

Project to addresses challenges associated with the preservation of scientific experiments in data-intensive science, including: * The definition of models to describe, in a standard way, scientific experiments by means of workflow-centric Research Objects, which comprise scientific workflows, the provenance of their executions, interconnections between workflows and related resources (e.g., datasets, publications, etc.), and social aspects related to such scientific experiments. * The collection of best practices for the creation and management of Research Objects. * The analysis and management of decay in scientific workflows. To address these challenges they are creating an architecture and tooling for the access, manipulation, sharing, reuse and evolution of Research Objects in a range of disciplines. This will result into the next generation RO-enabled myExperiment.

Proper citation: Workflow4Ever (RRID:SCR_005939) Copy   

•   Source: SciCrunch Registry

http://www.unt.edu/

Public research university in Denton, Texas.

Proper citation: University of North Texas; Texas; USA (RRID:SCR_005935) Copy   

•   Source: SciCrunch Registry

https://www.reprocell.com/en/

An Antibody supplier

Proper citation: ReproCELL Incorporated (RRID:SCR_005973) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/bash-rs-fcmri

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 23, 2015. Of note: most functions have been integrated in 1000 Functional Connectomes Project (www.nitrc.org/projects/fcon_1000). This package is not updated, thus please visit 1000 Functional Connectomes Project site and download relevant bash scripts. BASH Scripts for a resting-state functional MRI study. The functions include seed-based correlation analysis, amplitude analysis and independent component analysis. Note: this tool is just a plug-in for FSL, AFNI and FreeSurfer. Thus, you need have them before you use BASH4RfMRI.

Proper citation: BASH4RfMRI (RRID:SCR_005970) Copy   

•   Source: SciCrunch Registry

http://vbrc.org/index.asp

One of eight Bioinformatics Resource Centers nationwide providing comprehensive web-based genomics resources including a relational database and web application supporting data storage, annotation, analysis, and information exchange to support scientific research directed at viruses belonging to the Arenaviridae, Bunyaviridae, Filoviridae, Flaviviridae, Paramyxoviridae, Poxviridae, and Togaviridae families. These centers serve the scientific community and conduct basic and applied research on microorganisms selected from the NIH/NIAID Category A, B, and C priority pathogens that are regarded as possible bioterrorist threats or as emerging or re-emerging infectious diseases. The VBRC provides a variety of analytical and visualization tools to aid in the understanding of the available data, including tools for genome annotation, comparative analysis, whole genome alignments, and phylogenetic analysis. Each data release contains the complete genomic sequences for all viral pathogens and related strains that are available for species in the above-named families. In addition to sequence data, the VBRC provides a curation for each virus species, resulting in a searchable, comprehensive mini-review of gene function relating genotype to biological phenotype, with special emphasis on pathogenesis.

Proper citation: VBRC (RRID:SCR_005971) Copy   

•   Source: SciCrunch Registry

http://hfv.lanl.gov/content/index

The Hemorrhagic Fever Viruses (HFV) sequence database collects and stores sequence data and provides a user-friendly search interface and a large number of sequence analysis tools, following the model of the highly regarded and widely used Los Alamos HIV database. The database uses an algorithm that aligns each sequence to a species-wide reference sequence. The NCBI RefSeq database is used for this; if a reference sequence is not available, a Blast search finds the best candidate. Using this method, sequences in each genus can be retrieved pre-aligned. Hemorrhagic fever viruses (HFVs) are a diverse set of over 80 viral species, found in 10 different genera comprising five different families: arena-, bunya-, flavi-, filo- and togaviridae. All these viruses are highly variable and evolve rapidly, making them elusive targets for the immune system and for vaccine and drug design. About 55,000 HFV sequences exist in the public domain today. A central website that provides annotated sequences and analysis tools will be helpful to HFV researchers worldwide.

Proper citation: HFV Database (RRID:SCR_006017) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bless-ec/

Software tool for Bloom-filter-based error correction for next-generation sequencing (NGS) reads. The algorithm produces accurate correction results with much less memory.

Proper citation: BLESS (RRID:SCR_005963) Copy   

•   Source: SciCrunch Registry

http://fungidb.org/fungidb/

FungiDB is a database for functional and evolutionary comparison of fungal genomes. FungiDB is a functional genomic resource for pan-fungal genomes that was developed in partnership with the Eukaryotic Pathogen Bioinformatic resource center (http://EuPathDB.org). FungiDB uses the same infrastructure and user interface as EuPathDB, which allows for sophisticated and integrated searches to be performed using an intuitive graphical system. The current release of FungiDB contains genome sequence and annotation from 18 species spanning several fungal classes, including the Ascomycota classes, Eurotiomycetes, Sordariomycetes, Saccharomycetes and the Basidiomycota orders, Pucciniomycetes and Tremellomycetes, and the basal "Zygomycete" lineage Mucormycotina. Additionally, FungiDB contains cell cycle microarray data, hyphal growth RNA-sequence data and yeast two hybrid interaction data. The underlying genomic sequence and annotation combined with functional data, additional data from the FungiDB standard analysis pipeline and the ability to leverage orthology provides a powerful resource for in silico experimentation.

