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http://www.neuroanatomy.ca/

The WEB ATLAS contains photographs of dissected brains showing important structures. The diagrams folder contains drawings showing functionally important parts of the brain as well as drawings of dissections adapted from C.G. Smith. We are particularly pleased to make Nan Cheney''s medical illustrations of the brain and the head available. The STROKE MODEL portion of the website has syndromes associated with strokes of different vessels of the brain as well as extensive diagrams and tables about the vessels of the brain. The 3D RECONSTRUCTIONS featured on this website were made from MRI scans through the brain - where indicated the source material was from the NIH Visible Human Project. The website will also contain material important for the neuroanatomy labs for med students at UBC. Weekly quizzes will help you keep up with studying the material, the podcasts will help you review material presented in the labs, and the weekly wikis will help you share information with your peers.

Proper citation: Neuroanatomy at UBC (RRID:SCR_008744) Copy   

•   Source: SciCrunch Registry

http://lrcv-crp-sante.s3-website-us-east-1.amazonaws.com/

A gene set analysis algorithm for biomarker identification in the cloud.

Proper citation: YunBe (RRID:SCR_008740) Copy   

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http://www.gnuplot.info/

Gnuplot is a portable command-line driven graphing utility for linux, OS/2, MS Windows, OSX, VMS, and many other platforms. The source code is copyrighted but freely distributed (i.e., you don''t have to pay for it). It was originally created to allow scientists and students to visualize mathematical functions and data interactively, but has grown to support many non-interactive uses such as web scripting. It is also used as a plotting engine by third-party applications like Octave. Gnuplot has been supported and under active development since 1986. Gnuplot supports many types of plots in either 2D and 3D. It can draw using lines, points, boxes, contours, vector fields, surfaces, and various associated text. It also supports various specialized plot types. Demos here. Gnuplot supports many different types of output: interactive screen terminals (with mouse and hotkey input), direct output to pen plotters or modern printers, and output to many file formats (eps, fig, jpeg, LaTeX, metafont, pbm, pdf, png, postscript, svg, ...). Gnuplot is easily extensible to include new output modes. Recent additions include an interactive terminal based on wxWidgets and the creation of mousable graphs for web display using the HTML5 canvas element.

Proper citation: Gnuplot (RRID:SCR_008619) Copy   

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http://www.broadinstitute.org/cancer/cga/invex/

A permutation-based method (written in Python) for ascertaining genes with a somatic mutation distribution showing evidence of positive selection for non-silent mutations.

Proper citation: InVEx (RRID:SCR_008734) Copy   

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http://www.textpresso.org/

An information extracting and processing package for biological literature that can be used online or installed locally via a downloadable software package, http://www.textpresso.org/downloads.html Textpresso's two major elements are (1) access to full text, so that entire articles can be searched, and (2) introduction of categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or describe one (e.g., methods, etc). A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. The Textpresso project serves the biological and biomedical research community by providing: * Full text literature searches of model organism research and subject-specific articles at individual sites. Major elements of these search engines are (1) access to full text, so that the entire content of articles can be searched, and (2) search capabilities using categories of biological concepts and classes that relate two objects (e.g., association, regulation, etc.) or identify one (e.g., cell, gene, allele, etc). The search engines are flexible, enabling users to query the entire literature using keywords, one or more categories or a combination of keywords and categories. * Text classification and mining of biomedical literature for database curation. They help database curators to identify and extract biological entities and facts from the full text of research articles. Examples of entity identification and extraction include new allele and gene names and human disease gene orthologs; examples of fact identification and extraction include sentence retrieval for curating gene-gene regulation, Gene Ontology (GO) cellular components and GO molecular function annotations. In addition they classify papers according to curation needs. They employ a variety of methods such as hidden Markov models, support vector machines, conditional random fields and pattern matches. Our collaborators include WormBase, FlyBase, SGD, TAIR, dictyBase and the Neuroscience Information Framework. They are looking forward to collaborating with more model organism databases and projects. * Linking biological entities in PDF and online journal articles to online databases. They have established a journal article mark-up pipeline that links select content of Genetics journal articles to model organism databases such as WormBase and SGD. The entity markup pipeline links over nine classes of objects including genes, proteins, alleles, phenotypes, and anatomical terms to the appropriate page at each database. The first article published with online and PDF-embedded hyperlinks to WormBase appeared in the September 2009 issue of Genetics. As of January 2011, we have processed around 70 articles, to be continued indefinitely. Extension of this pipeline to other journals and model organism databases is planned. Textpresso is useful as a search engine for researchers as well as a curation tool. It was developed as a part of WormBase and is used extensively by C. elegans curators. Textpresso has currently been implemented for 24 different literatures, among them Neuroscience, and can readily be extended to other corpora of text.

