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https://www.agilent.com/en/product/automated-electrophoresis/bioanalyzer-systems/bioanalyzer-instrument/2100-bioanalyzer-instrument-228250

Bioanalyzer system is automated electrophoresis tool that provides an analytical evaluation of various samples types in many workflows, including next generation sequencing NGS, gene expression, biopharmaceutical, and gene editing research. Digital data is provided in timely manner and delivers assessment of sizing, quantitation, integrity and purity from DNA, RNA, and proteins. Minimal sample volumes are required for accurate result, and data may be exported in many different formats.

Proper citation: Agilent 2100 Bioanalyzer Instrument (RRID:SCR_018043) Copy   

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http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_NMR.aspx

Facility that acts as a centralized shared resource for NMR studies on proteins, peptides, small molecules, and carbohydrates in solution or in solid state. It provides instrumentation and expertise for NMR data collection. It also provides consultation with investigators on the feasibility of NMR for structural studies of protein candidates, as well as the optimal method to obtain solution structures and binding information by multi-dimensional NMR techniques. It can also train users in basic spectrometer operations, trouble-shoot for instrumental and operational problems, and set up NMR experiments for users as requested.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute NMR Facility (RRID:SCR_014861) Copy   

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http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_ProteinAnalysis.aspx

Facility that provides a variety of analytical services focused on biophysical characterization of structural and functional properties of proteins in solution, under native, non-denaturing conditions. Examples of services include quality control of protein samples (folding, stability, aggregation); measuring molecular weight of proteins, protein complexes, oligomers and assemblies; charcaterizing protein conformation and shape in solution; determining oligomeric state of protein (including stoichiometry and Kd for self-association) and measuring protein binding to proteins, peptides, small molecules, compounds, metals, nucleotides and other ligands (including determination of equilibrium (Kd) and kinetic rate (kon, koff) constants, stoichiometry, binding enthalpy and entropy).

Proper citation: Sanford Burnham Prebys Medical Discovery Institute Protein Analysis Core (RRID:SCR_014862) Copy   

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https://www.kbdna.com/

Commercial provider of antibodies, antigens and recombinant proteins from Braintree, Massachusetts . Biotechnology company which provides custom oligonucleotides synthesis service.

Proper citation: kbDNA Inc. (RRID:SCR_016570) Copy   

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http://www.vilber.de/en/products/gel-documentation/e-box/

Stand alone gel imager for gel documentation. Provides high-resolution images of DNA, RNA or protein gels. Images can either be printed out directly or saved in internal storage. Transfer of data to PC is possible.

Proper citation: Vilber E-BOX CX5 TS gel imager (RRID:SCR_026106) Copy   

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https://allsheng.com.cn/product_cont_61.html

Nano-100 microspectrophotometer to measure concentration of nucleic acid, protein and cell solution. 0.5 to 2μl of sample volume is required for each measurement. No cuvette is required. At the end of measurement, sample could be either wiped off directly or recovered with pipettor.

Proper citation: ALLSHENG Nano100 Micro-specrophotometer (RRID:SCR_026096) Copy   

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https://www.bdbiosciences.com/zh-cn/products/instruments/single-cell-multiomics-systems/rhapsody

System allows high-throughput capture of multiomic information from single cells using cartridge workflow and multitier barcoding system. Used for high-throughput, multiomic profiling of single cells. Allows to analyze gene expression at both mRNA and protein levels, as well as other cellular characteristics, using microwell-based system with multitiered barcoding approach.This enables the generation of various next-generation sequencing (NGS) libraries for deeper analysis.

Proper citation: BD Rhapsody Single-Cell Analysis System (RRID:SCR_027096) Copy   

•   Source: SciCrunch Registry

http://specimencentral.com/

World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners.

Proper citation: SpecimenCentral.com (RRID:SCR_003536) Copy   

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http://www.genmapp.org/

GenMAPP is a free computer application designed to visualize gene expression and other genomic data on maps representing biological pathways and groupings of genes. Integrated with GenMAPP are programs to perform a global analysis of gene expression or genomic data in the context of hundreds of pathway MAPPs and thousands of Gene Ontology Terms (MAPPFinder), import lists of genes/proteins to build new MAPPs (MAPPBuilder), and export archives of MAPPs and expression/genomic data to the web. The main features underlying GenMAPP are: *Draw pathways with easy to use graphics tools *Color genes on MAPP files based on user-imported genomic data *Query data against MAPPs and the GeneOntology Enhanced features include the simultaneous view of multiple color sets, expanded species-specific gene databases and custom database options.

Proper citation: Gene Map Annotator and Pathway Profiler (RRID:SCR_005094) Copy   

•   Source: SciCrunch Registry

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

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

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

•   Source: SciCrunch Registry

http://www.ch.embnet.org/software/COILS_form.html

COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.

