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on page 1 showing 20 out of 26 results

Cite this (AtGenExpess - Weigel World, RRID:SCR_000777)

URL: http://jsp.weigelworld.org/expviz/expviz.jsp

Resource Type: Resource, portal, data or information resource

A visualization tool with microarray data and sample descriptions from the AtGenExpress project, which contains Affymetrix microarray data for Arabidopsis, a small flowering plant related to mustard and cabbage. This plant is used as a model organism in plant biology.

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Cite this (biolab - Bioengineering and Bioimages Laboratory, RRID:SCR_008029)

URL: http://www.bio.dist.unige.it/

Resource Type: Resource, topical portal, portal, data or information resource

The Bio-Lab is a Bioengineering and Bioimages laboratory and it''s part of DIST (Department of Computer Science, Control Systems and Telecommunications- University of Genoa). The main research activities of the Bioengineering Laboratory are related with the acquisition, processing and rendering of bioimages with the aim of exploring the links between structure and functionality of biological systems (images of cells in optical confocal microscopy) and for diagnostic and therapeutical processes (images of the human body in Magnetic Resonance, Computerized X-ray Tomography, ultrasounds and other modalities). The main research activities of the laboratory are related to: - Bioimages: medical/biological image analysis and visualization methods are investigated, with a deep attention to the applications development for the driven therapy. - Bioinformatics: in this field, advanced technologies and knowledge related to production and treatment of gene expression microarray distributed data have been implemented. - Tissue Engineering: this research activity is addressed to the development and testing of biomaterials, coupled with adult stem cells for the in vivo bone formation. - Neuroinformatics: the interaction between results of functional neuroimaging and brain computational models has been studied. Among the equipment of the Bioengineering Laboratory there are of particular interest: 2D-3D cell culture bioreactor systems and a virtual reality platform for the interaction person-bioimages, medical data and 3D models. The Bio-Lab also manages a GRID node belonging to the international GILDA network, which is built by 6 server, for a total amount of 12 CPU, 7 GB RAM and 500 GB Disk Space. Additionally, the confocal laser is a very essential tool in this lab; it is a scanning optical microscope with a hardware/software framework virtual reality-like for the interaction person-bioimages, with stereovision, and equipment for head tracking and pointing. The Bio-Lab collaborates with several research institutes and centers, such as the National Institute of Nuclear Physics, the National Research Council, and the Advanced Biotechnology Center (visit Research area or Project area in the web site). Promising collaborations are also on going with different technological companies in the national scenario. The laboratory has also been involved in several international and national projects funded by the European Commission and MUR. Specifically, it is involved in several projects funded by the European Commission projects related to the area of Health Care Telematics, with special reference to emergency telemedicine.

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Cite this (CXR Biosciences, RRID:SCR_003961)

URL: http://www.cxrbiosciences.com/

Resource Type: Resource, portal, organization portal, service resource, commercial organization, data or information resource

Commercial organization that provides preclinical services and expertise, specializing in investigative toxicology, exploratory and discovery toxicology, metabolism and pharmacokinetics.

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Cite this (Deciphering Developmental Disorders, RRID:SCR_006171)

URL: http://www.ddduk.org/

Resource Type: Resource, disease-related portal, topical portal, research forum portal, biospecimen repository, service resource, portal, storage service resource, material storage repository, data or information resource

The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible.

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Cite this (Department of Psychiatry, Turner Laboratory, RRID:SCR_008067)

URL: http://psychiatry.ucsd.edu/Neuroembryologylab/index.htm

Resource Type: Resource, laboratory portal, portal, organization portal, data or information resource

