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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Salk Institute for Biological Studies - Slesinger Lab Resource Report Resource Website |
Salk Institute for Biological Studies - Slesinger Lab (RRID:SCR_001850) | data or information resource, portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This lab is investigating the molecular details of how potassium ion channels open and close (i.e. gating), the cellular regulation of potassium channels in nerve cells, and more recently, their role in drug addiction and mental disorders. There are currently two related areas of focus in the lab. One main area of research is investigating the G protein regulation of GIRK channels, utilizing structural, biochemical and electrophysiological strategies. The other area extends from the G protein regulation experiments to studies that examine the role of GIRK channels in the neural response to drugs of abuse, utilizing biochemical, electrophysiological and behavioral strategies. | drug, electrophysiological, gating, abuse, addiction, behavioral, biochemical, cell, cellular, channel, disorder, girk channel, g protein, ion, mental, molecular, nerve, neural, potassium, regulation, structural | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10413 | SCR_001850 | Salk Institute (Slesinger) | 2026-09-03 04:45:00 | 0 | |||||||||
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CCAT Resource Report Resource Website 50+ mentions |
CCAT (RRID:SCR_001843) | CCAT | software resource | THIS RESOURCE IS OUT OF SERVICE, documented on April 5, 2017, A software package for the analysis of ChIP-seq data with negative control., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Genome Institute of Singapore; Singapore; Singapore |
PMID:20371496 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00428, biotools:ccat | https://bio.tools/ccat | SCR_001843 | Control based ChIP-Seq Analysis Tools | 2026-09-03 04:44:59 | 76 | |||||
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GenABEL Resource Report Resource Website 500+ mentions |
GenABEL (RRID:SCR_001842) | software library, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. R software library for genome-wide association analysis for quantitative, binary and time-till-event traits. | r, genome-wide association, single nucleotide polymorphism |
is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: Debian is listed by: SoftCite |
Centre for Medical Systems Biology; Netherlands ; Netherlands Genomics Initiative ; Netherlands Organisation for Scientific Research ; Russian Foundation for Basic Research |
PMID:17384015 DOI:10.1186/1471-2105-11-134 DOI:10.1093/bioinformatics/btm108 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154328, OMICS_00234 | http://mga.bionet.nsc.ru/~yurii/ABEL/GenABEL/, https://cran.r-project.org/web/packages/GenABEL/index.html, https://sources.debian.org/src/probabel/ | SCR_001842 | GenABEL package, R/GENABEL | 2026-09-03 04:45:04 | 506 | |||||
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FreeSurfer Resource Report Resource Website 10000+ mentions |
FreeSurfer (RRID:SCR_001847) | FreeSurfer | data processing software, data visualization software, image analysis software, software application, software resource | Open source software suite for processing and analyzing human brain MRI images. Used for reconstruction of brain cortical surface from structural MRI data, and overlay of functional MRI data onto reconstructed surface. Contains automatic structural imaging stream for processing cross sectional and longitudinal data. Provides anatomical analysis tools, including: representation of cortical surface between white and gray matter, representation of the pial surface, segmentation of white matter from rest of brain, skull stripping, B1 bias field correction, nonlinear registration of cortical surface of individual with stereotaxic atlas, labeling of regions of cortical surface, statistical analysis of group morphometry differences, and labeling of subcortical brain structures.Operating System: Linux, macOS. | processing, analysis, human, brain, MRI, image, reconstruction, cortical, surface, fMRI, data |
is used by: Wisconsin Cortical Thickness Analysis (CTA) Toolbox is used by: freesurfR is used by: Automatic Analysis is used by: NHP Freesurfer is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian is listed by: SoftCite is related to: PySurfer is related to: RFT FDR is related to: FMRLAB is related to: TRACULA is related to: BASH4RfMRI has parent organization: Harvard University; Cambridge; United States has plug in: JOSA works with: NIAG Addiction Data |