Proper citation: Textpresso (RRID:SCR_008737) Copy   

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http://www.scangrants.com/

A listing of grants and other funding types to support health research, programs and scholarship. Funding sources most frequently listed on ScanGrants include those of private foundations, corporations, businesses, and not-for profit organizations. Finding and listing less traditional funding opportunities is also a priority. Federal and state funding sources are typically not included on ScanGrants because they are readily available on other sites (e.g., www.grants.gov). The funding sources listed on ScanGrants may be of interest to virtually anyone associated with the health field medical researchers, social workers, nurses, students, community-based health educators, academics and others. They include grants, scholarships, fellowships, prizes for scientific achievement or distinguished service, travel awards to professional meetings, abstract, essay and poster awards among other sources of funding. ScanGrants is a free resource that lists funding opportunities for researchers and students at many stages of their research projects or careers. Examples include: poster awards for completed projects; travel grants that could help finance trips to meetings that would enable you to discuss with peers in your field projects you are contemplating undertaking or in the midst of; calls for nominations for science prizes you could nominate colleagues you admire for; and announcements of funding for programs for violence or disease prevention. We invite you to give ScanGrants a try. If you would like your grant or scholarship announcement reviewed for possible posting on ScanGrants, please fill out the form with your name, email address, link to the original online listing of the funding opportunity, the title of the grant or scholarship and as much additional detail as possible.

Proper citation: ScanGrants (RRID:SCR_008736) Copy   

•   Source: SciCrunch Registry

http://www.moffitt.org/

H. Lee Moffitt Cancer Center & Research Institute has made a lasting commitment to the prevention and cure of cancer, working tirelessly in the areas of patient care, research and education to advance one step further in fighting this disease. As part of an elite group of National Cancer Institute (NCI) Comprehensive Cancer Centers, Moffitt focuses on the development of early stage translational research aimed at the rapid translation of scientific discoveries to benefit patient care. Since the first patient admission in October 1986, Moffitt physicians, scientists and staff members have worked together to establish a tradition of excellence offered in an atmosphere characterized by kindness, caring and hope. The Cancer Center''s future growth in clinical care and research rests firmly on this tradition and makes possible the changes ahead. The mission of Moffitt Cancer Center is to contribute to the prevention and cure of cancer. Moffitt''s vision is to be the leader in scientific discovery and translation into compassionate care, cures, and prevention of cancer for our community and the world. As it grows to fulfill its mission, the Cancer Center will continue to be distinguished by its compassionate and effective patient care. Moffitt Cancer Center is a not-for-profit institution. It includes private patient rooms, the Southeast''s largest Blood and Marrow Transplant Program, outpatient treatment programs that record more than 320,500 visits a year, the Moffitt Research Center, Moffitt Cancer Center at International Plaza and the Lifetime Cancer Screening & Prevention Center.

Proper citation: Moffitt Cancer Center (RRID:SCR_008730) Copy   

•   Source: SciCrunch Registry

http://helix.wustl.edu/dcaps/dcaps.html

A simple program for finding nearly matched primers Sponsor: This material is based upon work supported by the National Science Foundation under Grant No. 0114726.

