We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
ICEberg is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. ICEberg will facilitate efficient, multidisciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community.
The Stanford Human OligoGenome Project hosts a database of capture oligonucleotides for conducting high-throughput targeted resequencing of the human genome. This set of capture oligonucleotides covers over 92% of the human genome for build 37 / hg19 and over 99% of the coding regions defined by the Consensus Coding Sequence (CCDS). The capture reaction uses a highly multiplexed approach for selectively circularizing and capturing multiple genomic regions using the in-solution method developed in Natsoulis et al, PLoS One 2011. Combined pools of capture oligonucleotides selectively circularize the genomic DNA target, followed by specific PCR amplification of regions of interest using a universal primer pair common to all of the capture oligonucleotides. Unlike multiplexed PCR methods, selective genomic circularization is capable of efficiently amplifying hundreds of genomic regions simultaneously in multiplex without requiring extensive PCR optimization or producing unwanted side reaction products. Benefits of the selective genomic circularization method are the relative robustness of the technique and low costs of synthesizing standard capture oligonucleotide for selecting genomic targets.
ESCI (pronounced ''esky'') is a set of interactive simulations that run under Microsoft Excel. The set of Excel files lets students explore some key concepts in statistical and quantitative reasoning, including effect sizes, confidence intervals, and meta analysis. These are key concepts in the neuroscience toolkit, but can be particularly difficult to foster in undergraduate and graduate students. With ESCI you can: * explore many Confidence Interval (CI) concepts * calculate and display CIs for your own data, for some simple designs * calculate CIs for Cohen''s standardized effect size d * explore noncentral t distributions and their role in statistical power * use CIs for simple meta-analysis, using original or standardized units * explore all these concepts via vivid interactive graphical simulations. The simulations are free, excellent, and come with detailed supporting materials. Cumming also has a printed textbook companion which is quite good. Cumming, G. (2012). Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis. New York: Routledge * Explains estimation, with many examples. * Designed for any discipline that uses statistical significance testing. * For advanced undergraduate and graduate students, and researchers. * Comes with free ESCI software. * May be the first evidence-based statistics textbook. * Assumes only prior completion of any intro statistics course. * See the dance of the confidence intervals, and many other intriguing things. The Excel files truly stand on their own, though, with good feedback from their use in a basic stats class for psych and neuroscience majors. Finally, if you are like me and learned the ''old school'' statistics of null-hypothesis testing, here''s a great article by Gerd Gigerenzer to kick you into the ''new school'' of confidence intervals and effect sizes. Learn the dirty secrets of null hypothesis testing: Gigerenzer G, Kraus S & Vitouch O. (2004). The null ritual: What you always wanted to know about significance testing but were afraid to ask. The Sage Handbook of Quantitative Methodology for the Social Sciences, p. 391-408: http://library.mpib-berlin.mpg.de/ft/gg/GG_Null_2004.pdf
Software providing a simple method for comparison of gene expression generated across different experiments, and on different platforms; that does not require global renormalization, and is not restricted to comparison of identical probes. YuGene works on a range of microarray dataset distributions, such as between manufacturers. The resulting output allows direct comparisons of gene expression between experiments and experimental platforms.
Hot spots are energetically important residues at protein interfaces and they are not randomly distributed across the interface but rather clustered. These clustered hot spots form hot regions. Hot regions are important for the stability of protein complexes, as well as providing specificity to binding sites. HotRegion provides the hot region information of the interfaces by using predicted hot spot residues, and structural properties of these interface residues such as pair potentials of interface residues, accessible surface area (ASA) and relative ASA values of interface residues of both monomer and complex forms of proteins. Also, the 3D visualization of the interface and interactions among hot spot residues are provided. The number of interfaces in the database is 147909 and still growing.
The Advanced Centre for Treatment, Research and Education in Cancer (ACTREC) is the new state-of-the-art R&D satellite of the Tata Memorial Centre (TMC), which also includes under its umbrella the Tata Memorial Hospital (TMH), the largest cancer hospital in Asia. ACTREC has the mandate to function as a national centre for treatment, research and education in cancer. TMC is an autonomous grant-in-aid institution of the Department of Atomic Energy (DAE), Government of India. It is registered under the Societies Registration Act (1860) and the Bombay Public Trust Act (1950). Its Governing Council is headed by the Chairman, Atomic Energy Commission, Government of India. ACTREC comprises of 2 arms - one for basic research and another for clinical research. The basic research building was inaugurated in March 2002 at the new site of ACTREC in Kharghar, Navi Mumbai. In August 2002, the Cancer Research Institute (CRI) shifted in toto from its Parel campus in Mumbai to serve as the basic research arm of ACTREC. The clinical research arm of ACTREC comprising of the Clinical Research Centre (CRC) has become functional from March 2005. ACTREC also has a 50-bed hospital fully equipped with state-of-the-art diagnostic and therapeutic facilities. Research investigations at CRI currently focus on molecular mechanisms responsible for causation of major human cancers relevant to India. It is envisaged that in the future, ACTREC will play a greater role in drug development and emerging therapies for treatment and prevention of cancer.