NCRR RR014075; NCRR U24 RR021382; NINDS R01 NS052585 |
PMID:22248573 | Free, Available for download, Freely available | nif-0000-00304 | https://sources.debian.org/src/freesurfer/, http://www.nitrc.org/projects/freesurfer, http://surfer.nmr.mgh.harvard.edu/fswiki/DownloadAndInstall | SCR_001847 | 2026-09-03 04:44:58 | 12664 | |||||
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Alt Event Finder Resource Report Resource Website |
Alt Event Finder (RRID:SCR_001846) | Alt Event Finder | software resource | Software tool for deriving data-driven alternative splicing (AS) events from RNA-seq data. It analyses the transcripts built by Cufflinks or Scripture and outputs AS event annotations which is compatible with MISO. It can be used for annotating novel AS events from a well-annotated species such as human. It can also be used for species of which known AS event annotation is not available. The current release (v0.1) supports skipped exon events only. | alternative splicing, rna-seq, alternative splicing event, transcript, annotation, splicing regulation |
is listed by: OMICtools is related to: Cufflinks is related to: Scripture has parent organization: Indiana University; Indiana; USA |
PMID:23281921 | Free, Freely available | OMICS_01941 | SCR_001846 | Alt Event Finder: A tool for extracting alternative splicing events from RNA-seq data | 2026-09-03 04:45:04 | 0 | ||||||
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Stable Isotope Labeling with Amino Acids in Cell Culture Resource Report Resource Website 500+ mentions |
Stable Isotope Labeling with Amino Acids in Cell Culture (RRID:SCR_001873) | data or information resource, portal, topical portal | Stable isotope labeling with amino acids in cell culture (SILAC) is a simple and straightforward approach for in vivo incorporation of a label into proteins for mass spectrometry (MS)-based quantitative proteomics. SILAC relies on metabolic incorporation of a given "light" or "heavy" form of the amino acid into the proteins. The method relies on the incorporation of amino acids with substituted stable isotopic nuclei (e.g. deuterium, 13C, 15N). In an experiment, two cell populations are grown in culture media that are identical except that one of them contains a "light" and the other a "heavy" form of a particular amino acid (e.g. 12C and 13C labeled L-lysine, respectively). When the labeled analog of an amino acid is supplied to cells in culture instead of the natural amino acid, it is incorporated into all newly synthesized proteins. After a number of cell divisions, each instance of this particular amino acid will be replaced by its isotope labeled analog. Since there is hardly any chemical difference between the labeled amino acid and the natural amino acid isotopes, the cells behave exactly like the control cell population grown in the presence of normal amino acid. It is efficient and reproducible as the incorporation of the isotope label is 100%. SILAC Applications: - Differential expression of proteins and identification of disease biomarkers - Cell signaling dynamics - Analysis of yeast pheromone signaling pathway - Identification of methylation sites - Identification of protease substrates - Study of protein complexes/protein interactions - Analysis of signaling pathways and effect of pharmacological inhibitors - Subcellular proteomics Sponsors: Supported in part by an NIH Roadmap grant Technology Center for Networks & Pathways of Lysine Modification. | amino acid, analog, biomarker, cell culture, cell division, cell signal, chemical, deuterium, disease, inhibitor, in vivo, isotope, labeling, lysine, mass spectrometry, media, metabolic, methylation site, nucleus, pharmacological, protease, protein, protein complex, protein interaction, proteomics, signaling pathway, subcellular, substrate, yeast pheromone | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10435 | SCR_001873 | SILAC | 2026-09-03 04:45:11 | 673 | |||||||||
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ExpressionPlot Resource Report Resource Website 1+ mentions |
ExpressionPlot (RRID:SCR_001904) | expressionplot | software resource | Software package consisting of a default back end, which prepares raw sequencing or Affymetrix microarray data, and a web-based front end, which offers a biologically centered interface to browse, visualize, and compare different data sets. | analysis, rna-seq, microarray, gene expression, affymetrix, prototype | is listed by: OMICtools | PMID:21797991 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_01939 | SCR_001904 | 2026-09-03 04:45:13 | 9 | |||||||