Proper citation: dCAPS Finder (RRID:SCR_008612) Copy   

•   Source: SciCrunch Registry

http://www.ctspedia.org/do/view/CTSpedia

CTSpedia is a national effort to collect wisdom, tools, educational materials, and other items useful for clinical and translational researchers and to provide timely and useful advice to clinical and translational researchers with specific problems. The CTSpedia is a collaborative vehicle for the CTSA''s Biostatistics/Epidemiology/Research/Design (BERD) Online Resources and Education taskforce to identify and share resources across the national consortium and community researchers world-wide. With the support of the national BERD consortia, the project obtained funding and support from the National Center for Research Resources (NCRR) to expand the original scope and content of CTSpedia and foster collaboration amongst CTSAs. The main goal of CTSpedia.org is to create a definable academic home on the internet for the discipline of clinical and translational sciences across the country and the world. * While the CTSA consortium serves the onsite physical level of the institutions involved, CTSpedia.org seeks to fill the gaps where the network is lacking, and to augment that network as the central hub for the peer to peer sharing of knowledge and resources. * While the CTSA national scope comes to fruition, the international scope of the consortia is more readily facilitated with an online resource like CTSpedia. * Utilizing the collaborative nature of the wiki-style website, CTSpedia.org allows for researchers anywhere in the world to ask questions and receive answers and related information in a timely and efficient manner, overcoming the logistical issues of distance and scheduling. * The streamlined availability of an online resource and knowledge repository will aid in addressing common issues that arise in clinical research, which will filter out consultation requests for minor questions, allowing for CTSA consultants to address more prevalent consultations.

Proper citation: CTSpedia (RRID:SCR_008733) Copy   

•   Source: SciCrunch Registry

http://www.braintelemetry.com

The LVC64 accepts 64 microvolt-level buffered input signals from headstage preamps and serves as a 24-bit recording device. It is connected to a PC with an USB2.0 cable and provides a complete digital system to record broadband bioelectric signals. It has two parts such as a 64-channel ADC unit and a digital interface & power supply unit. Between these units there is a slip ring commutator and a DC motor. The main features of the LVC system include: Up to 128 Analog inputs per system; Each Analog input is sampled with an individual 24 bit delta-sigma A/D converter Analog inputs are simultaneously sampled at 1750 to 32000 samples per second In addition to multiple unit activity - the EEG, field potentials and behavioral marker signals are recorded simultaneously in the same file Full scale analog input range is 5 millivolts RMS (14 mV peak-to-peak) Analog inputs are differential inputs Extremely low input referred noise levels of max. 8 uV peak-to-peak Direct headstage tether and tether extension cable inputs Slip ring commutator for un-twisting the twisted tether cable Headstage power supplies Up to 24 bit TTL compatible Parallel Input Port for monitoring external signals and external Timestamp Clock input and output for multiple system synchronization Totally electrically isolated system from AC Power and Ground ''Microvolts-to-harddisk dumper'' data acquisition program running in host PC (32-bit MS Window XP) Online display of records during data acquisition in Host PC''s monitor Offline spike sorting by Cooperative Linux software of the Host PC

Proper citation: Braintelemetry (RRID:SCR_008607) Copy   

•   Source: SciCrunch Registry

http://www.brainvoyager.de/BV2000OnlineHelp/BrainVoyagerWebHelp/Talairach_brain_atlas.htm

The Talairach brain atlas visualized via BrainVoyager (Commercial software) can be used to visualize Brodmann areas as they were defined for the Talairach brain (Talairach & Tournaux, 1988) and to compare regions of subjects with respect to the Brodmann areas. The demarcated areas are based on the Talairach demon, which is a digitized version of the Talairach atlas and which has been transferred into BrainVoyager VOI files by Matthias Ruf, Mannheim. Using the Brodman.voi file you may ask questions like the following: What is the signal time course of subject N in experiment A within Brodmann area X ?. Note, however, that the defined areal boundaries should be used only as a rough guideline for determining the location of activated regions: There is substantial variation of histologically defined areas between subjects. Since cytoarchitectonically defined Brodmann areas are not available in vivo, we advise to use the provided information with care. The TalairachBrain.vmr file is located in the same folder as your BrainVoyager executable file. It can be loaded as any VMR project by using the Open... item in the File menu (or the Open icon). The TalairachBrain.vmr file is also loaded automatically when using the glass brain visualization tool.