Dr. Eric Turner''s laboratory studies the mechanisms underlying the development of the nervous system. The vertebrate brain is comprised of a tremendous variety of neurons, each class exhibiting a unique phenotype characterized by the expression of specific neurotransmitter receptors, ion channels, patterns of axonal growth, and synapse formation. The research we conduct focuses on the critical role transcription factors play in the specification of neuronal cell type during development. We are particularly interested in transcription factors of the homeodomain family that bind to DNA and in doing so activate or repress gene expression. One area of study is the role of POU-domain transciption factor Brn3a in axon growth and survival. The primary research areas are: * Neuronal cell fate determination: The expression of regulatory genes is manipulated in living chick embryos using microsurgery and electroporation and the effects on neural marker genes studied. * Molecular mechanisms of gene regulation: Target DNA binding sites of neural transcription factors are biochemically characterized and findings coordinated with sequence data from the mouse and human genomes. * Targeted misexpression of regulatory genes: Transgenic and knockout mouse technology is used to misexpress genes of interest, and the effects on neural marker genes, axonal growth, and cell survival studied. * Global analysis of neural gene expression: Micro-arrays (GeneChips) are employed in conjunction with other areas of study to understand the coordinated regulation of gene expression in the nervous system. Dr. Turner is a member of the University of California, San Diego''s Graduate Program in Neuroscience and Biomedical Sciences Program and accepts students from these two programs. Interesting rotation projects are available using methods ranging from biochemistry and molecular biology to embryology. Additionally, Dr. Turner is also the Director of this NIMH-funded training program for research-oriented psychiatrists, psychologists, and basic neuroscientists working in areas relevant to psychiatry. Typically Fellows spend two years in the program, during which they develop a research project under the close supervision of one of the highly productive members of the UCSD Department of Psychiatry, or another investigator in the La Jolla (UCSD/Salk/Scripps) research community.

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Cite this (DTU Center for Biological Sequence Analysis, RRID:SCR_003590)

URL: http://www.cbs.dtu.dk/index.shtml

Resource Type: Resource, topical portal, data access protocol, production service resource, analysis service resource, training resource, data analysis service, data set, web service, service resource, portal, software resource, data or information resource

The Center for Biological Sequence Analysis of the Technical University of Denmark conducts basic research in the field of bioinformatics and systems biology and directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. A large number of computational methods have been produced, which are offered to others via WWW servers. Several data sets are also available. The center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. The on-line prediction services at CBS are available as interactive input forms. Most of the servers are also available as stand-alone software packages with the same functionality. In addition, for some servers, programmatic access is provided in the form of SOAP-based Web Services. The center also educates engineering students in biotechnology and systems biology and offers a wide range of courses in bioinformatics, systems biology, human health, microbiology and nutrigenomics.

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Cite this (Einstein-Montefiore ICTR Research Informatics Core, RRID:SCR_003451)

URL: http://bioinformatics.aecom.yu.edu/index.htm

Resource Type: Resource, database, service resource, portal, storage service resource, data repository, community building portal, data or information resource

Primary informatics resource for joint research efforts of the Albert Einstein College of Medicine and Montefiore Medical Center to facilitate the study and understanding of biological processes, clinical disorders, pathologic abnormalities, and the relationships among them, using a wide variety of informatics techniques, applications, and user training. Their services include: * Collaboration on research design to enable effective data management throughout all phases of a project * Provision of management capability for large volumes of data generated by microarrays and related technologies * Provision and supports a software toolchest for data capture, retrieval, and analysis * Design and implementation of custom interfaces to incorporate existing or separately designed databases into the central data management architecture * Support for data management for the Biorepository, to enhance specimen storage, identification, and linkage with clinical data * Ensuring conformity of data elements and structures to national standards via participation in standards organizations, facilitating intramural and extramural collaboration * Providing individualized support to end-users with bioinformatics training needs * Serving as a bioinformatics liaison to other research institutes and organizations * Providing data management support for clinical research * Providing a common, secure repository for clinical, experimental, and biosample storage data

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Cite this ( GenitoUrinary Development Molecular Anatomy Project , RRID:SCR_001554)

URL: http://www.gudmap.org

Resource Type: Resource, organization portal, resource, organism supplier, database, biomaterial supply resource, consortium, standard specification, reference atlas, narrative resource, experimental protocol, portal, atlas, material resource, data or information resource

International consortium providing a molecular atlas of gene expression for the developing organs of the GenitoUrinary (GU) tract; a high resolution molecular anatomy highlighting development of the GU system; mouse strains to facilitate developmental and functional studies within the GU system; experimental protocols and standard specifications; tutorials describing GU organogenesis and primary data via the database. The data are from large-scale in situ hybridization screens (wholemount and section) and microarray gene expression data of microdissected, laser-captured and FACS-sorted components of the developing mouse genitourinary (GU) system. These expression data are annotated using a high-resolution anatomy ontology specific to the developing murine GU system.

