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ToppGene Suite is a one-stop portal for gene list enrichment analysis and candidate gene prioritization based on functional annotations and protein interactions network. ToppGene Suite is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis.

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• SciCrunch
• 15 years ago - by Anonymous

In the annotation world, the same piece of information can be stored and viewed differently across different databases. For instance, more than one Affymetrix probe ID can refer to the same GenBank sequence (accession number) and more than one nucleotide sequence from GenBank can be grouped in a single UniGene cluster. The result of Onto-Express depends on whether the input list contains Affymetrix probe IDs, GenBank accession numbers or UniGene cluster IDs. The user has to be aware of relations between the different forms of the data in order to interpret correctly the results. Even if the user is aware of the relationships and knows how to convert them, most existing tools allow conversions of individual genes. Onto-Translate is a tool that allows the user to perform easily such translations. Affymetrix probe IDs, etc., translate GO terms into other identifiers like GenBank accession number, Uniprot IDs. User account required. Platform: Online tool

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• SciCrunch
• 15 years ago - by Anonymous

Software package that provides methods for gene set enrichment analysis of high-throughput RNA-Seq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene''s differential expression and splicing, respectively.

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• SciCrunch
• 13 years ago - by Anonymous

TRRD is a unique information resource, accumulating information on structural and functional organization of transcription regulatory regions of eukaryotic genes. Only experimentally confirmed information is included into TRRD. Transcription Regulatory Regions Database (TRRD) is developed for accumulation of experimental information on the structure-function features of regulatory regions of eukaryotic genes. Each entry of TRRD corresponds to a particular gene. The annotated part of an entry includes the structure-function description of gene regulatory regions composed by regulatory units (promoters, silencers, enhancers, etc.), individual transcription factor binding sites that constitute these regulatory units, and transcription factors that bind to these sites. In addition, the entry contains the gene expression patterns and references to original publications.

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• SciCrunch
• 17 years ago - by Anonymous

Onto-Miner (OM) provides a single and convenient interface that allows the user to interrogate our databases regarding annotations of known genes. OM will return all known information about a given list of genes. Advantages of OM include the fact it allows queries with multiple genes and allows for scripting. This is unlike GenBank which uses a single gene navigation process. Scripted search of the Onto-Tools database for gene annotations. User account required. Platform: Online tool

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• SciCrunch
• 15 years ago - by Anonymous

Software resource that extends the functionality of go-perl (on which it depends) with GO Database access functionality. go-db-perl comes bundled with various scripts and a shell command line interface that can be used as standalone tools. Installation is more involved than for go-perl; you will need a MySQL database plus the requisite DBI and DBD Perl modules. Full installation instructions are included in the download. go-db-perl is in use both to drive AmiGO and internally within Ensembl. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous

GOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous

The National Hellenic Research Foundation (NHRF) is a multidisciplinary Research Centre established by Royal Decree on 9th October 1958. Its purpose is the organisation, finance and support of high-level research projects in the humanities and the natural sciences. The Humanities Institute cover a wide spectrum of study and research fields in Greek history and culture, contributing substantially and critically to the knowledge and promotion of Greek identity. The Natural Sciences Institutes perform basic and applied research in leading edge areas of science such as health, pharmaceuticals, environment, biotechnology and new materials. They develop innovative methods for solving complex problems facing Greek industry and they provide specialised services and know-how both to the public and private sector. The NHRF is governed by the Board of Directors and the Central Administration under the Director/Chairman of the Board.

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• SciCrunch
• 15 years ago - by Anonymous

The Hepatitis C Virus Database (HCVdb) is a cooperative project of several groups with the mission of providing to the scientific community studying the hepatitis C virus a comprehensive battery of informational and analytical tools. The Viral Bioinformatics Resource Center (VBRC), the Immune Epitope Database and Analysis Resource (IEDB), the Broad Institute Microbial Sequencing Center (MSC), and the Los Alamos HCV Sequence Database (HCV-LANL) are combining forces to acquire and annotate data on Hepatitis C virus, and to develop and utilize new tools to facilitate the study of this group of organisms.

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• SciCrunch
• 15 years ago - by Anonymous

GlycomeDB is a database of all known carbohydrate structures. This was achieved by crosslinking several other databases of carbohydrate structures by using the GlycoCT XML language specification. We have analyzed all of the existing public databases and defined a sequence format based on XML (GlycoCT) capable of storing all structural information of carbohydrate sequences. We have implemented a library of parsers for the interpretation of the different encoding schemes for carbohydrates. With this library we have translated the carbohydrate sequences of all freely available databases (CFG , KEGG, GLYCOSCIENCES.de, BCSDB and Carbbank) to GlycoCT, and created a new database (GlycomeDB) containing all structures and annotations. During the process of data integration we found multiple inconsistencies in the existing databases which were corrected in collaboration with the responsible curators. With the new database, GlycomeDB, it is possible to get an overview of all carbohydrate structures in the different databases and to crosslink common structures in the different databases. Scientists are now able to search for a particular structure in the meta database and get information about the occurrence of this structure in the five carbohydrate structure databases.

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• SciCrunch
• 15 years ago - by Anonymous

A database that manages genetic and genomic information about tropical crops studied by Cirad. The database is organised into crop specific modules. Each module includes data on genetic ressources (agro-morphological data, parentages, allelic diversity), information on molecular markers, genetics maps, result of QTL analyses, data from physical mapping, sequences, genes, as well as corresponding references. GENE DB interface has been designed to allow quick consultations as well as complex queries. Nine modules are presently on line.