Proper citation: FungiDB (RRID:SCR_006013) Copy   

•   Source: SciCrunch Registry

http://web.mit.edu/Edgerton/www/HighSpeed.html

The MIT Edgerton Center carries on the legacy of Doc Edgerton''s research and teaching by providing the Institute with a continuing expertise in high-speed and scientific imaging. Our facilities include a large studio space, a photographic darkroom, and a digital imaging studio equipped with an array of scanners, digital cameras, printers and plotters, and Macintosh computers. In addition, we have several technical digital cameras, including: * Redlake MASD PCI Motionscope, monochrome high-speed video at up to 8,000 images per second. * Concurrent analog data acquisition via a National Instruments A/D card. * Midas 2.0 motion analysis software from Xcitex, Inc. * NAC Model color high-speed camera (in process of donation). * Redlake MASD Ektapro 1012 high-speed video, monochrome, up to 12,000 images per second. * Redlake MASD Megaplus 1.4i scientific still camera These systems are available for use by interested MIT researchers and instructors, and by students pursuing hands-on projects. Each summer we offer a week-long course on high-speed imaging through the MIT Professional Institute. This subject (6.51s) is designed for scientists, engineers, and photographers who need to gather data on rapidly moving subjects and events for study, motion analysis, and trouble-shooting. Mornings are spent in the lecture hall learning the fundamentals for lighting, imaging technologies, and motion analysis. Afternoons are spent making high-speed images in the laboratory. For MIT students, we offer the popular Strobe Project Lab (6.163) to 24 students each term, where students learn the fundamentals of high-speed imaging and apply these techniques to final projects of their own choosing. Two subjects are offered that investigate digital imaging and image manipulation, SP.757 in Fall terms, and SP.747 in Spring terms.

Proper citation: Edgerton Center High Speed Imaging (RRID:SCR_005960) Copy   

•   Source: SciCrunch Registry

http://jjwanglab.org:8080/gwasdb/

Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3)

Proper citation: GWASdb (RRID:SCR_006015) Copy   

•   Source: SciCrunch Registry

http://equilibrator.weizmann.ac.il/

Web interface designed for thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions. It can provide estimates for compounds in the KEGG database, and individual compounds and enzymes can be searched for by their common names (water, glucosamine, hexokinase). Reactions can be entered in a free-text format that eQuilibrator parses automatically. eQuilibrator also allows manipulation of the conditions of a reaction - pH, ionic strength, and reactant and product concentrations.

Proper citation: eQuilibrator (RRID:SCR_006011) Copy   

•   Source: SciCrunch Registry

http://www.ddcf.org/

The mission of the Doris Duke Charitable Foundation is to improve the quality of people''s lives through grants supporting the performing arts, environmental conservation, medical research and the prevention of child abuse, and through preservation of the cultural and environmental legacy of Doris Duke''s properties. Established in 1996, the foundation supports four national grant-making programs. It also supports three properties that were owned by Doris Duke in Hillsborough, New Jersey; Honolulu, Hawaii; and Newport, Rhode Island. The foundation is headquartered in New York and is governed by a board of 12 Trustees. DDCF''s activities are guided by the will of Doris Duke, who endowed the foundation with financial assets that totaled approximately $1.6 billion as of December 31, 2010. The foundation regularly evaluates and modifies its allocation of resources from the endowment to support the programs and properties and to respond to fluctuations in portfolio returns. The foundation awarded its first grants in 1997. As of December 31, 2011, the foundation has awarded grants totaling more than $1 billion. DDCF awards grants in four core program areas: * The Arts Program supports performing artists with the creation and public performance of their work. * The Environment Program supports efforts that enable communities to protect and manage wildlife habitat and create efficient built environments. * The Medical Research Program seeks to contribute to the prevention and cure of disease by supporting clinical research. * The Child Abuse Prevention Program seeks to protect children from abuse and neglect in order to promote their healthy development. In the fall of 2007, DDCF also launched the African Health Initiative, with the goal of strengthening health systems in sub-Saharan Africa. The Building Bridges Program, which seeks to increase public understanding of Islamic cultures through media and the arts, is funded through the Doris Duke Foundation for Islamic Art and is headquartered in DDCF''s offices in New York. The Properties In her will, Doris Duke requested that several operating foundations manage the properties listed below. She also expressed her wishes that the properties be opened for public visitation and used for educational programs. The operating foundations receive funding from the Doris Duke Charitable Foundation. * The Duke Farms Foundation manages a 2,700-acre property in Hillsborough, New Jersey, which is known as Duke Farms and has a mission of environmental stewardship. * The Doris Duke Foundation for Islamic Art manages Doris Duke''s home in Honolulu, Hawaii, which is known as Shangri La and serves as a center for the study of Islamic art and cultures. * The Newport Restoration Foundation preserves historic houses in Newport, Rhode Island, and operates Doris Duke''s home in Newport known as Rough Point, which is also a public museum.

Proper citation: Doris Duke Charitable Foundation (RRID:SCR_006012) Copy   

•   Source: SciCrunch Registry