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S-MART Resource Report Resource Website 10+ mentions |
S-MART (RRID:SCR_001908) | S-MART | software resource | Software toolbox that manages your RNA-Seq and ChIP-Seq data and also produces many different plots to visualize your data. It performs several tasks that are usually required during the analysis of mapped RNA-Seq and ChIP-Seq reads, including data selection and data visualization. It includes the selection (or the exclusion) of the data that overlaps with a reference set, clustering and comparative analysis. It also provides many ways to visualize data: size of the reads, density on the genome, distance with respect to a reference set, and the correlation of two data sets (with cloud plots). A computer science background is not required to run it through a graphical interface and it can be run on any personal computer, yielding results within an hour for most queries. | high throughput sequencing, rna-seq, chip-seq, python, linux, ms windows, mac, short-read, selection, visualization, bio.tools, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:21998740 | Free, Available for download, Freely available | OMICS_01937, biotools:mapperanalyzer, biotools:s-mart | https://bio.tools/s-mart, https://bio.tools/mapperanalyzer | SCR_001908 | 2026-09-03 04:45:04 | 24 | ||||||
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Dendritica: Software Tools for Studying Dendritic Signaling Resource Report Resource Website 1+ mentions |
Dendritica: Software Tools for Studying Dendritic Signaling (RRID:SCR_001865) | simulation software, software application, software resource | Dendritica is a program package for relating dendritic geometry and signal propagation. The programs are based on those used for the simulations described in the following paper: Vetter, P., Roth, A. & Husser, M. (2001). Action potential propagation in dendrites depends on dendritic morphology. Journal of Neurophysiology, 85: 926-937. Dendritica can functionally be divided into three main parts: - Interactive morphological analysis and electrophysiological simulation of single cells - Automated batch simulations across a set of morphologies using the same simulation parameters - Automated analysis of batch simulation runs Dendritica requires NEURON 4.1.1 with some modifications described in Appendix 1. It was tested for NEURON 4.1.1 on Linux and SGI IRIX. Some modifications to the Dendritica code may be necessary in order to run it on older or newer versions of NEURON. Sponsors: This work was supported by the Wellcome Trust, the European Community, the Max-Planck-Gesellschaft, the Wellcome Trust 4-year PhD Programme in Neuroscience. | electrophysiological simulation, dendritic geometry, interactive, morphological, morphology, neuron, sigle cell, signal propagation | Free | http://www.dendrite.org/software.html | SCR_001865 | Dendritica | 2026-09-03 04:45:05 | 1 | |||||||||
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Stony Brook University Medical Center: Neuropathology Primer Resource Report Resource Website |
Stony Brook University Medical Center: Neuropathology Primer (RRID:SCR_001866) | book, data or information resource, narrative resource | This is a primer of basic neuropathology- The Central Nervous System and Skeletal Muscle. It is organized in chapters by category of disease with a separate chapter for skeletal muscle. Many of the diseases could be included in more than one chapter because of overlapping pathophysiology; in each case the disorder is included in a single section in the interest of convenience. In order to recognize pathology one must have a basic foundation in normal structure, so the first chapter is an overview of basic regional central nervous system structure and anatomy. It includes an introduction to neurohistology. Other chapters address the pathophysiology of different categories of disease and provide examples of gross and microscopic pathology when they are available. | anatomy, central nervous system, disease, gross pathology, microscopic pathology, neurohistology, neuropathology, pathology, pathophysioogy, skeletal muscle, structure | Free, Freely available | nif-0000-10438 | http://www.stonybrookmedicalcenter.org/body.cfm?id=1176 | SCR_001866 | Neuropathology Primer | 2026-09-03 04:45:01 | 0 | ||||||||
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SPRUSTON / KATH LAB: Neuraling Modeling Database NEURAL MODELING DATABASE Resource Report Resource Website 1+ mentions |
