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Showing 20 out of 11,619 Resources on page 549

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  • Resource
  • NIF
  • 3 years ago - by Anonymous

BioMoby

The MOBY-S system defines an ontology-based messaging standard through which a client will be able to automatically discover and interact with task-appropriate biological data and analytical service providers, without requiring manual manipulation of data formats as data flows from one provider to the next. The BioMoby project was initiated in 2001 from within the model organism database community. It aimed to standardize methodologies to facilitate information exchange and access to analytical resources, using a consensus driven approach. Six years later, the BioMoby development community is pleased to announce the release of the 1.0 version of the interoperability framework, registry Application Programming Interface and supporting Perl and Java code-bases. Together, these provide interoperable access to over 1400 bioinformatics resources worldwide through the BioMoby platform, and this number continues to grow. Here we highlight and discuss the features of BioMoby that make it distinct from other Semantic Web Service and interoperability initiatives, and that have been instrumental to its deployment and use by a wide community of bioinformatics service providers. Sponsors: Funding was provided by Genome Prairie and Genome Alberta A Bioinformatics Platform for Genome Canada''; Canadian Institutes for Health Research; The Natural Sciences and Engineering Research Council of Canada; The Heart and Stroke Foundation for BC and Yukon; The EPSRC through the myGrid (GR/R67743/01, EP/C536444/1, EP/D044324/1, GR/T17457/01) e-Science projects; The Spanish National Institute for Bioinformatics (INB) through Fundacin Genoma Espaa; The Generation Challenge Programme (GCP; http://www.generationcp.org) of the Consultative Group for International Agricultural Research. :Keywords: Ontology, Messaging, Standard, Client, Automatically, Discovery, Biological, Data, ANalytical, Service, Model, Organism, Database, Java, Platform, Semantic, Bioinformatics,

  • Resource
  • SciCrunch
  • 17 years ago - by Anonymous

Simulated DW-MRI Brain Data Sets for Quantitative Evaluation of Estimated Fiber Orientations

This resource provides simulated DW-MRI brain images and quantitative tools for evaluating the performance of diffusion analysis methods in terms of fiber orientation estimation and false-positive/-negative fiber rates, which are of fundamental importance to tractography based studies. DW data was generated using a multi-tensor model at SNRs of 9, 18 and 36, for sets of 20, 30, 40, 60, 90 and 120 gradient directions. For each combination of SNR and gradient direction set, 10 realizations of data are provided. All data is simulated with a diffusion-weighting of b=1000, as is common for clinical acquisitions.

  • Resource
  • SciCrunch
  • 11 years ago - submitted by Kristen Jensen

Moffitt Cancer Center Molecular Genomics Core Facility

Molecular Genomics Core Facility at Moffitt Cancer Center in Tampa, FL offers services to assess gene expression, epigenetic modification and sequence variation. Performs bulk and single cell RNA and DNA sequencing on Illumina platform, NanoString nCounter, GeneChip and Illumina array services.Offers services to discuss your project and timeline for your project.

  • Resource
  • SciCrunch
  • 3 years ago - submitted by Edyta Vieth

CorMut

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16,2023. Software package for computing correlated mutations based on selection pressure. Three methods are provided for detecting correlated mutations, including conditional selection pressure, mutual information and Jaccard index. The computation consists of two steps: First, the positive selection sites are detected; second, the mutation correlations are computed among the positive selection sites. Note that the first step is optional. Meanwhile, CorMut facilitates the comparison of the correlated mutations between two conditions by the means of correlated mutation network.

  • Resource
  • SciCrunch
  • 12 years ago - by Anonymous

BraTumIA (Brain Tumor Image Analysis)

Segmentation software for multimodal image analysis of brain tumor studies. It performs volumetric segmentation of healthy and tumor tissues by employing multispectral MRI sequences. Segmented tissues include Gray Matter, White Matter, Cerebrospinal Fluid, necrotic core, edema, non-enhancing tumor and enhancing tumor.

  • Resource
  • SciCrunch
  • 11 years ago - submitted by Kristen Jensen

Emory University Rodent Behavioral Core

One of the Emory Integrated Core Facilities (EICF), is supported by Emory University School of Medicine and the Georgia Clinical and Translational Science Alliance. We plan, execute, and analyze behavioral experiments examining activity, arousal, coordinated movement, learning and memory, anxiety, depression, seizure susceptibility, reward/reinforcement, and aggression in mice and rats.

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  • SciCrunch
  • 14 years ago - by Anonymous

AffyRNADegradation

Software package that helps with the assessment and correction of RNA degradation effects in Affymetrix 3' expression arrays. The parameter d gives a robust and accurate measure of RNA integrity. The correction removes the probe positional bias, and thus improves comparability of samples that are affected by RNA degradation.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

PyNIfTI

PyNIfTI is no longer actively developed. At has been superseded by NiBabel -- a pure-Python package that provides everything that PyNIfTI could do, and a lot more. The PyNIfTI module is a Python interface to the NIfTI I/O libraries. Using PyNIfTI, one can easily read and write NIfTI and ANALYZE images from within Python. The NiftiImage class provides pythonic access to the full header information and for a maximum of interoperability the image data is made available via NumPy arrays.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Emory University School of Medicine Flow Cytometry Core Facility

Core provides sorting, sample analysis and analyzer training.Provides quantitative flow cytometric analyses on samples including blood, bone marrow, spleen, serum, plasma, solid tissues, cell extracts to support both clinical and basic research efforts. These analyses will provide insight on cell function and precursors whose abundance can be monitored as biomarkers to predict and follow progression of a wide range of diseases, such as H1N1, yellow fever, dengue, neurodegenerative diseases, stem cell studies.Provides consultations, expert training, and support for all systems and provides access to equipment.

