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TwitterThe MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research.
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TwitterTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 16, 2019.Database for annotated mouse proteins and their occurrence in protein networks. It contains cDNA and protein sequences, annotation, gene models and mapping, FunCat, UCSC Genome Viewer, SIMAP, pseudogenes (Genome Viewer Track), InterPro, and splice variants. Protein function annotation is performed using the Functional Catalogue (FunCat) annotation scheme, which is a hierarchically structured classification system. To provide up-to-date similarity search results and InterPro domain analyses, the protein entries are interconnected with the SIMAP database. The gene models are based on the RefSeq mouse cDNAs. The work of our group is focussed on the annotation of biological systems. Therefore, results from the Mammalian Protein-Protein Interaction Database and the Comprehensive Resource of Mammalian Protein Complexes are linked to the MfunGD dataset. Links to external resources are also provided. MfunGD is implemented in GenRE, a J2EE based component oriented multi-tier architecture.
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TwitterThe MIPS Ustilago maydis Genome Database aims to present information on the molecular structure and functional network of the entirely sequenced, filamentous fungus Ustilago maydis. The underlying sequence is the initial release of the high quality draft sequence of the Broad Institute. The goal of the MIPS database is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The specific aims are to: 1. Generate and assemble Whole Genome Shotgun sequence reads yielding 10X coverage of the U. maydis genome 2. Integrate the genomic sequence assembly with physical maps generated by Bayer CropScience 3. Perform automated annotation of the sequence assembly 4. Align the strain 521 assembly with the FB1 assembly provided by Exelixis 5. Release the sequence assembly and results of our annotation and analysis to public Ustilago maydis is a basidiomycete fungal pathogen of maize and teosinte. The genome size is approximately 20 Mb. The fungus induces tumors on host plants and forms masses of diploid teliospores. These spores germinate and form haploid meiotic products that can be propagated in culture as yeast-like cells. Haploid strains of opposite mating type fuse and form a filamentous, dikaryotic cell type that invades plant tissue to reinitiate infection. Ustilago maydis is an important model system for studying pathogen-host interactions and has been studied for more than 100 years by plant pathologists. Molecular genetic research with U. maydis focuses on recombination, the role of mating in pathogenesis, and signaling pathways that influence virulence. Recently, the fungus has emerged as an excellent experimental model for the molecular genetic analysis of phytopathogenesis, particularly in the characterization of infection-specific morphogenesis in response to signals from host plants. Ustilago maydis also serves as an important model for other basidiomycete plant pathogens that are more difficult to work with in the laboratory, such as the rust and bunt fungi. Genomic sequence of U. maydis will also be valuable for comparative analysis of other fungal genomes, especially with respect to understanding the host range of fungal phytopathogens. The analysis of U. maydis would provide a framework for studying the hundreds of other Ustilago species that attack important crops, such as barley, wheat, sorghum, and sugarcane. Comparisons would also be possible with other basidiomycete fungi, such as the important human pathogen C. neoformans. Commercially, U. maydis is an excellent model for the discovery of antifungal drugs. In addition, maize tumors caused by U. maydis are prized in Hispanic cuisine and there is interest in improving commercial production. The complete putative gene set of the Broad Institute''s second release is loaded into the database and in addition all deviating putative genes from a putative gene set produced by MIPS with different gene prediction parameters are also loaded. The complete dataset will then be analysed, gene predictions will be manually corrected due to combined information derived from different gene prediction algorithms and, more important, protein and EST comparisons. Gene prediction will be restricted to ORFs larger than 50 codons; smaller ORFs will be included only if similarities to other proteins or EST matches confirm their existence or if a coding region was postulated by all prediction programs used. The resulting proteins will be annotated. They will be classified according to the MIPS classification catalogue receiving appropriate descriptions. All proteins with a known, characterized homolog will be automatically assigned to functional categories using the MIPS functional catalog. All extracted proteins are in addition automatically analysed and annotated by the PEDANT suite.
