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http://www.openmicroscopy.org/site

Open tools to support data management for biological light microscopy produced by a multi-site collaborative effort among academic laboratories and a number of commercial entities. Designed to interact with existing commercial software, all OME formats and software are free, and all OME source code is available under the GNU General public license or through commercial license from Glencoe Software. OME is developed as a joint project between research-active laboratories at the Dundee, NIA Baltimore, and Harvard Medical School and LOCI. In addition, OME has active collaborations with many imaging and informatics groups. While many other applications could use OME''s architecture and design, their specific implementation is focused on biological and biomedical imaging. Those interested in applying OME''s technology to other applications should contact the developers. OME work is divided into several different standards and software projects: * Bio-Formats: A Java-based library for reading and writing over 90 microscopy file formats. * OMERO Software: The Java-based OMERO software project, which currently includes tools for storing, visualizing, managing, and annotating microscopic images and metadata. * OME-XML & OME-TIFF: The OME-XML and OME-TIFF file format specifications, which are open file formats for sharing microscope image data. * OME Server: This was the original OME server project which has now ended and is a legacy product. It implements image-based analysis of cellular dynamics and image-based screening of cellular localization or phenotypes, and included a fully developed version of the 2003 version of OME-XML Schema language.

Proper citation: OME - Open Microscopy Environment (RRID:SCR_008849) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/dfbidb/

A suite of tools for efficient management of neuroimaging project data. Specifically, DFBIdb was designed to allow users to quickly perform routine management tasks of sorting, archiving, exploring, exporting and organising raw data. DFBIdb was implemented as a collection of Python scripts that maintain a project-based, centralised database that is based on the XCEDE 2 data model. Project data is imported from a filesystem hierarchy of raw files, which is an often-used convention of imaging devices, using a single script that catalogues meta-data into a modified XCEDE 2 data model. During the import process data are reversibly anonymised, archived and compressed. The import script was designed to support multiple file formats and features an extensible framework that can be adapted to novel file formats. Graphical user interfaces are provided for data exploration. DFBIdb includes facilities to export, convert and organise customisable subsets of project data according to user-specified criteria.

Proper citation: DFBIdb (RRID:SCR_009456) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/diamond/

Software to: view dicom files and assemble them into 3D volumes. View and convert between Analyze, Nifti, and Interfile. Classify and organize dicoms and 3D volumes using metadata. Search and report on a collection of scans.

Proper citation: DIAMOND (RRID:SCR_009457) Copy   

•   Source: SciCrunch Registry
  

https://CRAN.R-project.org/package=gma

Software package to perform Granger mediation analysis for time series. Includes single level GMA model and two-level GMA model, for time series with hierarchically nested structure.

Proper citation: GMA (RRID:SCR_009212) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/cbs-tools/

A fully automated processing pipeline for cortical analysis of structural MR images at a resolution of up to 400������m, including skull stripping, whole brain segmentation, cortical extraction, surface inflation and mapping, as well as dedicated tools for profile estimation across the cortical thickness. The tools are released as a set of plug-ins for the MIPAV software package and the JIST pipeline environment. They are therefore cross-platform and compatible with a wide variety of file formats.

Proper citation: CBS High-Res Brain Processing Tools (RRID:SCR_009452) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/ccseg/

An open-source C++-based application that allows automatic as well as user-interactive segmentation of the Corpus Callosum. Via a Qt-based graphical user interface, CCSeg also performs semi-automatic segmentation.

Proper citation: CCSeg - Corpus Callosum Segmentation (RRID:SCR_009453) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/brainsolution/

A collection of tools for MRI T1 brain image segmentation in the Windows environment. It helps construct a complete pipeline with necessary preprocessing and postprocessing procedures besides brainparser, the core program of our fast brain segmentation. The execution of the whole pipeline can be completed in 2 hours with good segmentation results. Execution requires: FSL

Proper citation: BrainSolution (RRID:SCR_009447) Copy   

•   Source: SciCrunch Registry
  

http://www.mmpc.org

Center mission is to advance medical and biological research by providing the scientific community with standardized, high quality metabolic and physiologic phenotyping services for mouse models of diabetes, diabetic complications, obesity and related disorders.

Proper citation: National Mouse Metabolic Phenotyping Centers (RRID:SCR_008997) Copy   

•   Source: SciCrunch Registry
  

http://www.biomatik.com/

An Antibody supplier, Core facility

Proper citation: Biomatik (RRID:SCR_008944) Copy   

•   Source: SciCrunch Registry
  

https://www.beckmancoulter.com/

An Organization portal, Material service resource, Antibody supplier, Instrument supplier

Proper citation: Beckman Coulter (RRID:SCR_008940) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/frat/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on November 05, 2013. It has been superseeded by the CALATK, available here http://www.calatk.org c++ libraries and applications for performing fluid registration based operations on 2D and 3D images. The registration method is based on the large displacement diffeomorphic mapping (LDDM) registration method and implements discretized fluid registration. This registration method is then applied to time series analysis, cross-sectional atlas building, and longitudinal atlas building. The individual tool components are: * LDDM: Fluid registration between two images. * TimeSeries: Time series analysis of longitudinal data for a single subject. * AtlasBuilder: Cross-sectional atlas building for a population of images. * LongitudinalAtlasBuilder: Longitudinal atlas building for a population of subjects, each with a longitudinal data set. * FRATUtils: A collection of utility functions for working with volumes and time series files

