Curator Dashboard

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.

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• SciCrunch
• 15 years ago - by Anonymous

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

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• SciCrunch
• 17 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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)

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• SciCrunch
• 15 years ago - by Anonymous

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.

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• 15 years ago - by Anonymous

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.

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• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

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

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• 15 years ago - by Anonymous

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.

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• SciCrunch
• 15 years ago - by Anonymous

In collaboration with GenomeEUtwin, the TwinGene project investigates the importance of quantitative trait loci and environmental factors for cardiovascular disease. It is well known that genetic factors are of considerable importance for some familial lipid syndromes and that Type A Behavior pattern and increased lipid levels infer increased risk for cardiovascular disease. It is furthermore known that genetic factors are of importance levels of blood lipid biomarkers. The interplay of genetic and environmental effects for these risk factors in a normal population is less well understood and virtually unknown for the elderly. In the TwinGene project twins born before 1958 are contacted to participate. Health and medication data are collected from self-reported questionnaires, and blood sampling material is mailed to the subject who then contacts a local health care center for blood sampling and a health check-up. In the simple health check-up, height, weight, circumference of waist and hip, and blood pressure are measured. Blood is sampled for DNA extraction, serum collection and clinical chemistry tests of C-reactive protein, total cholesterol, triglycerides, HDL and LDL cholesterol, apolipo��protein A1 and B, glucose and HbA1C. The TwinGene cohort contains more than 10000 of the expected final number of 16000 individuals. Molecular genetic techniques are being used to identify Quantitative Trait Loci (QTLs) for cardiovascular disease and biomarkers in the TwinGene participants. Genome-wide linkage and association studies are ongoing. DZ twins have been genome-scanned with 1000 STS markers and a subset of 300 MZ twins have been genome-scanned with Illumina 317K SNP platform. Association of positional candidate SNPs arising from these genomscans are planned. The TwinGene project is associated with the large European collaboration denoted GenomEUtwin (www.genomeutwin.org, see below) which since 2002 has aimed at gathering genetic data on twins in Europe and setting up the infrastructure needed to enable pooling of data and joint analyses. It has been the funding source for obtaining the genome scan data. Types of samples: * EDTA whole blood * DNA * Serum Number of sample donors: 12 044 (sample collection completed)

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• SciCrunch
• 15 years ago - by Anonymous

Voronoia is a program suite to analyse and visualize the atomic packing of protein structures. It is based on the Voronoi Cell method and can be used to estimate the quality of a protein structure, e.g. by comparing the packing density of buried atoms to a reference data set or by highlighting protein regions with large packing defects. Voronoia is also targeted to detect locations of putative internal water or binding sites for ligands. Accordingly, Voronoia is beneficial for a broad range of protein structure approaches. It is applicable as a standalone version coming with a user friendly GUI or, alternatively, as a Pymol Plugin. Finally, Voronoia is also available as an easy to use webtool to process user defined PDB-files or to asses precalculated packing files from DOPP, the regularly updated Dictionary of Packing in Proteins.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented September 2, 2016. The Swedish twin registry has recently examined all twins in Sweden born between 1959-1985. 25,000 individuals participated in the study. The twins had to implement a Web-based survey on the Internet or a telephone interview where we had to answer questions about, among other things, about the diseases they have, or have had, behaviors, eating and drinking habits, smoking habits, etc. The aim of the study is to extend the information in the Swedish twin registry. Our goal with twin studies are, inter alia, to study the relative importance of the heritage and environment for the emergence of various diseases. The responses from the study is currently the basis for a number of analyses regarding how inheritance and environment affects disease and tobacco habits. Currently third follow-up STAGE where 10,000 twins that had previously taken part are contacted again. The purpose of alteplase randomized controlled trials is to follow up the same individuals one year after the first and second questionnaire replies were received to see if anything has changed. The issues we are interested in the follow-up to include changes in general health, working and living situation, your weight, smoking habits, etc. Study Results The results we have so far come to and which we can present here are figures on the prevalence of certain diseases. The figures give a rough estimate of the incidence of these diseases will look for all individuals, born in Sweden in 1959-1985. The figures are based on the questions on the questionnaire which the twins themselves had to answer whether they have or have had various diseases.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. The SALTY study will contact approximately 25 000 twins born 1943 - 1958. One of the main purposes with the study is to continue to build up the Swedish Twin Biobank which was established by the Twin Gene project.

