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http://scicrunch.org/Aging

Portal devoted to aging relevant scientific data and resources.

Proper citation: Aging Portal (RRID:SCR_000496) Copy   

•   Source: SciCrunch Registry
  

http://gtr.rcuk.ac.uk/project/239F234A-6BF7-4E28-8964-E882BAA8EB77

Project aiming to establish a range of new technologies to enable the synthesis of a range of chemicals from sugar beet pulp (SBP) in a cost-effective and sustainable manner. The chemical and pharmaceutical industries are currently reliant on petrochemical derived intermediates for the synthesis of a wide range of valuable products. Decreasing petrochemical reserves and concerns over costs and greenhouse gas emissions are driving the search for renewable sources of organic synthons. The UK is self-sufficient in the production of SBP which is a by-product of sugar beet production (8 million tonnes grown per year) and processing. The ability to convert SBP into chemicals and pharmaceutical intermediates will therefore have significant economic and environmental benefits. SBP is rich in carbohydrate (nearly 80% by weight) which is made up of roughly equal proportions of 2 biological polymers; cellulose and pectin. To be cost-effective it will be necessary to find uses for each of these substances. The consortium will develop a biorefinery approach for the selective breakdown of both polymers, purification of the breakdown compounds and their use to synthesize a range of added value products such as speciality chemicals, pharmaceuticals and biodegradable polymers. It is already known that cellulose can be broken down into hexose sugars and fermented to ethanol for use in biofuels. The focus is on the release of galacturonic acid and arabinose (from pectin) and their conversion, by chemical or enzymatic means, into added value products. Synthetic Biology methods will also be explored to test the feasibility of metabolically engineering microbial cells to simultaneously breakdown the polymeric feed material and synthesize a desired product, such as aromatic compounds, in a single integrated process. In conducting this research the consortium will adopt a holistic, systems-led, approach to biorefinery design and operation. Computer-based modelling tools will be used to assess the efficiency of raw material, water and energy utilization. Economic and Life Cycle Analysis (LCA) approaches will then be employed to identify the most cost-effective and environmentally benign product and process combinations. The project is supported by a range of industrial partners from raw material producer to intermediate technology providers and end-user chemical and pharmaceutical companies. This is crucial in providing business and socio-economic insights regarding the adoption of renewable resources into their current product portfolios. The company partners will also provide the material and equipment resources for the large-scale verification of project outcomes and their ultimate transition into commercial manufacture. The Intellectual Property (IP) expected to be generated by the consortium will most likely be related to new biocatalysts, synthetic routes, USD devices and modelling software. The data is accessible programmatically using one of three application programming interfaces GtR, GtR-2 and CERIF.

Proper citation: Bio-derived Feedstocks for Sustainable UK-Based Manufacture of Chemicals and Pharmaceutical Intermediates (RRID:SCR_000490) Copy   

•   Source: SciCrunch Registry
  

http://www.allegheny.edu/

A private liberal arts college that offers degrees in social sciences, humanities and natural sciences at the undergraduate level.

Proper citation: Allegheny College; Pennsylvania; USA (RRID:SCR_000369) Copy   

•   Source: SciCrunch Registry
  

https://sites.google.com/site/beckerjeremie/home/nucleofinder

A software for a statistical approach for the detection of nucleosome positions in a cell population. The software identifies important features of nucleosome organization such as the spacing downstream of active promoters and the enrichment and depletion of GC/AT dinucleotides of in vitro nucleosomes.

Proper citation: NucleoFinder (RRID:SCR_000368) Copy   

•   Source: SciCrunch Registry
  

http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%291757-7012

Wiley Interdisciplinary Reviews series combines features of encyclopedic reference works and review journals in innovative online format. They are designed to promote cross-disciplinary research ethos while maintaining the highest scientific and presentational standards, but should be viewed first and foremost as evolving online databases of cutting-edge reviews.

Proper citation: WILEY Interdisciplinary Reviews (RRID:SCR_000392) Copy   

•   Source: SciCrunch Registry
  

http://www.bioconductor.org/packages/release/bioc/html/QUALIFIER.html

Software that provides quality control and quality assessment tools for gated flow cytometry data.

Proper citation: QUALIFIER (RRID:SCR_000389) Copy   

•   Source: SciCrunch Registry
  

https://www.infoquant.com/oneclickcgh

Platform-independent array copy number analysis software that provides straightforward yet comprehensive detection and reporting of copy number changes.

