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http://cng.gmu.edu:8080/Lm

A freely available software tool available for the Windows and Linux platform, as well as the Online version Applet, for the analysis, comparison and search of digital reconstructions of neuronal morphologies. For the quantitative characterization of neuronal morphology, LM computes a large number of neuroanatomical parameters from 3D digital reconstruction files starting from and combining a set of core metrics. After more than six years of development and use in the neuroscience community, LM enables the execution of commonly adopted analyses as well as of more advanced functions, including: (i) extraction of basic morphological parameters, (ii) computation of frequency distributions, (iii) measurements from user-specified subregions of the neuronal arbors, (iv) statistical comparison between two groups of cells and (v) filtered selections and searches from collections of neurons based on any Boolean combination of the available morphometric measures. These functionalities are easily accessed and deployed through a user-friendly graphical interface and typically execute within few minutes on a set of 20 neurons. The tool is available for either online use on any Java-enabled browser and platform or may be downloaded for local execution under Windows and Linux.

Proper citation: L-Measure (RRID:SCR_003487) Copy   

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http://neuroscienceblueprint.nih.gov/

Collaborative framework that includes the NIH Office of the Director and the 14 NIH Institutes and Centers that support research on the nervous system. By pooling resources and expertise, the Blueprint identifies cross-cutting areas of research, and confronts challenges too large for any single Institute or Center. The Blueprint makes collaboration a day-to-day part of how the NIH does business in neuroscience, complementing the basic missions of Blueprint partners. During each fiscal year, the partners contribute a small percentage of their funds to a common pool. Since the Blueprint's inception in 2004, this pool has comprised less than 1 percent of the total neuroscience research budget of the partners. In 2009, the Blueprint Grand Challenges were launched to catalyze research with the potential to transform our basic understanding of the brain and our approaches to treating brain disorders. * The Human Connectome Project is an effort to map the connections within the healthy brain. It is expected to help answer questions about how genes influence brain connectivity, and how this in turn relates to mood, personality and behavior. The investigators will collect brain imaging data, plus genetic and behavioral data from 1,200 adults. They are working to optimize brain imaging techniques to see the brain's wiring in unprecedented detail. * The Grand Challenge on Pain supports research to understand the changes in the nervous system that cause acute, temporary pain to become chronic. The initiative is supporting multi-investigator projects to partner researchers in the pain field with researchers in the neuroplasticity field. * The Blueprint Neurotherapeutics Network is helping small labs develop new drugs for nervous system disorders. The Network provides research funding, plus access to millions of dollars worth of services and expertise to assist in every step of the drug development process, from laboratory studies to preparation for clinical trials. Project teams across the U.S. have received funding to pursue drugs for conditions from vision loss to neurodegenerative disease to depression. Since its inception in 2004, the Blueprint has supported the development of new resources, tools and opportunities for neuroscientists. For example, the Blueprint supports several training programs to help students pursue interdisciplinary areas of neuroscience, and to bring students from underrepresented groups into the neurosciences. The Blueprint also funds efforts to develop new approaches to teaching neuroscience through K-12 instruction, museum exhibits and web-based platforms. From fiscal years 2007 to 2009, the Blueprint focused on three major themes of neuroscience - neurodegeneration, neurodevelopment, and neuroplasticity. These efforts enabled unique funding opportunities and training programs, and helped establish new resources including the Blueprint Non-Human Primate Brain Atlas.

Proper citation: NIH Blueprint for Neuroscience Research (RRID:SCR_003670) Copy   

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http://vano.cellexplorer.org/

VANO is a Volume image object AnNOtation System for 3D multicolor image stacks, developed by Hanchuan Peng, Fuhui Long, and Gene Myers. VANO provides a well-coordinated way to annotate hundreds or thousands of 3D image objects. It combines 3D views of images and spread sheet neatly, and is just easy to manage 3D segmented image objects. It also lets you incorporate your segmentation priors, and lets you edit your segmentation results! This system has been used in building the first digital nuclei atlases of C. elegans at the post-embryonic stage (joint work with Stuart Kim lab, Stanford Univ), the single-neuron level fruit fly neuronal atlas of late embryos (with Chris Doe lab, Univ of Oregon, HHMI), and the compartment-level of digital map(s) of adult fruit fly brains (several labs at Janelia Farm, HHMI). VANO is cross-platform software. Currently the downloadable versions are for Windows (XP and Vista) and Mac (Intel-chip based, Leopard or Tiger OS). If you need VANO for different systems (such as 64bit or 32bit, Redhat Linux, Ubuntu, etc), you can either compile the software, or send an email to pengh (at) janelia.hhmi.org. VANO is Open-Source. You can download both the source code files and pre-complied versions at the Software Downloads page.

Proper citation: Volume image object AnNOtation System (RRID:SCR_003393) Copy   

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http://www.mindtouch.com/

A web based social authoring and publishing environment that adheres to open standards and RESTful design principals. It provides wiki-like ease of use with a sophisticated web services framework for rapid application development, creating flexible workflows and rapid integration. MindTouch creates a vibrant real-time information fabric by federating content from across enterprise silos, such as CRM, ERP, file servers, email, databases, web services and more.