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TwitterRepository for genome sequence data in the European Scientists Sequencing Arabidopsis (ESSA) project, part of the Arabidopsis Genome Initiative. It is moving towards becoming an integrated biological knowledge resource by integrating diverse data, tools, query and visualization capabilities. The aim is to create a comprehensive resource for Arabidopsis as a model that can then be used to transfer knowledge onto sequences from other species, including crop plants.
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TwitterA database of the molecular structure and functional network of the entirely sequenced, filamentous fungus Neurospora crassa. The underlying sequence is the release 7 of the high quality draft sequence of the Broad Institute. The goal is to provide a comprehensive genome database in the Genome Research Environment in parallel with other fungal genomes to enable in depth fungal comparative analysis. The database contains the manually modelled gene set generated in the German Neurospora genome project and is combined with Broad calls from release 7 version 3.
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TwitterThis dataset includes the MIPS Data Validation Criteria. The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) streamlines a patchwork collection of programs with a single system where provider can be rewarded for better care. Providers will be able to practice as they always have, but they may receive higher Medicare payments based on their performance.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Full results from our survey of MIPS database complexes including all of the statistics. There is a separate excel sheet for results for the full graph (Normal), the haircut subgraph (Haircut), and the most highly connected subgraph (Max Connect). The final sheet (No Interaction) contains a list of all complexes where there were no interactions between any of the component proteins in the Y2H data. In each spreadsheet, complexes that induced a connected subgraph and complexes that did not induce a connected subgraph are listed separately. Further instructions for how to interpret these tables are in the README spreadsheet.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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The Military Intervention by Powerful States (MIPS) project develops a rigorous, generalizable measure of the effectiveness of military force as a policy instrument and applies the measure to code the outcomes of all military interventions conducted by five major powers since the termination of World War II. The MIPS dataset provides detailed data on US, British, Chinese, French, and Russian uses of military force against both state and non-state targets between 1946 and 2003. In particular, this project focuses on the political objectives strong states pursue through the use of force, the human and material cost of their military operations, and measures of intervention outcomes relative to the intervening states' objectives. The dataset also includes extensive data on factors commonly hypothesized to be associated with war outcomes, such as the nature of the target, the type of force used by the intervening state, and military aid and assistance provided to each side.
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TwitterThe MIPS Local Galaxies program compiles the Spitzer MIPS observations of all available galaxies in several Herschel-SPIRE Local Galaxies Guaranteed Time Programs, including the Very Nearby Galaxies Survey (VNGS), Dwarf Galaxy Survey (DGS), Herschel Reference Survey (HRS), and Herschel Virgo Cluster Survey (HeViCS).
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TwitterThis data set contains 10 second resolution disdrometer data coincident with the MIPS profiling system during the PLOWS field seasons. Data are available for PLOWS IOPs 1,2,4,5,7,8,9,10,12,13,14,17,18,19,21,23 and 24. The data were provided by the University of Alabama-Huntsville and are in a comma-delimited ASCII format.
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TwitterThe MIPS Comprehensive Yeast Genome Database (CYGD) aims to present information on the molecular structure and functional network of the entirely sequenced, well-studied model eukaryote, the budding yeast Saccharomyces cerevisiae. In addition, the data of various projects on related yeasts are used for comparative analysis.
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TwitterThis data package contains the Merit-Based Incentive Payments System (MIPS) Data. It also includes the Alternative Payment Models (APMs) that CMS (Centers for Medicare & Medicaid Services) operates.
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TwitterThe Great Observatories Origins Deep Survey (GOODS) aims to unite extremely deep observations from NASA's Great Observatories (Spitzer, Hubble and Chandra), ESA's Herschel and XMM-Newton, and the most powerful ground-based facilities. The aim is to survey the distant universe to the faintest flux limits across the broadest range of wavelengths. This catalog provides a list of sources for the MIPS 24 micron imaging of the GOODS-N field. It is limited to flux densities greater than 80 microJy, where the source extraction is highly complete and reliable.