Proper citation: oneClickCGH (RRID:SCR_000294) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/projects/fqzcomp/

A basic fastq compressor, designed primarily for high performance.

Proper citation: fqzcomp (RRID:SCR_000299) Copy   

•   Source: SciCrunch Registry
  

http://www.indeed.com/

A database of job listings

Proper citation: Indeed (RRID:SCR_000292) Copy   

•   Source: SciCrunch Registry
  

http://highwire.stanford.edu/

A division of the Stanford University Libraries, which produces the online versions of journals and other scholarly content.

Proper citation: HighWire Press (RRID:SCR_000761) Copy   

•   Source: SciCrunch Registry
  

http://harvard.eagle-i.net/i/0000012e-58c7-d44f-55da-381e80000000

Core to provide gene expression data analysis service. Activities range from the provision of services to fully collaborative grant funded investigations.

Proper citation: Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility (RRID:SCR_000882) Copy   

•   Source: SciCrunch Registry
  

http://w3.cns.org/university/webinar/index2.asp

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. A series of of webinars offered directly to users' computers. The webinars are offered in a variety of subjects, including neurotrauma, spine, tumor and vascular. Each webinars costs $35 US and offers CME credit.

Proper citation: University of Neurosurgery Webinar Series (RRID:SCR_000639) Copy   

•   Source: SciCrunch Registry
  

http://neuralensemble.org/neo/

A Python package for representing electrophysiology data, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5. The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization. Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.

Proper citation: Neo (RRID:SCR_000634) Copy   

•   Source: SciCrunch Registry
  

http://www.dundee.ac.uk/

University in Scotland, UK that provides undergraduate and doctoral degree programs.

Proper citation: University of Dundee; Scotland; United Kingdom (RRID:SCR_000997) Copy   

•   Source: SciCrunch Registry
  

http://www.tufts.edu/

Private research university in Medford and Somerville, Massachusetts, United States, with additional facilities in Boston and Grafton, as well as Talloires, France. Provides undergraduate, graduate, and professional degree programs.

Proper citation: Tufts University; Massachusetts; USA (RRID:SCR_000994) Copy   

•   Source: SciCrunch Registry
  

http://www.icpsr.umich.edu/icpsrweb/NAHDAP/

Archive that acquires, preserves and disseminates data relevant to drug addiction and HIV research. Collection of data on drug addiction and HIV infection in United States. Most of datasets are raw data from surveys, interviews, and administrative records. They were originally gathered in research projects and for administrative purposes. Some datasets have been used in published studies. Bibliographies of these studies are available . Provides access to research data and technical assistance for data depositors. Provides e-workshops on data preparation and data systems.

Proper citation: National Addiction and HIV Data Archive Program (NAHDAP) (RRID:SCR_000636) Copy   

•   Source: SciCrunch Registry
  

http://www.pasteur-lille.fr/

Pasteur Institute of Lille is an international research institute in Lille, France focused on bettering human health by detecting risk factors in degenerative diseases.

Proper citation: Pasteur Institute of Lille; Lille; France (RRID:SCR_000990) Copy   

•   Source: SciCrunch Registry
  

http://athina.biol.uoa.gr/CAST/

A novel algorithm for low-complexity region detection and selective masking. The algorithm is based on multiple-pass Smith-Waterman comparison of the query sequence against twenty homopolymers with infinite gap penalties. The output of the algorithm is both the masked query sequence for further analysis, e.g. database searches, as well as the regions of low complexity.

Proper citation: CAST (RRID:SCR_000628) Copy   

•   Source: SciCrunch Registry
  

https://team.inria.fr/empenn/research/

Research team focused on research and development of new algorithms in medical imaging, information processing and computer assisted intervention in the context of the pathologies of the central nervous system. Research team jointly affiliated to INSERM (National Institute of Health and Scientific Research), Inria (National Institute of Research in Computer Sciences and Automation) and IRISA / UMR CNRS 6074, University of Rennes I. Multidisciplinary team merging researchers in image processing and medical doctors.

Proper citation: VISAGES Research (RRID:SCR_000749) Copy   

•   Source: SciCrunch Registry
  

http://orwh.od.nih.gov/

The Office of Research on Women's Health (ORWH) is part of the Office of the Director of NIH. ORWH works in partnership with the 27 NIH Institutes and Centers to ensure that women’s health research is part of the scientific framework at the NIH and throughout the scientific community.

Proper citation: NIH Office of Research on Women's Health; Bethesda; Maryland (RRID:SCR_000986) Copy   

•   Source: SciCrunch Registry