Proper citation: BrainVoyager: Talairach Brain Atlas (RRID:SCR_008800) Copy   

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http://tigger.uic.edu/~cjeffery/

The moonlighting protein database is not yet available publicly. Stay tuned. Moonlighting proteins have multiple, seemingly unrelated functions not due to gene fusions or alternative splicing. Like PGI, which is a cytosolic enzyme and an extracellular cytokine, dozens of other proteins have been found to moonlight. Connie coined the term moonlighting proteins and has written several review articles that develop the idea of moonlighting proteins and describe additional moonlighting proteins from the literature, how they switch between functions, how they might have evolved, and how they might benefit the cell. She is currently writing two additional invited articles and planning computational studies of the sequences and structures of known moonlighting proteins.

Proper citation: MoonProt (RRID:SCR_008803) Copy   

•   Source: SciCrunch Registry

http://www.cumc.columbia.edu/dept/taub/index.html

An institute which conducts research of Alzheimer's, Parkinson's and other age-related brain diseases. This organization also provides clinical evaluations to patients with memory problems, Alzheimer's disease or other types of dementia. Furthermore, the institute leads multi-center clinical trials for the treatment and prevention of Alzheimer's, Parkinson's and other age-related brain diseases. There is a brain donation program for enrolled/examined patients. The Education Core of the Taub Institute sponsors community events and Continuing Medical Education programs, as well as the distribution of periodic newsletters and brochures highlighting research developments and other Alzheimer's topics.

Proper citation: Taub Institute for Research on Alzheimers Disease and the Aging Brain (RRID:SCR_008802) Copy   

•   Source: SciCrunch Registry

http://madrc.mgh.harvard.edu/

An Alzheimer's disease research center which supports new research and enhances ongoing research by providing core support to bringing together behavioral, biomedical, and clinical scientists. The Center conducts multidisciplinary research, trains scientists, and spreads information about Alzheimer's disease and related disorders to the general public. The principal goal of the Massachusetts ADRC is to support research in aging, Alzheimer's Disease and other related disorders. Researchers work with national and international multi-disciplinary teams to understand: normal aging, the transition from normal aging to mild forms of memory problems, and the later stages of dementia. The Massachusetts ADRC has an active brain donation program at the Massachusetts General Hospital (MGH) for patients as well as subjects enrolled in research studies.

Proper citation: Massachusetts Alzheimer's Disease Research Center (RRID:SCR_008764) Copy   

•   Source: SciCrunch Registry

http://www.aniara.com

An Antibody supplier

Proper citation: Aniara (RRID:SCR_008885) Copy   

•   Source: SciCrunch Registry

https://www.radc.rush.edu/res/ext/home.htm

An Alzheimer's disease center which researches the cause, treatment and prevention of Alzheimer's disease with a focus on four main areas of research: risk factors for Alzheimer's and related disorders, the neurological basis of the disease, diagnosis, and treatment. Data includes a number of computed variables that are available for ROS, MAP and MARS cohorts. These variables are under categories such as affect and personality, chronic medical conditions, and clinical diagnosis. Specimens include ante-mortem and post-mortem samples obtained from subjects evaluated by ROS, MAP and clinical study cores. Specimen categories include: Brain tissue (Fixed and frozen), Spinal cord, Muscles (Post-mortem), and Nerve (Post-mortem), among other types of specimens. Data sharing policies and procedures apply to obtaining ante-mortem and post-mortem specimens from participants evaluated by the selected cohorts of the RADC.

Proper citation: Rush Alzheimer's Disease Center (RRID:SCR_008763) Copy   

•   Source: SciCrunch Registry

http://www.mc.uky.edu/coa/

A center which focuses on research dedicated to the aging process and age-related brain diseases, as well as education, outreach, and clinical programs that promote healthy brain aging. The major foci of the Center are basic and applied research in Alzheimer's disease and related neurodegenerative disorders. Its objectives include expanding translational neuroscience research and providing educational opportunities to the general public, as well as healthcare students and professionals., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Sanders Brown Center on Aging (RRID:SCR_008765) Copy   