Wnt proteins form a family of highly conserved secreted signaling molecules that regulate cell-to-cell interactions during embryogenesis. Insights into the mechanisms of Wnt action have emerged from several systems: genetics in Drosophila and Caenorhabditis elegans; biochemistry in cell culture and ectopic gene expression in Xenopus embryos. Mutations in Wnt genes or Wnt pathway components lead to specific developmental defects, while various human diseases, including cancer, are caused by abnormal Wnt signaling.As currently understood, Wnt proteins bind to receptors of the Frizzled and LRP families on the cell surface. Through several cytoplasmic relay components, the signal is transduced to beta-catenin , which then enters the nucleus and forms a complex with TCF to activate transcription of Wnt target genes. Protein sequence databases, Databases of individual protein families, Metabolic and Signaling Pathways, Protein-protein interactions
The HCV sequence database collects and annotates sequence data and provides them to the public via a website that contains a user-friendly search interface and a large number of sequence analysis tools, based on the model of the highly regarded Los Alamos HIV database. The hepatitis C virus (HCV) is a significant threat to public health worldwide. The virus is highly variable and evolves rapidly, making it an elusive target for the immune system and for vaccine and drug design. At present, some 30 000 HCV sequences have been published. This central website provides annotated sequences and analysis tools that will be helpful to HCV scientists worldwide. Things you can do: * Find sequences in the database * Download sequences from the database * Retrieve data about the sequences * Analyze sequences * Work with the sequences using our tools * Download ready-made alignments The HCV sequence database was officially launched in September 2003. Since then, its usage has steadily increased and is now at an average of approximately 280 visits per day from distinct IP addresses.
wFleaBase provides gene and genomic information for species of the genus Daphnia - commonly known as the water flea. It contains the genome of Daphnia pulex and other species, including bulk data files, and all gene pages, plus genomics tools including microsatellites, cDNA, Cosmid and BAC libraries, GSS and ESTs, and microarrays. It also contains maps of the Daphnia genome, and genome annotation tools. The freshwater crustacean Daphnia is a model system for ecology, evolution and the environmental sciences. The rapidly growing genomic data for this organism is stimulating interdisciplinary research to understand the complex interplay between genome structure, gene expression, individual fitness, and population-level responses to chemical contaminants and environmental change.wFleaBase includes data from all species of the genus, yet the primary species are D. pulex and D. magna, because of the broad set of genomic tools that have already been developed for these animals. A complete sequence for Daphnia pulex is now available at this site. Please observe this Data release policy. The data is a first characterization of the crustacean genome, which was made possible by the U.S. Department of Energy (DOE) Joint Genome Institute (JGI) in collaboration with the Daphnia Genomics Consortium (DGC) whose members were funded by the National Science Foundation. Category: Genomics Databases (non-vertebrate) Subcategory: Invertebrate genome databases
The Hemorrhagic Fever Viruses (HFV) sequence database collects and stores sequence data and provides a user-friendly search interface and a large number of sequence analysis tools, following the model of the highly regarded and widely used Los Alamos HIV database. The database uses an algorithm that aligns each sequence to a species-wide reference sequence. The NCBI RefSeq database is used for this; if a reference sequence is not available, a Blast search finds the best candidate. Using this method, sequences in each genus can be retrieved pre-aligned. Hemorrhagic fever viruses (HFVs) are a diverse set of over 80 viral species, found in 10 different genera comprising five different families: arena-, bunya-, flavi-, filo- and togaviridae. All these viruses are highly variable and evolve rapidly, making them elusive targets for the immune system and for vaccine and drug design. About 55,000 HFV sequences exist in the public domain today. A central website that provides annotated sequences and analysis tools will be helpful to HFV researchers worldwide.
Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. Structured and controlled vocabulary for phenotypic features encountered in human hereditary and other disease. HPO is being developed in collaboration with members of OBO Foundry (Open Biological and Biomedical Ontologies), and logical definitions for HPO terms are being developed using PATO and a number of other ontologies including FMA, GO, ChEBI, and MPATH.
