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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.
https://github.com/holtjma/msbwt
A software package for creating, merging, and querying multi-string BWTs.
Proper citation: msbwt (RRID:SCR_000458) Copy
http://www.stanford.edu/~cpatton/maxc.html
A series of programs for determining the free metal concentration in the presence of chelators or total metal given a desired free concentration.
Proper citation: MAXCHELATOR (RRID:SCR_000459) Copy
http://bioconductor.org/packages/release/bioc/html/Rdisop.html
Software for identification of metabolites using high precision mass spectrometry. MS Peaks are used to derive a ranked list of sum formulae, alternatively for a given sum formula the theoretical isotope distribution can be calculated to search in MS peak lists.
Proper citation: Rdisop (RRID:SCR_000453) Copy
http://bsec.ornl.gov/AdaptiveCrawler.shtml
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 9,2022. A web crawler that can intelligently acquire social media content on the Internet to meet the specific online data source acquisition needs of cancer researchers.
Proper citation: AdaptiveCrawler (RRID:SCR_000573) Copy
The mission of the National Spasmodic Dysphonia Association is to advance medical research into the causes of and treatments for spasmodic dysphonia, promote physician and public awareness of the disorder, and provide support to those affected by spasmodic dysphonia.
Proper citation: National Spasmodic Dysphonia Association (RRID:SCR_000447) Copy
https://resource.loni.usc.edu/resources/atlases/
Probabilistic reference system for human brain, including tools to establish this reference system for structural and functional anatomy on both macroscopic (in vivo) and microscopic (post mortem) levels. Project has expanded neuroinformatics tools for data sharing and created Conforming Site System that allows laboratories worldwide to contribute data to evolving atlas. Through implementation of ICBM data sharing policy space, they are fostering data exchange while still providing for scientific credit assignment and subject confidentiality.ICBM atlas collection consists of ICBM Template, tool developed to provide reference that includes both set of coordinates and associated anatomical labels; the ICBM 452 T1 atlas, average of T1-weighted MRIs of normal young adult brains, ICBM probabilistic atlases, and Cytoarchitectonic Atlas. ICBM Subject Database is web-based database infrastructure that simplifies image dataset collection, organization and dissemination. Authorized users may view representations of data and form collections of datasets that can be downloaded or fed directly into Pipeline environment for distributed processing and analysis.
Proper citation: International Consortium for Brain Mapping (RRID:SCR_000445) Copy
Software automated coordinate based system to retrieve brain labels from the 1988 Talairach Atlas. Talairach Daemon database contains anatomical names for brain areas using x-y-z coordinates defined by the 1988 Talairach Atlas.
Proper citation: Talairach Daemon (RRID:SCR_000448) Copy
https://github.com/PacificBiosciences/stsPlots
Software to plot primary analysis quality control metrics to assess potential SMRTcell loading problems.
Proper citation: stsPlots (RRID:SCR_000449) Copy
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
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
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
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
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
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
http://www.helsinki.fi/bsg/software/BEBaC/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for Bayesian estimation of bacterial communities.
Proper citation: BEBaC (RRID:SCR_000621) Copy
A software application and database viewing system for genomic research, more specifically formulti-genome comparison and pattern discovery via genome self-comparison. Data are available for a range of species including Human Chr3, Human Chr12, Sea Urchin, Tribolium, and cow. The Genboree Discovery System is the largest software system developed at the bioinformatics laboratory at Baylor in close collaboration with the Human Genome Sequencing Center. Genboree is a turnkey software system for genomic research. Genboree is hosted on the Internet and, as of early 2007, the number of registered users exceeds 600. While it can be configured to support almost any genome-centric discovery process, a number of configurations already exist for specific applications. Current focus is on enabling studies of genome variation, including array CGH studies, PCR-based resequencing, genome resequencing using comparative sequence assembly, genome remapping using paired-end tags and sequences, genome analysis and annotation, multi-genome comparison and pattern discovery via genome self-comparison. Genboree database and visualization settings, tools, and user roles are configurable to fit the needs of specific discovery processes. Private permanent project-specific databases can be accessed in a controlled way by collaborators via the Internet. Project-specific data is integrated with relevant data from public sources such as genome browsers and genomic databases. Data processing tools are integrated using a plug-in model. Genboree is extensible via flexible data-exchange formats to accommodate project specific tools and processing steps. Our Positional Hashing method, implemented in the Pash program, enables extremely fast and accurate sequence comparison and pattern discovery by employing low-level parallelism. Pash enables fast and sensitive detection of orthologous regions across mammalian genomes, and fast anchoring of hundreds of millions of short sequences produced by next-generation sequencing technologies. We are further developing the Pash program and employing it in the context of various discovery pipelines. Our laboratory participates in the pilot stage of the TCGA (The Cancer Genome Atlas) project. We aim to develop comprehensive, rapid, and economical methods for detecting recurrent chromosomal aberrations in cancer using next-generation sequencing technologies. The methods will allow detection of recurrent chromosomal aberrations in hundreds of small (
Proper citation: Genboree Discovery System (RRID:SCR_000747) Copy
http://bioconductor.org/packages/release/bioc/html/flipflop.html
Software that discovers which isoforms of a gene are expressed in a given sample together with their abundances, based on RNA-Seq read data.
Proper citation: FlipFlop (RRID:SCR_000625) Copy
THIS RESOURCE IS NO LONGER IN SERVICE, documented July 19, 2016. This site is built and maintained by the Madhani Lab, Dept. of Biochemistry and Biophysics at the University of California, San Francisco
Proper citation: CryptoBase (RRID:SCR_000780) Copy
http://www.stanford.edu/group/nusselab/cgi-bin/wnt/
A resource for members of the Wnt community, providing information on progress in the field, maps on signaling pathways, and methods. The page on reagents lists many resources generously made available to and by the Wnt community. Wnt signaling is discussed in many reviews and in a recent book. There are usually several Wnt meetings per year.
Proper citation: Wnt homepage (RRID:SCR_000662) Copy
A database software for managing, analyzing and sharing information across multiple devices and people, both online and offline.
Proper citation: FileMaker (RRID:SCR_000783) Copy
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