Proper citation: Mindtouch DekiWiki (RRID:SCR_003425) Copy   

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http://www.addconsortium.org/

A collaborative network among university-led drug discovery centers and programs to allow scientists to exchange technical expertise on drug discovery and development strategies as well as form partnerships with each other, biopharma companies, and drug discovery-focused contract service organizations and consultants. The website will also serve as a repository for drug discovery events, educational material, job postings, and partnership opportunities. Through active member participation this website will become a valuable tool for every scientist working in the drug discovery arena. In addition, involvement of members will enable them to effectively advocate to the NIH and other funding agencies to increase the awareness of the growing number of academic drug discovery scientists and their success as well as their needs.

Proper citation: Academic Drug Discovery Consortium (RRID:SCR_003706) Copy   

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http://portal.ncibi.org/gateway/mimiplugin.html

The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways.

Proper citation: MiMI Plugin for Cytoscape (RRID:SCR_003424) Copy   

•   Source: SciCrunch Registry

http://graphml.graphdrawing.org/

A file format for graphs that consists of a language core to describe the structural properties of a graph and a flexible extension mechanism to add application-specific data. It is based on XML and is ideally suited as a common denominator for all kinds of services generating, archiving, or processing graphs. Its main features include support of * directed, undirected, and mixed graphs, * hypergraphs, * hierarchical graphs, * graphical representations, * references to external data, * application-specific attribute data, and * light-weight parsers.

Proper citation: GraphML (RRID:SCR_003545) Copy   

•   Source: SciCrunch Registry

http://edoctoring.ncl.ac.uk/Public_site/

Online educational tool that brings challenging clinical practice to your computer, providing medical education that is engaging, challenging and interactive. While there is no substitute for real-life direct contact with patients or colleagues, research has shown that interactive online education can be a highly effective and enjoyable method of learning many components of clinical medicine, including ethics, clinical management, epidemiology and communication skills. eDoctoring offers 25 simulated clinical cases, 15 interactive tutorials and a virtual library containing numerous articles, fast facts and video clips. Their learning material is arranged in the following content areas: * Ethical, Legal and Social Implications of Genetic Testing * Palliative and End-of-Life Care * Prostate Cancer Screening and Shared Decision-Making

Proper citation: eDoctoring (RRID:SCR_003336) Copy   

•   Source: SciCrunch Registry

http://rgd.mcw.edu/tools/ontology/ont_search.cgi

Ontology that defines hierarchical display of different rat strains as derived from parental strains. Ontology Browser allows to retrieve all genes, QTLs, strains and homologs annotated to particular term. Covers all types of biological pathways including altered and disease pathways, and to capture relationships between them within hierarchical structure. Five nodes of ontology include classic metabolic, regulatory, signaling, drug and disease pathways. Ontology allows for standardized annotation of rat. Serves as vehicle to connect between genes and ontology reports, between reports and interactive pathway diagrams, between pathways that directly connect to one another within diagram or between pathways that in some fashion are globally related in pathway suites and suite networks.

Proper citation: Rat Strain Ontology (RRID:SCR_003449) Copy   

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https://github.com/alyssafrazee/polyester

An R package designed to simulate RNA sequencing experiments with differential transcript expression. Given a set of annotated transcripts, it will simulate the steps of an RNA-seq experiment (fragmentation, reverse-complementing, and sequencing) and produce files containing simulated RNA-seq reads. Simulated reads can be analyzed using a choice of downstream analysis tools. Polyester has a built-in wrapper function to simulate a case/control experiment with differential transcript expression and biological replicates. Users are able to set the levels of differential expression at transcripts of their choosing. This means they know which transcripts are differentially expressed in the simulated dataset, so accuracy of statistical methods for differential expression detection can be analyzed. Polyester offers several unique features: * Built-in functionality to simulate differential expression at the transcript level * Ability to explicitly set differential expression signal strength * Simulation of small datasets, since large RNA-seq datasets can require lots of time and computing resources to analyze * Generation of raw RNA-seq reads, as opposed to alignments or transcript-level abundance estimates * Transparency/open-source code

Proper citation: Polyester (RRID:SCR_003602) Copy   

•   Source: SciCrunch Registry

http://www.curealzfund.org/

Cure Alzheimer's Fund is a 501(c)(3) public charity. At Cure Alzheimer's Fund, our mission is to fund research with the highest probability of slowing, stopping or reversing Alzheimer's disease. This topical portal has a lot of information including news and blog. Cure Alzheimer's Fund is governed by a board of directors; administered by a small, full-time staff; and guided scientifically by a Research Consortium. A Scientific Advisory Board audits the research program to make sure it is consistent with the objectives of the foundation. Cure Alzheimer's Fund is a doing business as name for the Alzheimer's Disease Research Foundation, federal tax ID # 52-2396428.