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Cite this (Genomatix Software: Understanding Gene Regulation, RRID:SCR_008036)

URL: http://www.genomatix.de/

Resource Type: Resource, topical portal, data analysis software, data processing software, database, software application, narrative resource, short course material, portal, software resource, training material, data or information resource

Genomatix is a privately held company that offers software, databases, and services aimed at understanding gene regulation at the molecular level representing a central part of systems biology. Its multilayer integrative approach is a working implementation of systems biology principles. Genomatix combines sequence analysis, functional promoter analysis, proprietary genome annotation, promoter sequence databases, comparative genomics, scientific literature data mining, pathway databases, biological network databases, pathway analysis, network analysis, and expression profiling into working solutions and pipelines. It also enables better understanding of biological mechanisms under different conditions and stimuli in the biological context of your data. Some of Genomatix'' most valuable assets are the strong scientific background and the years of experience in research & discovery as well as in development & application of scientific software. Their firsthand knowledge of all the complexities involved in the in-silico analysis of biological data makes them a first-rate partner for all scientific projects involving the evaluation of gene regulatory mechanisms. The Genomatix team has more than a decade of scientific expertise in the successful application of computer aided analysis of gene regulatory networks, which is reflected by more than 150 peer reviewed scientific publications from Genomatix'' scientists More than 35,000 researchers in industry and academia around the world use this technology. The software available in Genomatix are: - GenomatixSuite: GenomatixSuite is our comprehensive software bundle including ElDorado, Gene2Promoter, GEMS Launcher, MatInspector and MatBase. GenomatixSuite PE also includes BiblioSphere Pathway Edition. Chromatin IP Software - RegionMiner: Fast, extensive analysis of genomic regions. - ChipInspector: Discover the real power of your microarray data. Genome Annotation Software - ElDorado: Extended Genome Annotation. - Gene2Promoter: Retrieve & analyze promoters - GPD: The Genomatix Promoter Database, which is now included with Gene2Promoter. Knowledge Mining Software - BiblioSpere : The next level of pathway/genomics analysis. - LitInspector: Literature and pathway analysis for free. Sequence Analysis Software - GEMS Launcher: Our integrated collection of sequence analysis tools. - MalInspector: Search transcription factor binding sites - MatBase: The transcription factor knowledge base. Other (no registration required) Software - DiAlign: Multiple alignment of DNA/protein sequence. - Genomatix tools: Various small tools for sequence statistics, extraction, formatting, etc.

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Cite this (GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab, RRID:SCR_005708)

URL: http://dbbb.georgetown.edu/research/bioinformatics/

Resource Type: Resource, laboratory portal, portal, organization portal, data or information resource

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016.

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    HDBase

Cite this (HDBase, RRID:SCR_007132)

URL: http://hdbase.org/cgi-bin/welcome.cgi

Resource Type: Resource, disease-related portal, data set, topical portal, portal, data or information resource

A community website for Huntington''s Disease (HD) research that currently contains Y2H and Mass spectrometry protein-protein interaction data centered around the HD protein (huntingtin) and information on therapeutic studies in mouse. Also available are raw Human and Mouse Affymetrix Microarray data. The protein interaction data is from several sources, including interactions curated from the literature by ISB staff, experimentally determined interactions produced by Bob Hughes and colleagues at Prolexys (currently password protected), and interactions reported in a recent publication by Goehler et al from Eric Wanker''s lab. Content areas that may be covered by the site include the following: * Therapeutic studies in mouse, primarily drug screens. * HD mouse models with a focus on timelines of disease progression. * Antibodies used in HD research. * Microarray gene expression studies. * Genes and proteins relevant to HD research. This includes HD itself, the growing list of proteins thought to interact directly or indirectly with huntingtin (Htt), and other genes and proteins implicated in the disease process. * Molecular pathways thought to be involved in the disease process. * Timelines of disease for Mouse models

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Cite this (ISCA Consortium, RRID:SCR_006168)

URL: https://www.iscaconsortium.org/

Resource Type: Resource, database, international standard specification, standard specification, narrative resource, portal, community building portal, data or information resource

