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https://bacpacresources.org

It is the distribution arm of their academic laboratory. They operate on a cost-recovery mechanism in order to make the resources generated in their laboratory available to the academic scientific community. While clones and screening services are widely available, library arrays are primarily available to researchers with a scientific need to analyze most clones in the library. This site contains information on currently available BAC and PAC genomic DNA libraries, BAC Clones, PAC Clones, Fosmid Clones, cDNA collections, high-density colony hybridization filters, and BAC and PAC cloning vectors. Protocols used in our laboratory for the hybridization-based screening of colony filters, purification of BAC and PAC DNA, and end-sequencing methodologies, are also provided. BPRC does not list clones, for two reasons: 1)most clones have not been characterized and lack specific data. 2)all clones are part of libraries and all clones from a particular library share common characteristics. Hence, to find out if BPRC has a particular clone, one needs either use Automatic Clone Validation or else find out if the clone is compatible with the range of clone names for a corresponding clone library. Typically (although not always), clone names are derived from the library name. BPRC uses the NCBI-recommended clone nomenclature & library nomenclature. Most arrayed libraries are available in frozen microtiter dish format to academic and non-academic users provided that there is a scientific need for complete-library access. (for instance to annotate, modify or analyze all BAC clones as part of a genome project).

Proper citation: BacPac Resources Center (RRID:SCR_001520) Copy   

•   Source: SciCrunch Registry
  

https://www.leica-microsystems.com/products/confocal-microscopes/p/stellaris-8/

STELLARIS 5 microscope has core system with integrated WLL, combined with proprietary Acousto-Optical Beam Splitter and Power HyD S detectors. Together with the TauSense technology, STELLARIS 5 sets a new standard for the quality of images and quantity of information generated. Imaging with user interface, ImageCompass.

Proper citation: Leica: STELLARIS 5 microscope (RRID:SCR_024663) Copy   

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https://www.leica-microsystems.com/products/confocal-microscopes/p/stellaris-8/

STELLARIS 8 microscope with core system addition of spectrum WLL and specialized detector options of Power HyD family to expand range of confocal applications. Can be combined with all Leica Microsystems modalities, including FAst Lifetime CONtrast (FALCON), Deep In Vivo Explorer (DIVE), STED, Digital Light Sheet (DLS) and CARS. STELLARIS 8 new features maximize the potential of these modalities.

Proper citation: Leica: STELLARIS 8 microscope (RRID:SCR_024664) Copy   

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https://www.noraxon.com/our-products/myomuscle/

Software tool for analyzing kinesiological data obtained from Noraxon Ultium EMG system, as well as older Noraxon legacy electromyography systems. Enables detailed insight for performance enhancement, injury prevention, and neuromuscular biofeedback.

Proper citation: Noraxon myoMuscle (RRID:SCR_024665) Copy   

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https://www.leica-microsystems.com/products/light-microscopes/p/leica-lmd7/

Laser Microdissection system enables users to isolate specific single cells or entire areas of tissue. Powered by unique laser design and dynamic software, Leica LMD systems allow users to easily isolate Regions of Interest from entire areas of tissue down to single cells or even subcellular structures such as chromosomes. LMD7 provides higher laser power. Suited to dissect any kind of tissue independent of its size or shape.

Proper citation: Leica: LMD7 Laser Microdissection microscope (RRID:SCR_024657) Copy   

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https://www.leica-microsystems.com/products/light-microscopes/p/leica-lmd7/

Laser Microdissection system enables users to isolate specific single cells or entire areas of tissue. Powered by unique laser design and dynamic software, Leica LMD systems allow users to easily isolate Regions of Interest from entire areas of tissue down to single cells or even subcellular structures such as chromosomes. Leica LMD6 is for standard tissue dissection. Used for standard applications dissecting soft tissues such as brain, liver, or kidney.

Proper citation: Leica: LMD6 Laser Microdissection microscope (RRID:SCR_024658) Copy   

•   Source: SciCrunch Registry
  

http://english.nhri.org.tw/

Nonprofit, government-funded research organization dedicated to the enhancement of medical research and the improvement of health care in Taiwan. Research interests include both aspects of basic biomedical sciences and specific diseases such as cancer, mental disorders and infectious diseases. The institute is meant to provide direction to national science and technology development in health and medical care, educate young scientists and physicians, establish an objective and fair system for research, and promoting domestic and international cooperation.