Proper citation: COILS: Prediction of Coiled Coil Regions in Proteins (RRID:SCR_008440) Copy   

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http://lincsportal.ccs.miami.edu/dcic-portal/

Portal which provides a unified interface for searching LINCS dataset packages and reagents. Users can use the portal to access datasets, small molecules, cells, genes, proteins and peptides, and antibodies.

Proper citation: LINCS Data Portal (RRID:SCR_014939) Copy   

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http://www.acert.cornell.edu/

Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories.

Proper citation: National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) Copy   

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http://www.bumc.bu.edu/msr/

Biomedical technology research center that conducts high-sensitivity structural determinations and analyses of biological compounds via mass spectrometry. The emphasis is on glycoconjugates, oligosaccharides and proteins.

Proper citation: BUSM Mass Spectrometry Resource (RRID:SCR_000823) Copy   

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http://depts.washington.edu/yeastrc/

Biomedical technology research center that (1) exploits the budding yeast Saccharomyces cerevisiae to develop novel technologies for investigating and characterizing protein function and protein structure (2) facilitates research and extension of new technologies through collaboration, and (3) actively disseminates data and technology to the research community. Through collaboration, the YRC freely provides resources and expertise in six core technology areas: Protein Tandem Mass Spectrometry, Protein Sequence-Function Relationships, Quantitative Phenotyping, Protein Structure Prediction and Design, Fluorescence Microscopy, Computational Biology.

Proper citation: Yeast Resource Center (RRID:SCR_007942) Copy   

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http://msr.dom.wustl.edu/

Biomedical technology research center that develops mass spectrometry-based tools for the study of proteins, lipids and metaboilites. These include biomarker identification, stable isotope mass spectrometry and the analysis of intact proteins. Our goals are: * to conduct basic research in the science of mass spectrometry * to establish collaborative research projects with scientists at WU and at other institutions * to provide a service in mass spectrometry * to educate and train students in mass spectrometry * to disseminate results of our research and descriptions of the subject of mass spectrometry

Proper citation: NIH / NCRR Mass Spectrometry Resource Washington University in St. Louis (RRID:SCR_009009) Copy   

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https://azurebiosystems.com/products/azure-imaging-systems/azure-600/

Benchtop instrument designed for life science research, specifically for imaging, detecting, and quantifying protein and nucleic acids on gels and blots. It enables multi-channel analysis, including laser infrared (IR) fluorescence, RGB visible fluorescence, and chemiluminescence, allowing for multiplexed Western blots.

Proper citation: Azure Biosystems c600 Imaging System (RRID:SCR_027952) Copy   

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http://www.ncbi.nlm.nih.gov/guide/sitemap/

The National Center for Biotechnology Information''s listing of resources. Sort by alphabetical character, Databases, Downloads, Submissions, Tools and How-To; or by Topic: Chemicals & Bioassays; Data & Software; DNA & RNA; Domains & Structures; Genes & Expression; Genetics & Medicine; Genomes & Maps; Homology; Literature; Proteins; Sequence Analysis; Taxonomy; Training & Tutorials; Variation.

Proper citation: NCBI Resource List (RRID:SCR_005628) Copy   

•   Source: SciCrunch Registry

http://www.exactantigen.com

Database of hundreds of thousands of products submitted by reagent provider partners, and millions of webpages selected from reagent suppliers. All are organized according to genes, species, and reagent types (antibodies, recombinant proteins, ELISA, siRNA, cDNA clones, biochemicals, and others).

Proper citation: Labome (RRID:SCR_007384) Copy   

•   Source: SciCrunch Registry

http://noble.gs.washington.edu/proj/sdp-svm/

A statistical framework for genomic data fusion is a computational framework for integrating and drawing inferences from a collection of genome-wide measurements. Each dataset is represented via a kernel function, which defines generalized similarity relationships between pairs of entities, such as genes or proteins. The kernel representation is both flexible and efficient, and can be applied to many different types of data. Furthermore, kernel functions derived from different types of data can be combined in a straightforward fashion. Recent advances in the theory of kernel methods have provided efficient algorithms to perform such combinations in a way that minimizes a statistical loss function. These methods exploit semidefinite programming techniques to reduce the problem of finding optimizing kernel combinations to a convex optimization problem. Computational experiments performed using yeast genome-wide datasets, including amino acid sequences, hydropathy profiles, gene expression data and known protein-protein interactions, demonstrate the utility of this approach. A statistical learning algorithm trained from all of these data to recognize particular classes of proteins--membrane proteins and ribosomal proteins--performs significantly better than the same algorithm trained on any single type of data. Matlab code to center a kernel matrix and Matlab code for normalization are available.

Proper citation: A statistical framework for genomic data fusion (RRID:SCR_007219) Copy   

•   Source: SciCrunch Registry