SPRUSTON / KATH LAB: Neuraling Modeling Database NEURAL MODELING DATABASE (RRID:SCR_001869) | data or information resource, database, simulation software, software application, software resource | This database contains morphologies of hippocampal pyramidal cells and interneurons (in Neurolucida, NEURON, and pdf formats) as well as data recorded from those cells. Sponsors:This work was supported by grants from the NIH (T32-GM-08061 to T.J.M., F32-NS-10532 to N.L.G., and R01-NS35180 and R01-NS 46064 to N.S. and W.L.K.) and NSF (IGERT fellowship to Y.K.). NS46064 is part of the NSF/NIH Collaborative Research in Computational Neuroscience Program | cell, hippocampal, interneuron, morphology, neurolucida, neuron, pyramidal cell | Free, Freely available | nif-0000-10434 | http://www.northwestern.edu/neurobiology/faculty/spruston/sk_models/ | SCR_001869 | SPRUSTON / KATH LAB | 2026-09-03 04:44:59 | 5 | ||||||||
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Korea Advanced Institute of Science and Technology; Daejeon; South Korea Resource Report Resource Website 1+ mentions |
Korea Advanced Institute of Science and Technology; Daejeon; South Korea (RRID:SCR_001902) | KAIST | institution | Institute dedicated to research in science and technology in South Korea modeled after a research university. | south korea, research, science, technology |
is parent organization of: NIRS-SPM is parent organization of: FiGS |
Available to the research community | grid.37172.30, ISNI: 0000 0001 2292 0500, Crossref funder ID: 501100007107, Wikidata: Q39949, nlx_155859 | https://ror.org/05apxxy63 | http://www.kaist.edu/english/ | SCR_001902 | Korea Advanced Institute of Science and Technology | 2026-09-03 04:45:07 | 2 | |||||
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South African National Bioinformatics Institute: Resources Resource Report Resource Website |
South African National Bioinformatics Institute: Resources (RRID:SCR_001867) | data analysis software, data or information resource, data processing software, database, organization portal, portal, software application, software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. The South African National Bioinformatics Institute delivers biomedical discovery appropriate to both international and African context. Researchers at SANBI perform the highest level of research and provide excellence in education. Research at SANBI has set well recognized milestones in the field of computational biology. The tools and techniques used have not only been developed but also implemented across heterogeneous domains of advanced research. Local and international efforts have driven our discoveries. Until recently, the core of SANBIs research has focused upon gene expression biology. Methods developed and applied at SANBI revolve around a greater understanding of the underlying causes of diseases. SANBI approaches the problem by comparison of genes, genomes and transcriptomes. It uses computational gene expression biology to create novel biological insights and to provide biomarkers for experimental validation. It also performs analysis of human genome variation, transcriptional diversity on both the expression and splicing level and the unravelling of transcriptional regulatory networks. Resources - Hinv, STACKdb, Malaria resources and Trypanosome databases are available for on-line seaching. - SANBI offers WCD, STACKdb, stackPACK and eVOC and the eVOKE viewer as tools that can be downloaded. Sponsors: SANBI receives funding and support from a range of organisations in South Africa and Internationally. Organisations currently supporting SANBI include: South Africa * South African Medical Research Council * South African AIDS Vaccine Initiative * National Bioinformatics Network * National Research Foundation * Claude Leon Foundation * International Business Machines Inc. Europe * European Unions 6th Framework Programme * World Health Organization USA * US National Institutes of Health * Fogarty International Centre * Ludwig Institute for Cancer Research | expression, gene, gene expression, bioinformatics, biological, biology, biomaker, biomedical, computational biology, disease, genome, heterogeneous domain, human, splicing, transcriptional diversity, transcriptional regulatory network, transcriptome, variation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10432 | SCR_001867 | SANBI | 2026-09-03 04:45:10 | 0 | |||||||||
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Spike Train Analysis Software by Attila Szucs: Orbital Spike 4 Resource Report Resource Website 1+ mentions |
