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https://pharmacycorefacilities.usc.edu/translational-lab/

Core is equipped with a wide variety of technologically advanced instruments essential for cutting edge biomedical discovery and therapeutic development research. TRLab is composed of two major units. The Computational Bioinformatics Unit houses graphic workstations and modeling programs that enable in silico virtual screening and rational drug design applications. The Therapeutic Screening Unit houses a number of specialized instruments that enable a broad range of automated and multiplexed biological analyses in a throughput manner. The core mission of the TRLab has been to provide investigators with a state-of-the-art technological platform and technical expertise to advance translational research endeavors in the School of Pharmacy and at USC.

Proper citation: University of Southern California School of Pharmacy Translational Research Laboratory (RRID:SCR_012253) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/proteomics-and-metabolomics-facility-welcome

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 25,2024. The mission of the Proteomics and Metabolomics Facility is to serve as an enabling resource for research and development programs at Colorado State University. We strive to build instrumental capabilities that exceed the normal resources of individual research programs, and make those technologies available as a shared resource. We also aim to provide an environment rich in expertise and educational resources, and to foster collaboration across the CSU community and beyond.

Proper citation: CSU Proteomics and Metabolomics Facility (RRID:SCR_012255) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/vib-compound-screening-facility

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Compound screening facility that has several drug-like compound collections available that amount to a total of about 74,000 compounds and a human siRNA library that targets almost 8,000 genes. State-of-the-art liquid handling systems and detection technologies are available for screening in-house or custom collections in 96- or 384-well plate format. The platform is compatible with biochemical assays, cell-based assays in a broad range of cellular systems and assays in the model plant Arabidopsis thaliana. Its core activities consist of managing the VIB screening collections, assisting researchers in assay development / automation and performing high-throughput screenings. After hit clustering and selection, the VIB-CSF team can contribute in structure-activity analysis, IC50 measurements, cytotoxicity analysis, secondary screening for hit validation and counter screening for specificity analysis.

Proper citation: VIB Compound Screening Facility (RRID:SCR_012256) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/the-laboratory-for-developmental-biology

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 22, 2024. Laboratory for Developmental Biology was established to help scientists at the Institute of Molecular Medicine and the University of Texas conduct research that requires the production of transgenic and knock-out animal models of human diseases.

Proper citation: UTHealth Laboratory for Developmental Biology (RRID:SCR_012259) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/chemodiversity-laboratory-cddi

The chemodiversity core facility offers a library of natural product-derived crude extracts, fractions and pure compounds for screening. Gas chromatography high-resolution mass spectrometry (MS) analysis, liquid chromatography MS targeted separation and high throughput screening (targeting solid tumor cell lines, anti-microbial activity, permeability and drug solubility determination) are provided. The services also include general chromatography (MPLC, HPLC) and spectrometric characterization (UV, IR) as well as microbiology workspace (biosafety cabinets), synthesis activities and training. Our facility offers advanced instrumentation (GC/MS Q-TOF, IR, UV, MPLCs, HPLCs, liquid handling robots, biosafety cabinets, and other essential lab equipment), consultation and services for sample isolation and analysis, derivatization and scale-up. Sample preparation and safety training are also available for commercial and USF clients using our chromatographic and analytical instrumentation.

Proper citation: USF Chemodiversity Laboratory (RRID:SCR_012262) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/mass-spectrometry-biological-applications-and-high-throughput-proteomics-facility-cddi

The Mass Spectrometry, Biological Applications and High-Throughput Proteomics Facility is dedicated to the identification and quantification of components associated with complex biological matrices. The main goal of our lab is to produce high quality data related to any biological or environmental sample, i.e. cancer, Alzheimer_������_s, diabetes, cardiovascular disease, and parasitology, to name a few. To see a full list of facility activity, please visit our listed website.

Proper citation: USF Mass Spectrometry Biological Applications and High-Throughput Proteomics Facility (RRID:SCR_012261) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/mcgill-spr-facility

For applications including proteomics, drug discovery, immunogenicity, and food analysis, state-of-the-art Surface Plasmon Resonance (SPR) technology allows for label-free, real-time biomolecular interaction analysis. Using purified preparations or complex mixtures, binding interactions between proteins, lipids, carbohydrates, nucleic acids, small molecules, and cells/viruses can be examined quantitatively in their native state with low sample consumption. In a typical experiment, the ligand (_������������bait_������_) is immobilized to a gold-plated sensor chip and repeated injections of analyte (binding partner _������������target_������_) are then flowed overtop.

Proper citation: McGill SPR Facility (RRID:SCR_012265) Copy   

•   Source: SciCrunch Registry

https://www.usf.edu/arts-sciences/departments/chemistry/research/core-facilities/nmr.aspx

NMR facility provides state-of-the-art ultra-high field (14 and 18 Tesla) instruments that enable researchers to characterize protein structure at atomic resolution (along with the characterization of small molecules). Technical support and training are available for all aspects of project development. Experiments include structure elucidation of small molecules (e.g. synthetic molecules, natural products, and small peptides etc.) to studying advanced protein-ligand interactions.