Proper citation: Fluid Registration and Atlas Toolkit (RRID:SCR_009478) Copy   

•   Source: SciCrunch Registry
  

http://www.hapsample.org/

Web application for simulating SNP genotypes for case-control and affected-child trio studies by resampling from Phase I/II HapMap SNP data. The user provides a list of SNPs to be genotyped, along with a disease model file that describes causal SNPs and their effect sizes. The simulation tool is appropriate for candidate regions or whole-genome scans. (entry from Genetic Analysis Software)

Proper citation: HAP-SAMPLE (RRID:SCR_009234) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/fips/

A FSL package for the comprehensive management of large-scale multi-site fMRI projects, including data storage, retrieval, calibration, analysis, multi-modal integration, and quality control.

Proper citation: FBIRN Image Processing Scripts (RRID:SCR_009471) Copy   

•   Source: SciCrunch Registry
  

http://www.biomedcentral.com/1471-2105/14/357/abstract

Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data. R code is available from the corresponding author.

Proper citation: A sample size calculation method (RRID:SCR_009469) Copy   

•   Source: SciCrunch Registry
  

https://www.coursera.org/

An open course site where you can take the World''s Best Courses, Online, For Free. We are a social entrepreneurship company that partners with the top universities in the world to offer courses online for anyone to take, for free. We envision a future where the top universities are educating not only thousands of students, but millions. Our technology enables the best professors to teach tens or hundreds of thousands of students. Through this, we hope to give everyone access to the world-class education that has so far been available only to a select few. We want to empower people with education that will improve their lives, the lives of their families, and the communities they live in. Our Courses Classes offered on Coursera are designed to help you master the material. When you take one of our classes, you will watch lectures taught by world-class professors, learn at your own pace, test your knowledge, and reinforce concepts through interactive exercises. When you join one of our classes, you''ll also join a global community of thousands of students learning alongside you. We know that your life is busy, and that you have many commitments on your time. Thus, our courses are designed based on sound pedagogical foundations, to help you master new concepts quickly and effectively. Key ideas include mastery learning, to make sure that you have multiple attempts to demonstrate your new knowledge; using interactivity, to ensure student engagement and to assist long-term retention; and providing frequent feedback, so that you can monitor your own progress, and know when you''ve really mastered the material. We offer courses in a wide range of topics, spanning the Humanities, Medicine, Biology, Social Sciences, Mathematics, Business, Computer Science, and many others. Whether you''re looking to improve your resume, advance your career, or just learn more and expand your knowledge, we hope there will be multiple courses that you find interesting.

Proper citation: Coursera (RRID:SCR_008931) Copy   

•   Source: SciCrunch Registry
  

http://www.cibiv.at/~niko/ngc/

A compressor for aligned HTS sequencing data that enables the complete lossless and lossy compression of mapped alignment data stored in SAM/BAM files.

Proper citation: NGC (RRID:SCR_009342) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/dwiregistration/

This code registers linearly and non-linearly Diffusion Weighted Magnetic Resonance Images (DW-MRIs) by extending FLIRT (linear registration of 3D scalar volumes) and FNIRT (non-linear registration of 3D scalar volumes) in the FMRIB Software Library (FSL) to work with 4D volumes. The basis for registering DW-MRIs is the concept of Angular Interpolation (Tao, X., Miller, J. V., 2006. A method forregistering diffusion weighted magnetic resonance images. In: MICCAI. Vol. 9. pp. 594?602), which is implemented and extended to non-linear registration, based on the FLIRT and FNIRT models in FSL. See http://www.frontiersin.org/Brain_Imaging_Methods/10.3389/fnins.2013.00041/abstract. The code does not overwrite FLIRT, FNIRT or any of the FSL C++ code. It is added as FLIRT4D, FNIRT4D and supporting cost functions. The makefiles will however be overwritten to compile the new code, without affecting any version of FSL.

Proper citation: DW-MRI registration in FSL (RRID:SCR_009461) Copy   

•   Source: SciCrunch Registry
  

http://www.nitrc.org/projects/dbgapcleaner/

Tool to assist site staff with curation of data dictionary, data item, and subject item files for preparation to uploading and sharing data with DbGaP resource.

Proper citation: DbGaP Cleaner (RRID:SCR_009462) Copy   

•   Source: SciCrunch Registry
  

https://sekisuidiagnostics.com/all-products/

An Antibody supplier.

Proper citation: AMERICAN DIAGNOSTICA (RRID:SCR_008928) Copy   

•   Source: SciCrunch Registry
  

http://hymenopteragenome.org/beebase/

Gene sequences and genomes of Bombus terrestris, Bombus impatiens, Apis mellifera and three of its pathogens, that are discoverable and analyzed via genome browsers, blast search, and apollo annotation tool. The genomes of two additional species, Apis dorsata and A. florea are currently under analysis and will soon be incorporated.BeeBase is an archive and will not be updated. The most up-to-date bee genome data is now available through the navigation bar on the HGD Home page.

Proper citation: BeeBase (RRID:SCR_008966) Copy   

•   Source: SciCrunch Registry