Spike Train Analysis Software by Attila Szucs: Orbital Spike 4 (RRID:SCR_001868) | data analysis software, data processing software, software application, software resource | Orbital Spike is a tool for time series analysis. It contains a wide range of methods to analyze data from point processes such as spike arrival times, heart beats or other behavioral episodes. It is optimized this program for spike trains but it works with other types of data, too. The program can analyze up to 8 channels recorded simultaneously each containing a maximum of 132,000 events (spikes). Assuming an average firing rate of 10 Hz for a neuron, you can then analyze a time series of approximately 3 and half hours long. There are up to 8 panels shown in the Orbital Spike desktop. The panels will contain the kind of data of interest. The graphs are associated with a bunch of parameters like window width, bin size, resolution, delay etc. All these parameters are listed in the parameter box, which appears on the right side of the desktop. It is pretty easy to change the parameters and what is nice, the corresponding graph(s) will be recalculated immediately. You can also use a dialog box to change parameters. There are a lot of functions, statistics, graphs and diagrams available. A few of them are: * Interspike interval sequences * ISI Poincar * maps or return maps Instantaneous firing rate * ISI histograms and probability densities * Joint ISI and MSI probability densitograms * Autocorrelation, crosscorrelation * Spike density functions using kernel estimators * Fourier-amplitude spectrum and spectogram * Symbolic maps, recurrence plots * Phase plots of spike density functions Sponsors: Support for this work came from the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Engineering and Geosciences, under Grants DE-FG03-90ER14138 and DE-FG03-96ER14592; from the Office of Naval Research under Grant N00014-00-1-0181; from the National Science Foundation under Grant PHY0097134; from the National Institutes of Health under Grants R01 NS-40110-01A2 and 1RO1 NS-40110; and from the Army Research Office under Contract DAAD19-01-1-0026. R. D. Pinto was supported by the State of Sao Paulo Research Foundation (FAPESP). | firing rate, fourier-amplitude spectrum, analyze, behavioral episode, density, interspike interval sequence, neuron, spectogram, spike | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10433 | SCR_001868 | Orbital Spike 4 | 2026-09-03 04:45:06 | 1 | |||||||||
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THetA Resource Report Resource Website 100+ mentions |
THetA (RRID:SCR_001860) | software resource | An algorithm that estimates the tumor purity and clonal / subclonal copy number aberrations directly from high-throughput DNA sequencing data. | standalone software |
is listed by: OMICtools has parent organization: Brown University; Rhode Island; USA |
PMID:23895164 | Free, Available for download, Freely available | OMICS_03562 | http://compbio.cs.brown.edu/projects/theta/ | SCR_001860 | THetA: Tumor Heterogeneity Analysis, Tumor Heterogeneity Analysis, Tumor Heterogeneity Analysis (THetA) | 2026-09-03 04:44:59 | 206 | ||||||
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San Diego County Medical Society Resource Report Resource Website |
San Diego County Medical Society (RRID:SCR_001854) | SDCMS | data or information resource, portal, topical portal | The San Diego County Medical Society (SDCMS) is a non-profit organization designed to address San Diego healthcare needs for all patients and physicians through innovation, education and service. The SDCMS Foundation is advancing several innovative programs and initiatives: - The Emergency Department Medical Home (EDMH) Project matches uninsured patients in the emergency department with public and private medical coverage and establishes a medical home for them at local community health centers. - Project Access San Diego (PASD) is a program that connects eligible, low-income, uninsured patients with physicians who provide deeply discounted or pro bono care. - The SDCMS Foundation has also established five medical student scholarships at the UCSD School of Medicine. | education, healthcare, innovation, medical, patient, physician, service | Free, Freely available | nif-0000-10416 | SCR_001854 | SDCMS | 2026-09-03 04:45:01 | 0 | ||||||||
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University of Alberta; Alberta; Canada Resource Report Resource Website 1+ mentions |