  • Resource
  • SciCrunch
  • 3 years ago - submitted by Edyta Vieth

NIH Toolbox Words-in Noise Test

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Assessment test that measures how much difficulty a person might have hearing in a noisy environment. A recorded voice instructs the participant to listen to and then repeat words. The task becomes increasingly difficult as the background noise gets louder. This test was developed to measure a person's ability to recognize single words presented amid varying levels of background noise. Recommended for participants ages 6-85 and takes approximately six minutes to administer.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Internet Brain Volume Database

A database of brain neuroanatomic volumetric observations spanning various species, diagnoses, and structures for both individual and group results. A major thrust effort is to enable electronic access to the results that exist in the published literature. Currently, there is quite limited electronic or searchable methods for the data observations that are contained in publications. This effort will facilitate the dissemination of volumetric observations by making a more complete corpus of volumetric observations findable to the neuroscience researcher. This also enhances the ability to perform comparative and integrative studies, as well as metaanalysis. Extensions that permit pre-published, non-published and other representation are planned, again to facilitate comparative analyses. Design strategy: The principle organizing data structure is the "publication". Publications report on "groups" of subjects. These groups have "demographic" information as well as "volume" information for the group as a whole. Groups are comprised of "individuals", which also have demographic and volume information for each of the individuals. The finest-grained data structure is the "individual volume record" which contains a volume observation, the units for the observation, and a pointer to the demographic record for individual upon which the observation is derived. A collection of individual volumes can be grouped into a "group volume" observation; the group can be demographically characterized by the distribution of individual demographic observations for the members of the group.

  • Resource
  • SciCrunch
  • 17 years ago - by Anonymous

randomizeR

Software R package for randomization of clinical trials. Provides sound scientific evidence for choice of randomization procedure, on the basis of well founded criteria. Includes functions for generating randomization sequences from various randomization procedures as well as various issues for assessment of randomization procedures.

  • Resource
  • RRID
  • 3 years ago - by Anonymous

Neurotic Physiology

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Blog by Bethany Brookshire on all that is good, bad, and weird in physiology and neuroscience. Scicurious is the pen name of Bethany Brookshire who has a PhD in Physiology from the Wake Forest University School of Medicine. She has a Bachelor of Arts in Philosophy and a Bachelor of Science in Biology from the College of William and Mary. She is currently finishing up a post-doc in psychiatry at the University of Pennsylvania. Her professional interests are in neurophysiology, specifically the interactions of neurotransmitter systems. Having obtained her PhD, she wishes to further her career in science writing, education, and research. You can also find her writing at SciAm blogs.

  • Resource
  • SciCrunch
  • 14 years ago - by Anonymous

ModelGUI

An open source Java-based project intended to provide a graphic user interface (GUI) for interactions between scientists (or enthusiasts) and their data. In its current (beta) form, mgui offers the following functionality: * Cross-platform functionality (with a Java Runtime installation, runs on Linux, Windows, Mac, or Solaris) * 2D rendering of data based upon Java2D, and 3D rendering based upon Java3D * The ability to organize complex datasets into intuitive mgui projects * A processing pipeline interface which allows users to process their datasets with any available Java or native software tools * An extensible I/O framework accommodating a variety of standard and non-standard file formats * Database connectivity using JDBC * Graph visualization based upon the JUNG library * An intuitive Swing-based GUI for managing, querying, and visualizing data * Various CAD-type tools for editing and creating geometry * A computational modelling framework

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  • SciCrunch
  • 14 years ago - by Anonymous

Reads2Map

Software package as collection of WDL workflows to build linkage maps from sequencing reads. WDL workflows to build genetic maps from sequencing reads.

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  • RRID
  • 3 years ago - submitted by Cristiane Taniguti

Vertebrate Skeletal Anatomy Ontology

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. An anatomy ontology covering the vertebrate skeletal system that integrates terms for skeletal cells, tissues, biological processes, organs (skeletal elements such as bones and cartilages), and subdivisions of the skeletal system.

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

PANDA

Software matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, or FA-weighted. The key advantages of PANDA are as follows: # fully-automatic processing from raw DICOM/NIFTI to final outputs; # Supporting both sequential and parallel computation. The parallel environment can be a single desktop with multiple-cores or a computing cluster with a SGE system; # A very friendly GUI (graphical user interface).

  • Resource
  • SciCrunch
  • 13 years ago - by Anonymous

Open Face Homecage Running Wheel

Open source, printable, open faced running wheels for mice residing in home cage that is automated to collect locomotor information such as distance traveled, wheel direction, and velocity. Running wheel system available on GitHub contains code and information to create and run running wheels. System consists of 3D printed wheel, Raspberry Pi 0 W, and supporting components.

  • Resource
  • RRID
  • 3 years ago - submitted by Samantha White

rTANDEM

An R/Bioconductor package that interfaces the X!Tandem protein identification algorithm.

  • Resource
  • SciCrunch
  • 12 years ago - by Anonymous