Proper citation: National Health Research Institutes; Taipei; Taiwan (RRID:SCR_000335) Copy   

•   Source: SciCrunch Registry
  

http://scienceonline2012.com/

ScienceOnline2012 is the sixth annual international meeting on science and the Web. The agenda includes more than 70 discussion sessions and workshops over three full days, and additional demonstrations, science lab tours, a museum reception & a dose of comedy. ScienceOnline2012 #scio12 across social media will take place January 19-21, 2012 on the campus of NC State University in the spacious McKimmon Center, with some 450 participants. Every January since 2007, the Research Triangle area of North Carolina has hosted scientists, students, educators, physicians, journalists, librarians, bloggers, programmers and others interested in the way the World Wide Web is changing the way science is communicated, taught and done. As in all the previous years, the meeting will be held in an ''unconference'' style the program is built beforehand with the help of participants on the planning wiki, and the sessions are designed to foster conversations and discussions among everyone in the room rather than a traditional one-before-many lecture approach. Help us continue the success of past conferences by familiarizing yourself with the plans for ScienceOnline2012, volunteering to help, offering your organization''s or company''s sponsorship or in-kind support, and, above all, engaging with the online science community before, during and after the conference.

Proper citation: ScienceOnline2012 (RRID:SCR_004932) Copy   

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http://www.objectivemeasures.org/

International Symposium on Objective Measures in Auditory Implants to explore what unique measures help us to achieve the best hearing outcome for each person who needs an auditory prosthesis.

Proper citation: International Symposium on Objective Measures in Auditory Implants (RRID:SCR_003160) Copy   

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http://www.nationalacademies.org/nrc/

Private, non-profit institution dedicated to utilizing knowledge in science, engineering, technology and health to improve government decision making and public policy as well as increase public education and understanding. The council collects, analyzes and shares information and knowledge through activities such as consensus studies, meetings and workshops, and program and research management.

Proper citation: National Research Council (RRID:SCR_000446) Copy   

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http://www.ncbi.nlm.nih.gov/gquery

Search engine for the National Library of Medicine and the National Institutes of Health. It contains databases such as PubMed, EST, and BioSystems.

Proper citation: GQuery (RRID:SCR_001455) Copy   

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http://www.cnbc.cmu.edu/

CNBC is joint venture of University of Pittsburgh and Carnegie Mellon University. Our center leverages the strengths of the University of Pittsburgh in basic and clinical neuroscience and those of Carnegie Mellon in cognitive and computational neuroscience to support a coordinated cross-university research and educational program of international stature. In addition to our Ph.D. program in Neural Computation, we sponsor a graduate certificate program in cooperation with a wide variety of affiliated Ph.D. programs.

Proper citation: Center for the Neural Basis of Cognition (RRID:SCR_002301) Copy   

•   Source: SciCrunch Registry
  

http://cancer.dartmouth.edu/res/geospatial.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. A resource to develop shared resources for the implementation of geospatial analysis for cancer research at Dartmouth. Their goal is to provide expert consultation and collaboration for research projects of NCCC members in behavior, epidemiology, and health services research. The GeoSpatial Resource also strives to educate members of the community in different aspects of geospatial analysis by providing courses through TDI and at Dartmouth College.

Proper citation: Dartmouth Geospatial Shared Resource (RRID:SCR_000874) Copy   

•   Source: SciCrunch Registry
  

http://www.radiology.ucsf.edu/cind

Biomedical technology research center that develops and validates new imaging methods for detecting brain abnormalities in neurodegenerative diseases, including Alzheimer's disease, vascular dementia, frontotemporal dementia, Parkinson's disease, as well as epilepsy, depression, and other conditions associated with nerve loss in the brain. As people around the globe live longer, the impact of neurodegenerative diseases is expected to increase further with dire social and economical consequences for societies if no effective treatments are developed soon. The development at CIND is aimed to improve magnetic resonance imaging (MRI). The ultimate goal of the scientific program is to identify imaging markers that improve accuracy in diagnosing neurodegenerative diseases at early stages, achieve more reliable prognoses of disease progression, and facilitate the discovery of effective treatment interventions. In addition to addressing the general needs for studying neurodegenerative diseases, another focus of CIND concerns brain diseases associated with military service and war combat, such as post traumatic stress disorder (PTSD), brain trauma, gulf war illness and the long-term effects of these conditions on the mental health of veterans. The symbiosis between CIND and the Veterans Administration Medical Center in San Francisco makes this program uniquely suited to serve military veterans.