University of Alberta; Alberta; Canada (RRID:SCR_001853) | university | Public research university in Edmonton, Alberta, Canada that offers degree programs in a variety of fields including business, arts, education, engineering, nursing, and medicine. | public, research, university, alberta, canada |
is related to: Alberta Diabetes Institute IsletCore database is parent organization of: T3DB is parent organization of: DrugBank is parent organization of: Arthur Prochazka Laboratory, University of Alberta is parent organization of: Proteome Analyst Specialized Subcellular Localization Server is parent organization of: Canadian Biosample Repository is parent organization of: Blood Borne Pathogens Laboratory is parent organization of: Small Molecule Pathway Database is parent organization of: NGS-SNP is parent organization of: PHAge Search Tool is parent organization of: PolySearch is parent organization of: YMDB - Yeast Metabolome Database is parent organization of: BacMap: Bacterial Genome Atlas is parent organization of: HMDB is parent organization of: Proteome Analyst is parent organization of: Proteome Analyst PA-GOSUB is parent organization of: CGView is parent organization of: UAlberta Cell Imaging Centre is parent organization of: UAlberta Institute for Biomolecular Design is parent organization of: UAlberta Mass Spectrometry Facility - Department of Chemistry is parent organization of: University of Alberta Labs and Facilities is parent organization of: CCDB - The CyberCell Database is parent organization of: VKCDB - Voltage-gated K Channel Database is parent organization of: Human Metabolome Database is parent organization of: Proteome Analyst is parent organization of: Neuromembrane Simulator is parent organization of: MetaboAnalyst is parent organization of: MetaboAnalyst is parent organization of: Alberta University Diabetes Institute IsletCore Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Transgenic Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Lipidomics Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Flow Cytometry Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Cell Imaging Centre Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Autoclave Repair Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry Workshop Core Facility is parent organization of: University of Alberta Faculty of Medicine and Dentistry High Content Analysis Core Facility is parent organization of: University of Alberta Precision Human Health Laboratory Core Facility provides: Heatmapper |
Free, Freely available | nlx_10148 | SCR_001853 | University of Alberta | 2026-09-03 04:44:58 | 8 | ||||||||
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SamSPECTRAL Resource Report Resource Website 1+ mentions |
SamSPECTRAL (RRID:SCR_001858) | software resource | Software that identifies cell population in flow cytometry data. It demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations. It samples large data such that spectral clustering is possible while preserving density information in edge weights. More specifically, given a matrix of coordinates as input, SamSPECTRAL first builds the communities to sample the data points. Then, it builds a graph and after weighting the edges by conductance computation, the graph is passed to a classic spectral clustering algorithm to find the spectral clusters. The last stage of SamSPECTRAL is to combine the spectral clusters. The resulting connected components estimate biological cell populations in the data sample. | software package, mac os x, unix/linux, windows, r, cell biology, clustering, flow cytometry, stem cell, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Bioconductor |
Cancer, HIV | PMID:20667133 | Free, Available for download, Freely available | OMICS_05638, biotools:samspectral | https://bio.tools/samspectral | SCR_001858 | SamSPECTRAL - Identifies cell population in flow cytometry data | 2026-09-03 04:45:10 | 4 | |||||
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SeattleSNPs - Variation Discovery Resource Resource Report Resource Website 50+ mentions |