•   Source: SciCrunch Registry

http://crezoo.crt-dresden.de/crezoo/

Database of helpful set of CreERT2 driver lines expressing in various regions of the developing and adult zebrafish. The lines have been generated via the insertion of a mCherry-T2A-CreERT2 in a gene trap approach or by using promoter fragments driving CreERT2. You can search the list of all transgenic lines or single entries by insertions (gene) or expression patterns (anatomy/region). In most cases the CreERT2 expression profile using in situ hybridization at 24 hpf and 48 hpf is shown, but also additional information (e.g. mCherry or CreERT2 expression at adult stages, transactivation of a Cre-dependent reporter line) is displayed. Currently, not all insertions have been mapped to a genomic location but the database will be regularly updated adding newly generated insertions and mapping information. Your help in improving and broadening the database by giving your opinion or knowledge of expression patterns is highly appreciated.

Proper citation: CreZoo (RRID:SCR_008919) Copy   

•   Source: SciCrunch Registry

http://clipserve.clip.ubc.ca/topfind

An integrated knowledgebase focused on protein termini, their formation by proteases and functional implications. It contains information about the processing and the processing state of proteins and functional implications thereof derived from research literature, contributions by the scientific community and biological databases. It lists more than 120,000 N- and C-termini and almost 10,000 cleavages. TopFIND is a resource for comprehensive coverage of protein N- and C-termini discovered by all available in silico, in vitro as well as in vivo methodologies. It makes use of existing knowledge by seamless integration of data from UniProt and MEROPS and provides access to new data from community submission and manual literature curating. It renders modifications of protein termini, such as acetylation and citrulination, easily accessible and searchable and provides the means to identify and analyse extend and distribution of terminal modifications across a protein. The data is presented to the user with a strong emphasis on the relation to curated background information and underlying evidence that led to the observation of a terminus, its modification or proteolytic cleavage. In brief the protein information, its domain structure, protein termini, terminus modifications and proteolytic processing of and by other proteins is listed. All information is accompanied by metadata like its original source, method of identification, confidence measurement or related publication. A positional cross correlation evaluation matches termini and cleavage sites with protein features (such as amino acid variants) and domains to highlight potential effects and dependencies in a unique way. Also, a network view of all proteins showing their functional dependency as protease, substrate or protease inhibitor tied in with protein interactions is provided for the easy evaluation of network wide effects. A powerful yet user friendly filtering mechanism allows the presented data to be filtered based on parameters like methodology used, in vivo relevance, confidence or data source (e.g. limited to a single laboratory or publication). This provides means to assess physiological relevant data and to deduce functional information and hypotheses relevant to the bench scientist. TopFIND PROVIDES: * Integration of protein termini with proteolytic processing and protein features * Displays proteases and substrates within their protease web including detailed evidence information * Fully supports the Human Proteome Project through search by chromosome location CONTRIBUTE * Submit your N- or C-termini datasets * Contribute information on protein cleavages * Provide detailed experimental description, sample information and raw data

Proper citation: TopFIND (RRID:SCR_008918) Copy   

•   Source: SciCrunch Registry

http://www.ttuhsc.edu/centers/aging/giabrainbank.aspx

The Brain Bank was developed with two service-minded objectives: provide a free brain autopsy to confirm clinical diagnosis of dementia, and collect, bank and provide brain tissue to qualified scientific researchers studying diseases related to dementia. By working together, patients and researchers can help us understand the origins of neurodegenerative disease and eventually improve the treatment and care of dementia. The clinical diagnosis of Alzheimer's disease can only be confirmed by brain autopsy, or the examination of brain tissue after death. This examination will determine a patients's precise type of dementia. To confirm the diagnosis of Alzheimer's, for example, the brain tissue is examined for amyloid plaques and neurofibrillary tangles by a neuropathologist. The presence of these plaques and tangles will verify the clinical diagnosis of Alzheimer's disease. While it is important to us to enroll patients with dementia, it is equally important to enroll people with no dementia. These subjects are termed as controls and the brain tissue from controls will enable researchers to make comparisons to brain tissue from dementia patients. We are seeking donations from individuals who have had an age-related neurodegenerative disease like Alzheimer's, Parkinson's, Lewy Body or other related dementia.

Proper citation: GIA Brain Bank Program (RRID:SCR_008877) Copy   

•   Source: SciCrunch Registry