Proper citation: Cure Alzheimers Fund (RRID:SCR_003564) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012c-60a9-25c8-c437-ff0b80000000

Core facility that provides the following services: MLV plasmid construction service, HIV plasmid construction service, Adenovirus plasmid construction service. The Harvard Gene Therapy Initiative was founded with the objective of promoting the use of gene therapy in both research and therapeutic applications and to conduct research developing new gene delivery vector technologies.

Proper citation: Harvard Gene Therapy Initiative Core (RRID:SCR_009848) Copy   

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http://harvard.eagle-i.net/i/0000012e-a1a6-4291-55da-381e80000000

Core facility that provides the following services: Progamming and sequencing classes and training. Research Computing (RC) facilitates the advancement of complex research by providing leading edge computing services across the Faculty of Arts & Sciences (FAS). RC staff maintain expertise in constantly changing computing technologies, while ''speaking the language'' of the FAS researchers, to help them use computing more effectively.

Proper citation: Harvard FAS Research Computing Core (RRID:SCR_009844) Copy   

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http://harvard.eagle-i.net/i/0000012e-5e6d-9119-55da-381e80000000

The Flow and Imaging Cytometry Resource provides research flow and imaging cytometry services to all investigators in the PCIMM at Children''s Hospital, Boston and Immune Disease Institute, HMS and the local scientific community on a case-by-case basis. With state of the art instrumentation, such as the standard configuration 3-lasers FACSAria located in BL2+-facility, 20-parameters 4-lasers FACSAria SORP and DIVA FACSVantage SE TurboSort?, the facility offers high speed cell sorting and complex analytical services, development of collaborative projects as well as consulting on design and development of new protocols and methods.

Proper citation: Harvard PCMM Flow and Imaging Cytometry Resource (RRID:SCR_009839) Copy   

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https://joslinresearch.org/drc-cores/Flow-Cytometry-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides cell sorting and flow cytometry services. Specific services include cell analysis, large object sorting,magnetic cell enrichment, and automatic cell counting.

Proper citation: Joslin Diabetes Center Flow Cytometry Core Facility (RRID:SCR_009878) Copy   

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https://joslinresearch.org/drc-cores/Animal-Physiology-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides technically advanced physiological evaluation of metabolism in diabetes, obesity, and their associated complications in rodents for DRC investigators and outside users. It also provides training of investigators and trainees in several physiological procedures.

Proper citation: Joslin Diabetes Center Animal Physiology Core Facility (RRID:SCR_009876) Copy   

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https://joslinresearch.org/drc-cores/Advanced-Microscopy-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides services for performing specific morphological procedures, providing training and access to equipment, maintaining the specialized microscopes, and giving advice and interpretation.

Proper citation: Joslin Diabetes Center Advanced Microscopy Core Facility (RRID:SCR_009875) Copy   

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https://joslinresearch.org/drc-cores/Advanced-Genomics-and-Genetics-Core

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core that provides services for genetic and genomic analysis, including DNA extraction from blood, access to DNA collections from the Core?s repository, SNP genotyping, and support for gene expression studies based on both high-density oligonucleotide arrays and real-time quantitative PCR.

Proper citation: Joslin Diabetes Center Advanced Genomics and Genetics Core Facility (RRID:SCR_009873) Copy   

•   Source: SciCrunch Registry

http://jsu.eagle-i.net/i/0000012c-1c64-7caa-a830-7bcf80000000

The JHS is the largest single-site longitudinal, population-based, cohort study of 5,302 persons initiated in the fall of 2000 to prospectively investigate the determinants of CVD among African Americans in the Jackson, MS metropolitan statistical area. The JHS investigates the various genotype and phenotype factors that affect high blood pressure, heart disease, strokes, diabetes and other important diseases in African Americans. The primary objective of the Jackson Heart Study is to investigate the causes of cardiovascular disease (CVD) in African Americans to learn how to best prevent this group of diseases in the future. More specific objectives include: 1. Identification of factors, which influence the development, and worsening of CVD in African Americans, with an emphasis on manifestations related to high blood pressure (such as remodeling of the left ventricle of the heart, coronary artery disease, heart failure, stroke and disorders affecting the blood vessels of the kidney). 2. Building research capabilities in minority institutions at the undergraduate and graduate level by developing partnerships between minority and majority institutions and enhancing participation of minority investigators in large-scale epidemiologic studies. 3. Attracting minority students to and preparing them for careers in health sciences.

Proper citation: Jackson Heart Study (RRID:SCR_009902) Copy   

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http://harvard.eagle-i.net/i/0000012d-ee0d-d869-b2b9-4d8780000000

Core facility that provides the following services: DNA sequencing service, High volume DNA sequencing, Plasmid verification and primer walking service, PCR purification service, Microsatellite analysis.

The DNA Sequencing Core at the Massachusetts General Hospital functions both as a small-scale sequencing facility and a high-throughput center for large-scale sequencing projects.

Proper citation: MGH CCIB DNA Sequencing Core (RRID:SCR_009915) Copy   

•   Source: SciCrunch Registry