Combines collections of genetic variants (GVs) from GWAS and their comprehensive functional annotations, as well as disease classifications. Used to maximize utilility of GWAS data to gain biological insights through integrative, multi-dimensional functional annotation portal. In addition to all GVs annotated in NHGRI GWAS Catalog, we manually curate GVs that are marginally significant (P value < 10-3) by looking into supplementary materials of each original publication and provide extensive functional annotations for these GVs. GVs are manually classified by diseases according to Disease Ontology Lite and HPO (Human Phenotype Ontology) for easy access. Database can also conduct gene based pathway enrichment and PPI network association analysis for those diseases with sufficient variants. SOAP services are available. You may Download GWASdb SNP. (This file contains all of the significant SNP in GWASdb. In the pvalue column, 0 means this P-value is not reported in the study but it is significant SNP. In the source column, GWAS:A represents the original data in GWAS catalog, while GWAS:B is our curation data which P-value < 10-3)
FunTree provides a range of data resources to detect the evolution of enzyme function within distant structurally related clusters within domain super families as determined by CATH. To access the resource enter a specific CATH superfamily code or search for a structure / sequence / function (either via a EC code or KEGG ligand / reaction ID, PDB ID or UniProtKB ID). Or browse the resource via superfamily / function / structure / metabolites & reactions via the menu on the left panel. FunTree is a new resource that brings together sequence, structure, phylogenetic, chemical and mechanistic information for structurally defined enzyme superfamilies. Gathering together this range of data into a single resource allows the investigation of how novel enzyme functions have evolved within a structurally defined superfamily as well as providing a means to analyse trends across many superfamilies. This is done not only within the context of an enzyme''''s sequence and structure but also the relationships of their reactions. Developed in tandem with the CATH database, it currently comprises 276 superfamilies covering 1800 (70%) of sequence assigned enzyme reactions. Central to the resource are phylogenetic trees generated from structurally informed multiple sequence alignments using both domain structural alignments supplemented with domain sequences and whole sequence alignments based on commonality of multi-domain architectures. These trees are decorated with functional annotations such as metabolite similarity as well as annotations from manually curated resources such the catalytic site atlas and MACiE for enzyme mechanisms.
FungiDB is a database for functional and evolutionary comparison of fungal genomes. FungiDB is a functional genomic resource for pan-fungal genomes that was developed in partnership with the Eukaryotic Pathogen Bioinformatic resource center (http://EuPathDB.org). FungiDB uses the same infrastructure and user interface as EuPathDB, which allows for sophisticated and integrated searches to be performed using an intuitive graphical system. The current release of FungiDB contains genome sequence and annotation from 18 species spanning several fungal classes, including the Ascomycota classes, Eurotiomycetes, Sordariomycetes, Saccharomycetes and the Basidiomycota orders, Pucciniomycetes and Tremellomycetes, and the basal "Zygomycete" lineage Mucormycotina. Additionally, FungiDB contains cell cycle microarray data, hyphal growth RNA-sequence data and yeast two hybrid interaction data. The underlying genomic sequence and annotation combined with functional data, additional data from the FungiDB standard analysis pipeline and the ability to leverage orthology provides a powerful resource for in silico experimentation.
The mission of the Doris Duke Charitable Foundation is to improve the quality of people''s lives through grants supporting the performing arts, environmental conservation, medical research and the prevention of child abuse, and through preservation of the cultural and environmental legacy of Doris Duke''s properties. Established in 1996, the foundation supports four national grant-making programs. It also supports three properties that were owned by Doris Duke in Hillsborough, New Jersey; Honolulu, Hawaii; and Newport, Rhode Island. The foundation is headquartered in New York and is governed by a board of 12 Trustees. DDCF''s activities are guided by the will of Doris Duke, who endowed the foundation with financial assets that totaled approximately $1.6 billion as of December 31, 2010. The foundation regularly evaluates and modifies its allocation of resources from the endowment to support the programs and properties and to respond to fluctuations in portfolio returns. The foundation awarded its first grants in 1997. As of December 31, 2011, the foundation has awarded grants totaling more than $1 billion. DDCF awards grants in four core program areas: * The Arts Program supports performing artists with the creation and public performance of their work. * The Environment Program supports efforts that enable communities to protect and manage wildlife habitat and create efficient built environments. * The Medical Research Program seeks to contribute to the prevention and cure of disease by supporting clinical research. * The Child Abuse Prevention Program seeks to protect children from abuse and neglect in order to promote their healthy development. In the fall of 2007, DDCF also launched the African Health Initiative, with the goal of strengthening health systems in sub-Saharan Africa. The Building Bridges Program, which seeks to increase public understanding of Islamic cultures through media and the arts, is funded through the Doris Duke Foundation for Islamic Art and is headquartered in DDCF''s offices in New York. The Properties In her will, Doris Duke requested that several operating foundations manage the properties listed below. She also expressed her wishes that the properties be opened for public visitation and used for educational programs. The operating foundations receive funding from the Doris Duke Charitable Foundation. * The Duke Farms Foundation manages a 2,700-acre property in Hillsborough, New Jersey, which is known as Duke Farms and has a mission of environmental stewardship. * The Doris Duke Foundation for Islamic Art manages Doris Duke''s home in Honolulu, Hawaii, which is known as Shangri La and serves as a center for the study of Islamic art and cultures. * The Newport Restoration Foundation preserves historic houses in Newport, Rhode Island, and operates Doris Duke''s home in Newport known as Rough Point, which is also a public museum.