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• SciCrunch
• 15 years ago - by Anonymous

The Graduate Program at the University of Michigan was constituted in 1971, making it the longest-standing neuroscience graduate program in the United States. We are a collegial and interactive group of 75 students and 115 faculty that perform research across the breadth of the neuroscience field. Neuroscience graduate students on this campus form a cohesive group, which promotes interactions among the faculty, making the Graduate Program the nexus of the neuroscience community. Graduates receive a Ph.D. in Neuroscience, which provides tremendous flexibility in choosing one&apos;s career path. There are more than 100 alumni of our Program, and these graduates work in academic research, industrial research and development, academic medicine and biotechnology. Our program captures the excitement and interaction intrinsic to the field of neuroscience. Students can seek admission to the Neuroscience Program by three different routes direct application to the Neuroscience Program, application via the Program in Biomedical Sciences and application via the Medical Scientist Training Program.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE,documented on January,18, 2022. FaceBase Biorepository is now collecting biological samples from people with cleft lip/palate and their family members. Information for Prospective Cases: Clefts of the lip and/or palate can be caused by a wide range of genetic, environmental and other factors. The FaceBase Biorepository will serve as a common source of both biological samples and information that can be made available to investigators trying to determine the underlying cause of these common birth defects. Genetic studies, in particular, will benefit from both family history information and having samples from affected individuals as well as their family members. DNA is the information containing molecules found in all the cells of our body and can be easily obtained from material such as blood or saliva samples. As part of the FaceBase Biorepository, we are requesting families to submit biological samples from specific family members as well as information from other family members that might be affected with either the same condition or a similar condition. The medical and family history information that is collected includes other relevant information such as exposure to possible environmental causes during pregnancy. The biorepository is managed by Nichole Nidey, a research study coordinator, and Jeff Murray, a pediatric clinical geneticist and researcher. They are available to speak with family members regarding questions they may have, including providing information about the biorepository and making arrangements for the collection of samples for those who wish to participate. All participation is voluntary. Your name or other personally identifiable information (name, address, etc) will be removed before information is placed in the biorepository. Summary data to show how the database itself has been used overall as well as updates on whether specific findings might have been made using this database will be available on the FaceBase website at www.facebase.org. A newsletter containing this information will also be given to families and referring clinicians so that they may discuss the specifics with the families if there appears to be information that might be relevant in a particular case. Families will also need to sign a consent form that has been approved by the Institutional Review Board at the University of Iowa. Also, any submitted samples or data can also be removed from the database at any time should the family no longer wish to participate. Investigators interested in requesting DNA samples or for more information, please contact cleftresearch (at) uiowa.edu, Nichole Nidey, nichole-nidey (at) uiowa.edu or (319) 353-4365, or Jeff Murray, jeff-murray (at) uiowa.edu.

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• 15 years ago - by Anonymous

Software for quality control and diagnosis for microarray meta-analysis. Quantitative quality control measures include: (1) internal homogeneity of co-expression structure among studies (internal quality control; IQC); (2) external consistency of co-expression structure correlating with pathway database (external quality control; EQC); (3) accuracy of differentially expressed gene detection (accuracy quality control; AQCg) or pathway identification (AQCp); (4) consistency of differential expression ranking in genes (consistency quality control; CQCg) or pathways (CQCp). For each quality control index, the p-values from statistical hypothesis testing are minus log transformed and PCA biplots were applied to assist visualization and decision. Results generate systematic suggestions to exclude problematic studies in microarray meta-analysis and potentially can be extended to GWAS or other types of genomic meta-analysis. The identified problematic studies can be scrutinized to identify technical and biological causes (e.g. sample size, platform, tissue collection, preprocessing etc) of their bad quality or irreproducibility for final inclusion / exclusion decision.