Proper citation: Center for Imaging of Neurodegenerative Diseases (RRID:SCR_001968) Copy   

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http://www.ccmb.med.umich.edu/ccdu/SNPAAMapper

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2025. A downstream variant annotation program that can effectively classify variants by region (e.g. exon, intron, etc), predict amino acid change type (e.g. synonymous, non-synonymous mutation, etc), and prioritize mutation effects (e.g. CDS versus 5?UTR, etc). Major features: * The pipeline accepts the VCF (Variant Call Format) input file in tab-delimited format and processes the vcf input file containing all cases (G5, lowFreq, and novel) * The variant mapping step has the option of letting users select whether they want to report the bp distance between each identified intron variant and its nearby exon * The pipeline can deal with VCF files called by different SAMTools versions (0.1.18 and older ones) and also offers flexibility in dealing with vcf input files generated using SAMTools with two or three samples * The spreadsheet result file contains full protein sequences for both ref and alt alleles, which makes it easier for downstream protein structure/function analysis tools to take

Proper citation: SNPAAMapper (RRID:SCR_002012) Copy   

•   Source: SciCrunch Registry
  

http://rfmri.org/DPARSF

A MATLAB toolbox forpipeline data analysis of resting-state fMRI that is based on Statistical Parametric Mapping (SPM) and a plug-in software within DPABI. After the user arranges the Digital Imaging and Communications in Medicine (DICOM) files and click a few buttons to set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, smooth) data and results for functional connectivity, regional homogeneity, amplitude of low-frequency fluctuation (ALFF), fractional ALFF, degree centrality, voxel-mirrored homotopic connectivity (VMHC) results. DPARSF can also create a report for excluding subjects with excessive head motion and generate a set of pictures for easily checking the effect of normalization. In addition, users can also use DPARSF to extract time courses from regions of interest. DPARSF basic edition is very easy to use while DPARSF advanced edition (alias: DPARSFA) is much more flexible and powerful. DPARSFA can parallel the computation for each subject, and can be used to reorient images interactively or define regions of interest interactively. Users can skip or combine the processing steps in DPARSF advanced edition freely.

Proper citation: DPARSF (RRID:SCR_002372) Copy   

•   Source: SciCrunch Registry
  

http://mutdb.org/mutpredsplice/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 6,2023. Tool for identifying coding region variants which disrupt pre-mRNA splicing and the underlying mechanism.

Proper citation: MutPred Splice (RRID:SCR_000594) Copy   

•   Source: SciCrunch Registry
  

http://sourceforge.net/apps/mediawiki/mummergpu/index.php?title=MUMmerGPU

Software tool as high throughput DNA sequence alignment program that runs on nVidia G80-class GPUs. Aligns sequences in parallel on video card to accelerate widely used serial CPU program MUMmer.

Proper citation: MUMmerGPU (RRID:SCR_001200) Copy   

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http://www.warwick.ac.uk/snpm

A toolbox for Statistical Parametric Mapping (SPM) that provides an extensible framework for voxel level non-parametric permutation/randomization tests of functional Neuroimaging experiments with independent observations. SnPM uses the General Linear Model to construct pseudo t-statistic images, which are then assessed for significance using a standard non-parametric multiple comparisons procedure based on randomization/permutation testing. It is most suitable for single subject PET/SPECT analyses, or designs with low degrees of freedom available for variance estimation. In these situations the freedom to use weighted locally pooled variance estimates, or variance smoothing, makes the non-parametric approach considerably more powerful than conventional parametric approaches, as are implemented in SPM. Further, the non-parametric approach is always valid, given only minimal assumptions. The SnPM toolbox provides an alternative to the Statistics section of SPM.

Proper citation: Statistical non-Parametric Mapping (RRID:SCR_002092) Copy   

•   Source: SciCrunch Registry
  

http://www.karmanos.org/

Center for patient care, education and research on cancer. The institute focuses its research on prevention methods, early detection, treatment and finding cures.

Proper citation: Karmanos Cancer Institute (RRID:SCR_000508) Copy   

•   Source: SciCrunch Registry