Web interface designed for thermodynamic analysis of biochemical systems. eQuilibrator enables free-text search for biochemical compounds and reactions and provides thermodynamic estimates for both in a variety of conditions. It can provide estimates for compounds in the KEGG database, and individual compounds and enzymes can be searched for by their common names (water, glucosamine, hexokinase). Reactions can be entered in a free-text format that eQuilibrator parses automatically. eQuilibrator also allows manipulation of the conditions of a reaction - pH, ionic strength, and reactant and product concentrations.
An open framework for integrative data analysis, visualization and population simulations for the exploration of network dynamics on multiple levels. This generic platform allows the integration of neuroontologies, mapping functions for brain atlas development, and connectivity data administration; all of which are required for the analysis of structurally and neurobiologically realistic simulations of networks. What makes neuroVIISAS unique is the ability to integrate neuroontologies, image stacks, mappings, visualizations, analyzes and simulations to use them for modelling and simulations. Based on the analysis of over 2020 tracing studies, atlas terminologies and registered histological stacks of images, neuroVIISAS permits the definition of neurobiologically realistic networks that are transferred to the simulation engine NEST. The analysis on a local and global level, the visualization of connectivity data and the results of simulations offer new possibilities to study structural and functional relationships of neural networks. neuroVIISAS provide answers to questions like: # How can we assemble data of tracing studies? (Metastudy) # Is it possible to integrate tracing and brainmapping data? (Data Integration) # How does the network of analyzed tracing studies looks like? (Visualization) # Which graph theoretical properties posses such a network? (Analysis) # Can we perform population simulations of a tracing study based network? (Simulation and higher level data integration) neuroVIISAS can be used to organize mapping and connectivity data of central nervous systems of any species. The rat brain project of neuroVIISAS contains 450237 ipsi- and 175654 contralateral connections. A list of evaluated tracing studies are available. PyNEST script generation does work using WINDOWS OS, however, the script must be transferred to a UNIX OS with installed NEST. The results file of the NEST simulation can be visualized and analyzed by neuroVIISAS on a WINDOWS OS.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Longitudinal studies that consist of more than 40 000 subjects that have been followed since 1986 to be used in studies on how hereditary factors influence the development and progression of Chronic Obstructive Pulmonary Disease (COPD). Its overall objective to find ??tg??rdbara determinants of especially asthma and COPD but also allergy and OSAS (obstructive sleep apnea syndrome). Research is carried out in two huvudforskningslinger; population studies among adults of asthma, allergies, COPD, chronic bronchitis and OSAS. The second main line of longitudinal studies on asthma and allergies among schoolchildren with measurement of incidence, remission and morbidity. The study followed annually all 3500 schoolchildren since 1996 when they went in first and second class in Kiruna, Lulea and Pitea. In addition to questionnaire studies contained in methods, as well as in the adult studies, mainly respiratory function, BMI, skin prick test and clinical interview. Main fragestallningen of risk factors for incident asthma and allergy.
THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016.
THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. Longitudinal Assessment of Clinical Course and BIOmarkers in severe Chronic AIRway Disease (BIOAIR) is a study within the European Network For Understanding Mechanisms Of Severe Asthma (ENFUMOSA). BIOAIR study involves studies of severe asthma. The 10% of all asthmatics who have the most difficult disease has a 5-year survival in level with severe cancer diseases, as well as account for half of the costs to society of asthma. Mechanisms for the development of severe asthma, however, is unknown. BIOAIR the project characterizes clinical Phenotype and biomarkers in a study involving 12 centers in nine European countries. In a longitudinal study comparing severe asthmatics with mild asthmatics and patients with COPD (Chronic obstructive pulmonary disease). Clinical data and medicine consumption are collected daily in over a year with the help of modern IT technology. Blood tests, urine samples, upphostningsprover and bronkialbiopsier are collected repeatedly and tested for a wide range of possible pathogenetic factors, including genotype.