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TwitterThis is a database of comparative protein structure models of MIP (Major Intrinsic Protein) family of proteins. The nearly completed sets of MIPs have been identified from the completed genome sequence of organisms available at NCBI. The structural models of MIP proteins were created by defined protocol. The database aims to provide key information of MIPs in particular based on sequence as well as structures. This will further help to decipher the function of uncharacterized MIPs. For each MIP entry, this database contains information about the source, gene structure, sequence features, substitutions in the conserved NPA motifs, structural model, the residues forming the selectivity filter and channel radius profile. For selected set of MIPs, it is possible to derive structure-based sequence alignment and evolutionary relationship. Sequences and structures of selected MIPs can be downloaded from MIPModDB database.
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TwitterThis data set contains surface meteorological data collected coincident with the MIPS profiling system during the PLOWS field seasons. Two different instrumentation setups were utilized as described in the readme file. The temporal resolution is 1 second for IOP10, IOP14, IOP17 and IOP18 and 5 second for IOP 1,2,4,5,7,8,9,12,13,19,21,23 and 24. The data were provided by the University of Alabama-Huntsville. Both systems are in a comma-delimited ascii format, but the parameters included differ.
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TwitterThe PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).The PACS blind catalogs extracted using Starfinder have been matched to the available 24 micron source lists by means of a maximum likelihood analysis (Ciliegi et al. 2001; Sutherland & Saunders 1992), taking advantage of the available 24 micron fluxes. See the documentation for details.
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TwitterCOSMOS is an astronomical survey designed to probe the formation and evolution of galaxies as a function of cosmic time (redshift) and large scale structural environment. The survey covers a 2 square degree equatorial field with imaging by most of the major space-based telescopes (Hubble, Spitzer, GALEX, XMM, Chandra) and a number of large ground based telescopes (Subaru, VLA, ESO-VLT, UKIRT, NOAO, CFHT, and others). Over 2 million galaxies are detected, spanning 75% of the age of the universe.The MIPS 70 and 160 micron catalogs are described in Frayer et al. (2009).
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TwitterThis data set contains electric field mill data collected coincident with either the University of Alabama-Huntsville MIPS profiling system or the National Center for Atmospheric Research MISS profiling system during the PLOWS field seasons. Data are available from the MISS site for IOP7, 8, 14 and 19 and from the MIPS site for IOP7, 8, 9, 10, 14, 17, 18, 19 and 21. The data were provided by the University of Alabama-Huntsville. Data from both sites are in a single column ASCII data format.
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TwitterThis dataset contains University of Alabama - Huntsville Mobile Integrated Profiling System (UAH MIPS) Microwave Profiling Radiometer (MPR) Data including atmospheric profiles of temperature, water vapor, relative humidity, and cloud liquid at 1 minute intervals. These data were collected from 5 December 2013 through 28 January 2014 as part of the Ontario Winter Lake-effect Systems (OWLeS) project.
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TwitterThe PACS Evolutionary Probe (PEP, Lutz et al. 2011) is a Herschel guaranteed time deep extragalactic survey (KPGT_dlutz_1) targeting six among the most popular "blank fields", ten lensing clusters of galaxies, and two z ~1 clusters at wavelengths of 100, and 160 microns. PEP includes SPIRE observations of the two z ~1 clusters at wavelengths of 250, 350, and 500 microns. SPIRE coverage of all other fields is available from the HerMES survey (Oliver et al. 2010). In addition, deep SPIRE GOODS-N data are provided by the GOODS-Herschel program (Elbaz et al. 2011).The list of 24 micron priors adopted in the LH field belongs to a preliminary, private catalog, soon to be replaced by an official public release (E. Egami, January 29th 2013, private communication). The PEP DR1 data package includes this catalog, providing cross-IDs between the list of priors and the new 24 micron catalog soon to become public. See the documentation for more information.
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TwitterThe MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research.