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• SciCrunch
• 17 years ago - by Anonymous

The Biotechnology Center (BIOTEC) of the Technische Universit��t Dresden is a unique interdisciplinary center focusing on research and teaching in molecular bio-engineering. The BIOTEC hosts top international research groups working on genomics, proteomics, biophysics, cellular machines, molecular genetics, tissue engineering, and bioinformatics. The Biotechnology Center (BIOTEC) was founded in 2000 as a central scientific unit of the Technische Universit��t Dresden. The center is an essential part of implementing the Biotechnology-Offensive of the Free State of Saxony within the TU Dresden. The main goal in establishing and developing this center was to link the revolutionary change within molecular and cell biology to Dresden''s traditionally strong background in engineering. Dresden''s aspired innovation advantages as a location for developing state-of-the-art biotechnology are already visible in some parts. The BIOTEC plays a central role in the Molecular Bioengineering and Regenerative Medicine profile of the TU Dresden, fostering developments in the new field of Biotechnology/Biomedicine. Establishing and developing a strong and internationally competitive research center molecular bioengineering required a powerful nucleus. The BIOTEC started with five professorships and one junior research group recruited within the Biotechnology-Offensive of the Free State of Saxony. Through the interdisciplinary work of these researchers from different fields and faculties, the development of the center was catalyzed, and the main goal of building an internationally competitive research structure is now well underway. Today, the BIOTEC houses six professorships and seven junior research groups. Their work has given rise not only to novel discoveries in modern life sciences, but the translation of these finding into economically useful innovations. The BIOTEC is located within the BioInnovation Center in Dresden, which has provided an atmosphere essential for its development. In accordance with its motto Science and Economy under one roof, the BioInnovation Center offers a unique opportunity for knowledge and technology transfer between the research center and start-ups working on biotechnology and related fields of cutting-edge technology. The BIOTEC has about 230 members from over 35 countries, including Eastern and Western Europe, Asia, Australia, and the Americas. These researchers have diverse backgrounds, covering biology, medicine, physics, chemistry, computer science, and engineering. The BIOTEC offers excellent lab facilities and infrastructure, as well as close links to companies residing in the same building.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. TRIPLES provides full public access to the data and reagents generated from ongoing functional analysis of the yeast genome. Using a novel transposon-tagging approach, we have analyzed disruption phenotypes, gene expression, and protein localization on a genome-wide scale in Saccharomyces. The data generated from this study may be accessed through our database, TRIPLES ; additionally, all reagents generated in this study are freely available from on-line order forms (linked to TRIPLES as well). multipurpose, mini-transposon, mutant alleles, phenotypes, protein localization, gene expression, Saccharomyces cerevisiae, Web-accessible database, transposon-mutagenized yeast strains, downloaded, tab-delimited, text file, protein localization data, fluorescent micrographs, staining patterns, indirect immunofluorescence analysis of indicated epitope-tagged proteins, subcellular localization of the yeast proteome, visual library, Nucleic Acid Sequence Data Library (GenBank), clone report, graphic map, transposon insertions (represented as flags)

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• SciCrunch
• 17 years ago - by Anonymous

The Department of Pathology at UT Southwestern Medical Center is committed to its missions in diagnostics, research, teaching, and resident and fellowship training. Our facilities include approximately 54,000 square feet of lab and office space. Our Department comprises more than 100 of the most outstanding faculty in the country and more than 50 residents and fellows. We are home to more than a dozen graduate students at any given time. The Department of Pathology offers comprehensive, in-depth training in all of the various pathology disciplines, as well as a complete array of subspecialty fellowship programs. It is our view that a strong academic environment with access to state-of-the-art and newly emerging diagnostic technologies is essential to the preparation of any pathologist for professional life in the 21st century, regardless of the ultimate practice setting. Therefore, basic training in our program is enhanced by extensive exposure to modern molecular diagnostics, advanced flow cytometric analysis, and molecular cytogenetics. The Department provides diagnostic services in a variety of clinical settings that include a large county hospital (Parkland Memorial Hospital), two private University Hospitals (Zale-Lipshy and St. Paul), a tertiary care private pediatric hospital (Children''s Medical Center), a large university outpatient clinic (Aston Clinic), and the Dallas VA Medical Center, exposing our residents, fellows, and faculty to the full spectrum of human adult and pediatric disease.

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• SciCrunch
• 15 years ago - by Anonymous

As part of its multimedia outreach, the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health -- the United States'' medical research agency -- offers audio and video podcasts and other multimedia resources that explore the exciting world of basic biomedical research.

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• SciCrunch
• 15 years ago - by Anonymous

The Roth Laboratory is designing and interpreting large-scale experiments to understand pathway structure and its relationship to phenotype and human disease. Software for research focused on a specific research goal is available. Current experimental interests: * Exploiting parallel sequencing technology to phenotype all pairwise gene deletion combinations in S. cerevisiae, with initial application to genes involved in transcription. * Generation of S. cerevisiae strains carrying dozens of chosen targeted deletions, with initial application to delete all ABC transporters imparting multidrug resistance. * Targeted insertion of gene sets encoding entire human pathways into S. cerevisiae, with initial application to genes involved in drug metabolism. Current computational interests: * Systematic analysis of genetic interaction to reveal redundant systems and order of action in genetic pathways * Integrating large-scale studies - including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns - to quantitatively assign function to genes and guide experimentation and disease association studies. * Alternative splicing and its relationship to protein interaction networks.

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• SciCrunch
• 15 years ago - by Anonymous

We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program.

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• SciCrunch
• 15 years ago - by Anonymous

Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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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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• SciCrunch
• 15 years ago - by Anonymous

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• SciCrunch
• 17 years ago - submitted by Andrea Stagg