SeattleSNPs - Variation Discovery Resource (RRID:SCR_001859) | data or information resource, narrative resource, portal, software resource, topical portal, training material | The SeattleSNPs PGA is focused on identifying, genotyping, and modeling the associations between single nucleotide polymorphisms (SNPs) in candidate genes and pathways that underlie inflammatory responses in humans. SeattleSNPs is focused on variation analysis in genes related to the inflammatory response. These gene targets are found in specific pathways and from interacting molecules contributing to this response. Available Resources: - Baseline assembled and complete genomic sequence and chromosomal location for candidate gene targets - Mapping of exon and repeat structure for candidate genes - Amplification primers and conditions - SNPs mapped by location in gene structure - SNPs with immediate surrounding sequence for genotype assay design - Genotypes and relative allele frequencies of the SNPs - Special features of SNPs - location (5', coding, etc.), amino acid substitutions, recurrent variation - Manuals on all protocols, data analysis procedures, and use of software tools - Workshop on genetic variation analysis and a gene submission program for variation analysis Sponsors: SeattleSNPs is funded as part of the National Heart Lung and Blood Institute's (NHLBI) Programs for Genomic Applications (PGA). | exon, gene, gene target, allele, amino acid, amplification, assay, chromosomal, genomic sequence, genotyping, humans, inflammatory response, molecule, pathway, primer, recurrent varation, repeat structure, singe nucleotide polymorphism (snp), substitution, variation analysis | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10423 | http://pga.mbt.washington.edu/ | SCR_001859 | SeattleSNPs | 2026-09-03 04:45:05 | 62 | ||||||||
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San Diego Supercomputer Center Resource Report Resource Website 1+ mentions |
San Diego Supercomputer Center (RRID:SCR_001856) | SDSC | institution | Founded in 1985, the San Diego Supercomputer Center (SDSC) enables international science and engineering discoveries through advances in computational science and data-intensive, high-performance computing. SDSC is considered a leader in data-intensive computing, providing resources, services and expertise to the national research community including industry and academia. The mission of SDSC is to extend the reach of scientific accomplishments by providing tools such as high-performance hardware technologies, integrative software technologies, and deep interdisciplinary expertise to these communities. From 1997 to 2004, SDSC extended its leadership in computational science and engineering to form the National Partnership for Advanced Computational Infrastructure (NPACI), teaming with approximately 40 university partners around the country. Today, SDSC is an Organized Research Unit of the University of California, San Diego with a staff of talented scientists, software developers, and support personnel. A broad community of scientists, engineers, students, commercial partners, museums, and other facilities work with SDSC to develop cyberinfrastructure-enabled applications to help manage their extreme data needs. Projects run the gamut from creating astrophysics visualization for the American Museum of Natural History, to supporting more than 20,000 users per day to the Protein Data Bank, to performing large-scale, award-winning simulations of the origin of the universe or how a major earthquake would affect densely populated areas such as southern California. Along with these data cyberinfrastructure tools, SDSC also offers users full-time support including code optimization, training, 24-hour help desk services, portal development and a variety of other services. As one of the NSF's first national supercomputer centers, SDSC served as the data-intensive site lead in the agency's TeraGrid program, a multiyear effort to build and deploy the world's first large-scale infrastructure for open scientific research. SDSC currently provides advanced user support and expertise for XSEDE (Extreme Science and Engineering Discovery Environment) the five-year NSF-funded program that succeeded TeraGrid in mid-2011. | engineering, bioinformatics, computing, geoinformatics, hardware, industry, science, software, technology, computational science, supercomputing, cyberinfrastructure |
has parent organization: University of California at San Diego; California; USA is parent organization of: Scaffold builder is parent organization of: OpenTopography is parent organization of: chronopolis is parent organization of: XSEDE - Extreme Science and Engineering Discovery Environment is parent organization of: Family Pairwise Search - Protein Family Classification is parent organization of: Neuroscience Gateway is parent organization of: Magnetics Information Consortium |
NSF | Free, Freely available | nif-0000-10418, Wikidata: Q3947008, grid.419957.7 | https://ror.org/04mg3nk07 | SCR_001856 | 2026-09-03 04:45:00 | 5 |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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