A rapidly growing group of clinical cytogenetics and molecular genetics laboratories committed to improving quality of patient care related to clinical genetic testing using new molecular cytogenetic technologies including array comparative genomic hybridization (aCGH) and quantitative SNP analysis by microarrays or bead chip technology. They improve clinical care by providing a large publicly available database and forum where clinicians and researchers can share knowledge to expedite the understanding of copy number variation (CNV) in an abnormal population. The ISCA database contains whole genome array data from a subset of the ISCA Consortium clinical diagnostic laboratories. Array analysis was carried out on individuals with phenotypes including intellectual disability, autism, and developmental delay. Efforts of the Consortium include: # Clinical Utility: The ISCA Consortium has made recommendations regarding the appropriate clinical indications for cytogenetic array testing (Miller et al. AJHG 2010, PMID: 20466091). Currently, discussions are focused on pediatric applications for children with unexplained developmental delay, intellectual disability, autism and other developmental disabilities. A separate committee has been developed to address appropriate cancer genetic applications (http://www.urmc.rochester.edu/ccmc/). # Evidence-based standards for cytogenomic array design: The Consortium will develop recommendations for standards for the design, resolution and content of cytogenomic arrays using an evidence-based process and an international panel of experts in clinical genetics, clinical laboratory genetics (cytogenetics and molecular genetics), genomics and bioinformatics. This design is intended to be platform and vendor-neutral (common denominator is genome sequence coordinates), and is a dynamic process with input from the broader genetics community and evidence-based review by the expert panel (which will evolve into a Standing Committee with international representation). # Public Database for clinical and research community: It is essential that publicly available databases be created and maintained for cytogenetic array data generated in clinical testing laboratories. The ISCA data will be held in dbGaP and dbVar at NCBI/NIH and curated by a committee of clinical genetics laboratory experts. The very high quality of copy number data (i.e., deletions and duplications) coming from clinical laboratories combined with expert curation will produce an invaluable resource to the clinical and research communities. # Standards for interpretation of cytogenetic array results: Using the ISCA Database, along with other genomic and genetics databases, the Consortium will develop recommendations for the interpretation and reporting of pathogenic vs. benign copy number changes as well as imbalances of unknown clinical significance.

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Cite this (Maitreya Dunham's Lab, RRID:SCR_000784)

URL: http://dunham.gs.washington.edu/protocols.shtml

Resource Type: Resource, portal, data or information resource

A portal for Maitreya Dunham's lab, which works on the genomic analysis of experimental evolution in yeast using microarrays and the chemostat. Research interests of the lab include experimental evolution of genetic networks in yeast, aneuploidy and copy number variation, comparative genomics, technology development and human genetics in yeast.

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Cite this (Medical Research Council Harwell: An International Centre for Mouse Genetics, RRID:SCR_008013)

URL: https://www.har.mrc.ac.uk

Resource Type: Resource, topical portal, training resource, graduate program resource, portal, postdoctoral program resource, data or information resource

Portal at the international forefront in the use of mouse genetics to study the relationship between gene and disease. The models created and studied are used to understand the disease processes that occur when a gene goes wrong. Research at MRC Harwell comprises 11 programs that are grouped into three major sections with extensive cross-talk between sections: Functional Genomics and Disease Mechanisms, Neuroscience, and Metabolism. Harwell, in collaboration with Oxford, also offers graduate and post doc programs. The aim is to have information about the relationship between gene and disease for every gene in the mouse genome, and by extension every gene in the human genome. This will provide a wealth of data and opportunities for advances in medical understanding and treatment. The national centre for mouse genetics at Harwell is in the vanguard of these developments, providing the research programs and expertise, allied to state-of-the-art facilities, to advance medicine and knowledge through the discovery and investigation of mouse models of human disease. The Mammalian Genetics Unit is a major international research center at the forefront of studies in mouse genetics and functional genomics, investigating a wide variety of disease models and enhancing our understanding of the molecular and genetic bases of disease. The Mary Lyon Centre is a national facility for mouse functional genomics, providing world-class expertise, tools and space to generate mouse models of human disease for MRC Harwell and the wider research community.

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    MolGen

Cite this (MolGen, RRID:SCR_005700)

URL: http://www.molgen.de

Resource Type: Resource, topical portal, portal, data or information resource

The research of the group concentrates on the molecular biology of Gram-positive bacteria, with Bacillus subtilis and Lactococcus lactis as the main model organisms. A number of important (human) pathogens are also investigated: Bacillus cereus, Streptococcus pneumoniae and Enterococcus faecalis. The nature of the research is both fundamental and application-oriented. Transcript- and protein profiling by high-throughput technologies such as DNA microarrays and proteomics tools are being used. The very large data sets generated are analyzed by employing existing and novel bioinformatics tools. Major lines of research are in the field of functional genomics of these organisms, using systems- and synthetic biology approaches.