Proper citation: USF NMR Laboratory (RRID:SCR_012260) Copy   

•   Source: SciCrunch Registry

http://www.tue.nl/en/

Proper citation: Eindhoven University of Technology; North Brabant; Netherlands (RRID:SCR_003354) Copy   

•   Source: SciCrunch Registry

http://rsync.samba.org/

Software that provides rapid incremental file transfer.

Proper citation: rsync (RRID:SCR_003113) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012e-3517-ac53-550e-f59280000000

Core facility that provides metals analytical capabilities to biomedical and non-biomedical researchers and serves as a source for study design consultation and sample QA/QC requirements. The transport, fate, exposure, and toxic effects of heavy metals is a primary focus of research at the Center. It operates as a modified fee-for-service laboratory. Researchers have the option of having the samples run by the Service staff, or of receiving instruction (for themselves or a doctoral or post doctoral trainee) on how to operate the analytical equipment and analyze their own samples. Both options have associated fees and, as with other services, facility access funds can be requested internal or external services when individual grant support is not yet available.

Proper citation: HSPH Trace Metals Laboratory (RRID:SCR_002819) Copy   

•   Source: SciCrunch Registry

http://www.sci.unisannio.it/docenti/rampone/

Data set of Homo Sapiens Exons, Introns and Splice regions extracted from GenBank Rel.123 with an aim of giving standardized material to train and to assess the prediction accuracy of computational approaches for gene identification and characterization. From the complete GenBank (Primate Sequences Division) Rel.123 (162,557 entries), entries of Human Nuclear DNA including Complete CDS and more than one Exon have been selected, and 4523 exons and 3802 introns have been extracted from these entries. Details about extracted exons and introns are reported (Locus, number, Start and End position in the entry, sequence, length, G+C content, presence of not AGCT data (nucleotide scan check)). Statistics are also reported (overall nucleotides, average G+C content, nucleotide scan check results, number of not GT starting / AG ending introns, minimum / maximum / average length, length standard deviation). 3799+3799 donor and acceptor sites, as windows of 140 nucleotides around each splice site have been extracted. After discarding sequences not including canonical GTAG junctions (65+74), including insufficient data (not enough material for a 140 nucleotide window) (686+589), including not AGCT bases (29+30), and redundant (218+226) there are 2796+ 2880 windows. Finally, there are 271,937 + 332,296 windows of false splice sites, selected by searching canonical GTAG pairs in not splicing positions. The false sites in a range of +/- 60 from a true splice site are marked as proximal.

Proper citation: HS3D - Homo Sapiens Splice Sites Dataset (RRID:SCR_002939) Copy   

•   Source: SciCrunch Registry

http://www.fmri.org

THIS RESOURCE IS NO LONGER IN SERVICE, documented on 7/28/13. Core facility of Columbia Neuroscience with the goal of establishing a collaborative and multi-investigator neuroimaging environment that is focused on the investigation of the neurocircuitry of the brain that underlies cognition, perception and action, and also the development of clinical applications that enhance the goals of personalized medicine. Within this environment the specific current research interests of the Hirsch group include several related directions of investigation. The first is conscious and subconscious neural processes that mediate emotion and cognition in healthy individuals and in patients with psychiatric disorders. This direction also includes neurocircuitry that is characteristic of disorders of consciousness such as minimally conscious or vegetative states, self and visual awareness, and attention. Neurocircuitry of other complex cognitive processes such as decisions, inductive and deductive reasoning, language, truthfulness and top-down influences of expectation, reward, and regulation on early visual and mid-level perceptual and emotional systems. On-going projects targeted for clinical applications include benefits for neurosurgery such as the development of task batteries to map the cortical locations of essential functions such as language, motor, sensation, memory, emotion and sensory functions including visions, audition and the chemical senses. Computational innovations for labeling correspondence between brain structure and specific functional regions are under development to achieve the highest interpretive precision. Current projects include integration of EEG and fMRI techniques to localize seizuregenic cortex in relation to eloquent and functioning cortex for neurosurgical planning; integration of TMS and fMRI to discriminate essential and associative language-sensitive cortical areas; and integration of VEP, EEG and fMRI to inform assessments of visual disease secondary to stroke or neural degeneration. Projects intended to refine and enhance diagnosis of psychiatric disorders such as anxiety, depression, and eating disorders include development of specialized paradigms to target dysfunctional neurocircuitry such as emotional systems (amygdala and basal ganglia) and control and regulatory systems (cingulate and pre-frontal cortex). Comparison of before-treatment images with after-treatment images to inform models of both treatment and disease and investigation of the hypothesis that individual genetic and functional differences have predictive value for treatment options and outcome are currently underway. The lab has pioneered techniques for functional mapping of single patients, and operates an active clinical service for mapping individuals for neurosurgical planning, assessments of the neurocircuitry that underlie acquired or inherited disabilities and the mechanisms of neuroplasticity that restore lost functions are actively investigated using both groups and single subject studies. :