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Cite this ( MTOPS Prostate Samples Analysis Consortium , RRID:SCR_000041)

URL: http://archives.niddk.nih.gov/patient/mpsa/mpsa.aspx

Resource Type: Resource, disease-related portal, topical portal, resource, research forum portal, portal, data or information resource

Cross-disciplinary, multi-institutional network with a wide range of experts to analyze serum and tissue samples collected in the Medical Therapy of Prostatic Symptoms (MTOPS) trial. The consortium aims to discover and validate biomarkers for the detection, risk assessment, and disease progression assessment of benign prostatic hyperplasia (BPH). Analysis of the samples will also allow a biological evaluation of patients' responses to pharmacological treatments employed in MTOPS and correlation with BPH clinical parameters. Investigators will perform cooperative studies using the MTOPS material to evaluate genetic, immunologic, or biochemical biomarkers relevant to the progression of BPH, response-to-therapy, and the concurrent development of prostate cancer. The consortium will generate and validate biomarkers that will be made available to research community for use in a variety of investigations, including testing strategies for early detection, prevention, therapeutics, or imaging. The consortium will also produce research tools such as serum protein arrays, layered expression arrays, or tissue arrays that can be used by the research community. To identify novel targets for use as validated BPH markers, the consortium is currently exploring novel aspects of BPH biology and response to therapy. Several groups are using proteomic approaches, including SELDI, other types of mass spectrometry analysis, and 2D electrophoresis. Other groups are pursuing gene expression microarray analysis. The consortium is also organizing available data to identify current gaps. Groups with additional microarray data that has focused on BPH have compiled a common database of genes with expression patterns that are altered with the disease. This combined dataset will be used to identify some novel biomarkers revealed by single-site analyses. These novel biomarkers will then be validated using the tissues and serum microarrays that are being assembled. Another collaborative effort of the consortium involves construction of common tissue and serum resources and tissue microarrays (TMAs). Lists of available resources at each of the consortium member sites have been assembled along with information addressing secondary outcomes such as prediction of prostate growth and prediction of disease progression. Initial tissue microarrays composed of tissues from a number of sites have been constructed. Additional TMAs and serum microarrays are being constructed; these microarrays will be used by consortium members to aid in the validation of potential biomarkers. Participating in the MPSA network are one pathology-coordination center, six biomarker units, and a data coordinating center. The consortium comprises UT Southwestern, Vanderbilt University, Brigham and Women's Hospital, Harvard/University of Michigan, Baylor College of Medicine, University of Pittsburgh, and University of Colorado.

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Cite this (NIA Mouse cDNA Project Home Page, RRID:SCR_001472)

URL: http://lgsun.grc.nia.nih.gov/cDNA/cDNA.html

Resource Type: Resource, database, biomaterial supply resource, data set, portal, material resource, data or information resource

Project portal housing NIA Mouse EST Project, NIA Mouse cDNA Clone Sets, a NIA Mouse Gene Index, NIA Mouse cDNA Database, and NIA Mouse Microarrays. Characteristics of NIA 15K Mouse cDNA Clone Set * ~15,000 unique cDNA clones were rearrayed among 52,374 ESTs from pre- and periimplantation embryos, E12.5 female gonad/mesonephros, and newborn ovary. * Up to 50% are derived from novel genes. * ~1.5 kb average insert size. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H3001A01 to H3159G07. * Handling of NIA 15k cDNA Clone Set(June3, 2000) Characteristics of NIA mouse 7.4K cDNA Clone Set * ~7407 cDNA clones with no redundancy within the set or with NIA Mouse 15K. * ~1.5 kb average insert size for short insert clones and ~2.5-3.0 kb average insert size for long-insert enriched clones.. * Clones were sequenced from 5' and 3' termini to obtain longer reads and verify sequence. Sequence information is available at this Web Site. Clone names are from H4001A01 to H4079G07. * Handling of NIA mouse 7.4k cDNA Clone Set (similar to handling of NIA mouse 15K, to be updated) Individual Clones are available from ATCC and MRC geneservice, UK. To obtain Clone, search the database using either the rearrayed clone name or GenBank accession number at the Key Word Search page. Follow the link to the sequence information page for the rearrayed clone to obtain source clone ATCC number. Clicking the ATCC number will bring up the ATCC ordering page for the source clone. There is essentially no overlap between the two clone sets (7.4K and 15K) said Minoru S.H. Ko, M.D., Ph.D., head of the Developmental Genomics and Aging Section in the NIA's Laboratory of Genetics. In addition, all cDNA clones in the NIA 7.4K set were purified by single colony isolation and sequence-verified, and more than half were prepared by a new procedure that yields long full-length cDNAs (average size 3-4 kb). The NIA Mouse 15k and 7.4k Clone Set Data and Published Microarray Data are available for download. NIA Mouse Microarrays *Microarray Data Download * 60-mer Oligo Array Platform ** (A) NIA 22k Oligo Microarray Gene List (21939 gene features) ( Carter et al 2003 ) ** (B) Agilent Mouse Development Oligo Microarray Gene List ** ( Subset of Microarray (A): 20,280 gene features ) * Data Analysis Tools