Proper citation: fMRI Research Center at Columbia (RRID:SCR_002658) Copy   

•   Source: SciCrunch Registry

http://www.umanitoba.ca/

Proper citation: University of Manitoba; Manitoba; Canada (RRID:SCR_003867) Copy   

•   Source: SciCrunch Registry

http://fcon_1000.projects.nitrc.org/indi/pro/BeijingShortTR.html

Dataset of resting state fMRI scans obtained using two different TR's in healthy college-aged volunteers. Specifically, for each participant, data is being obtained with a short TR (0.4 seconds) and a long TR (2.0 seconds). In addition this dataset contains a 64-direction DTI scan for every participant. The following data are released for every participant: * 8-minute resting-state fMRI scan (TR = 2 seconds, # repetitions = 240) * 8-minute resting-state fMRI scans (TR = 0.4 seconds, # repetitions = 1200) * MPRAGE anatomical scan, defaced to protect patient confidentiality * 64-direction diffusion tensor imaging scan (2mm isotropic) * Demographic information

Proper citation: Beijing: Short TR Study (RRID:SCR_003502) Copy   

•   Source: SciCrunch Registry

http://www.temporal-lobe.com/

Interactive diagram containing existing knowledge of hippocampal-parahippocampal connections in which any connection can be turned on or off at the level of cortical layers. It includes references for each connection.

Proper citation: Temporal-Lobe: Hippocampal - Parahippocampal Neuroanatomy of the Rat (RRID:SCR_002816) Copy   

•   Source: SciCrunch Registry

http://rp-www.cs.usyd.edu.au/~yangpy/software/MFGE.html

A hybrid software system for feature selection and sample classification of high-dimensional datasets. It is designed for microarray but can be applied to any other high-dimensional datasets. It uses multiple filters to produce a normalized score for each feature. The score is an indication of the usefulness of each feature. It is then translated into a frequency map with more useful features receive a higher frequency in the map.

Proper citation: MF-GE (RRID:SCR_003509) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/charge/

Charge Czar is a software tool that uses a support vector machine to discriminate between +2- and +3-charged tandem mass spectra, with the goal of reducing database search time by eliminating the need to search twice with each spectrum. Charge Czar is written in Python and ANSI C. Source code for the latest version, as well as some pre-compiled versions for popular platforms (Linux, Cygwin) can be downloaded after you have agreed to the license agreement. Mass spectrometry is a particularly useful technology for the rapid and robust identification of peptides and proteins in complex mixtures. Peptide sequences can be identified by correlating their observed tandem mass spectra (MS/MS) with theoretical spectra of peptides from a sequence database. Unfortunately, to perform this search the charge of the peptide must be known, and current charge-state-determination algorithms only discriminate singly- from multiply-charged spectra: distinguishing +2 from +3, for example, is unreliable. Thus, search software is forced to search multiply-charged spectra multiple times. To minimize this inefficiency, we present a support vector machine (SVM) that quickly and reliably classifies multiply-charged spectra as having either a +2 or +3 precursor peptide ion. By classifying multiply-charged spectra, we obtain a 40% reduction in search time while maintaining an average of 99% of peptide and 99% of protein identifications originally obtained from these spectra.

Proper citation: Charge Czar: Peptide charge state determination for low-resolution tandem mass spectra (RRID:SCR_004315) Copy   

•   Source: SciCrunch Registry

http://ftp://ftp.informatics.jax.org/pub/reports/MGI_PhenotypicAllele.rpt

Data set of collected and annotated expression and activity data for recombinase-containing transgenes and knock-in alleles. As the authoritative source of official names for mouse genes, alleles, and strains, MGI makes this list of transgenes available as a service and includes all known transgenes and synonyms. NIF provides a database interface so that researchers may have a better idea whether the trangene or transgenic animal that they are searching for is available.
Nomenclature follows the rules and guidelines established by the International Committee on Standardized Genetic Nomenclature for Mice.

Proper citation: Mouse Genome Informatics Transgenes (RRID:SCR_003468) Copy   

•   Source: SciCrunch Registry

http://www.gesis.org/allbus/

Data set of up-to-date data on attitudes, behavior, and social structure in Germany. Every two years since 1980 a representative cross section of the population is surveyed using both constant and variable questions. The ALLBUS data become available to interested parties for research and teaching as soon as they are processed and documented.

Proper citation: ALLBUS - German General Social Survey (RRID:SCR_003588) Copy   

•   Source: SciCrunch Registry