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Cite this (NIA Scientific Resources, RRID:SCR_008269)

URL: http://www.nia.nih.gov/research/scientific-resources

Resource Type: Resource, organization portal, organism supplier, database, biomaterial supply resource, narrative resource, book, portal, material resource, data or information resource

A resource that provides information on the vast number of resources available from the National Institute of Aging. NIA maintains approximately 150 primates (Macaca mulatta) at four regional primate centers where aging-related research is conducted. NIA also maintains colonies of aged rats and mice that are used for age-related disease research. This resource supports a multi-institutional study, the Interventions Testing Program (ITP), that investigates diets and dietary supplements that extend lifespan, delay disease and avoid dysfunction. NIA is also in charge of a microarray facility which provides filter arrays of 17,000 mouse cDNA clone sets that were developed at the NIA Intramural Research Program Laboratory of Genetics. NIA supports studies that provide biospecimens that can be shared for later research. This resource also helps the C. elegans Genetic Center at the University of Minnesota, which contains 1,000 strains of C. elegans that can be used for aging studies. This resource also provides a searchable database for epidemiological research on aging. There is access to social and behavioral research materials, including books on aging and health, from the research was conducted and supported by NIA. There are links to federal web sites that are further resources for aging research that were supported by NIA.

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Cite this (NIF Data Federation, RRID:SCR_004834)

URL: https://neuinfo.org/mynif/search.php?list=cover&q=*

Resource Type: Resource, service resource, portal, data or information resource

Service that partners with the community to expose and simultaneously drill down into individual databases and data sets and return relevant content. This type of content, part of the so called hidden Web, is typically not indexed by existing web search engines. Every record links back to the originating site. In order for NIF to directly query these independently maintained databases and datasets, database providers must register their database or dataset with the NIF Data Federation and specify permissions. Databases are concept mapped for ease of sharing and to allow better understanding of the results. Learn more about registering your resource, http://neuinfo.org/nif_components/disco/interoperation.shtm Search results are displayed under the Data Federation tab and are categorized by data type and nervous system level. In this way, users can easily step through the content of multiple resources, all from the same interface. Each federated resource individually displays their query results with links back to the relevant datasets within the host resource. This allows users to take advantage of additional views on the data and tools that are available through the host database. The NIF site provides tutorials for each resource, indicated by the Professor Icon professor icon showing users how to navigate the results page once directed there through the NIF. Additionally, query results may be exported as an Excel document. Note: NIF is not responsible for the availability or content of these external sites, nor does NIF endorse, warrant or guarantee the products, services or information described or offered at these external sites. Integrated Databases: Theses virtual databases created by NIF and other partners combine related data indexed from multiple databases and combine them into one view for easier browsing. * Integrated Animal View * Integrated Brain Gene Expression View * Integrated Disease View * Integrated Nervous System Connectivity View * Integrated Podcasts View * Integrated Software View * Integrated Video View * Integrated Jobs * Integrated Blogs For a listing of the Federated Databases see, http://neuinfo.org/mynif/databaseList.php or refer to the Resources Listed by NIF Data Federation table below.

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Cite this (Primate Embryo Gene Expression Resource, RRID:SCR_002765)

URL: http://www.preger.org/

Resource Type: Resource, topical portal, production service resource, biomaterial supply resource, database, material service resource, service resource, portal, material resource, biomaterial manufacture, data or information resource

Sample collection of oocytes obtained from various sized antral follicles, and embryos obtained through a variety of different protocols. The PREGER makes it possible to undertake quantitative gene-expression studies in rhesus monkey oocytes and embryos through simple and cost-effective hybridization-based methods.

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