Curator Dashboard

Database for primer and probe sequences used in real-time PCR assays employing popular chemistries (SYBR Green I, Taqman, Hybridization Probes, Molecular Beacon) to prevent time-consuming primer design and experimental optimization, and to introduce a certain level of uniformity and standardization among different laboratories. Researchers are encouraged to submit their validated primer and probe sequence, so that other users can benefit from their expertise. The database can be queried using the official gene name or symbol, Entrez or Ensembl Gene identifier, SNP identifier, or oligonucleotide sequence. Different options make it possible to restrict a query to a particular application (Gene Expression Quantification/Detection, DNA Copy Number Quantification/Detection, SNP Detection, Mutation Analysis, Fusion Gene Quantification/Detection, Chromatin immunoprecipitation (ChIP)), organism (Human, Mouse, Rat, and others) or detection chemistry.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software program for clustering biological sequences with many applications in various fields such as making non-redundant databases, finding duplicates, identifying protein families, filtering sequence errors and improving sequence assembly etc. It is very fast and can handle extremely large databases. CD-HIT helps to significantly reduce the computational and manual efforts in many sequence analysis tasks and aids in understanding the data structure and correct the bias within a dataset. The CD-HIT package has CD-HIT, CD-HIT-2D, CD-HIT-EST, CD-HIT-EST-2D, CD-HIT-454, CD-HIT-PARA, PSI-CD-HIT, CD-HIT-OTU and over a dozen scripts. * CD-HIT (CD-HIT-EST) clusters similar proteins (DNAs) into clusters that meet a user-defined similarity threshold. * CD-HIT-2D (CD-HIT-EST-2D) compares 2 datasets and identifies the sequences in db2 that are similar to db1 above a threshold. * CD-HIT-454 identifies natural and artificial duplicates from pyrosequencing reads. * CD-HIT-OTU cluster rRNA tags into OTUs The usage of other programs and scripts can be found in CD-HIT user''s guide. CD-HIT was originally developed by Dr. Weizhong Li at Dr. Adam Godzik''s Lab at the Burnham Institute (now Sanford-Burnham Medical Research Institute)., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 15 years ago - by Anonymous

Software program that performs the auto-alignment and the composition of images to create the mosaic.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 24, 2015. This package is no longer supported. The majority of the functionality for conditional haplotype tests in population-based samples has been implemented in PLINK, with a better interface and more robust, faster computation: please use that from now on. Software tool to perform haplotype-based association analysis, for quantitative and qualitative traits, in population and family samples, using single nucleotide polymorphism or multiallelic marker data. What whap can do: * Analyze quantitative and qualitative traits * Handle unrelated individuals and/or parent-offspring trio data * Perform a regression-based haplotype association test for SNP data * Perform a secondary test based on pairwise haplotype similarity * Phase genotype data using a standard E-M approach, and handle ambiguity in E-M inferred haplotypes * Include covariates and moderator variables * Flexibly constrain effects across haplotypes to tested nested models * Perform a robust within-family test when parental genotypes are present * Analyze multiallelic markers (new) * Use dominant or recessive (new) genetic models (new)

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 18, 2016. Rickettsia are obligate intracellular bacteria living in arthropods. They occasionally cause diseases in humans. To understand their pathogenicity, physiologies and evolutionary mechanisms, RicBase is sequencing different species of Rickettsia. Up to now we have determined the genome sequences of R. conorii, R. felis, R. bellii, R. africae, and R. massiliae. The RicBase aims to organize the genomic data to assist followup studies of Rickettsia. This website contains information on R. conorii and R. prowazekii. A R. conorii and R. prowazekii comparative genome map is also available. Images of genome maps, dendrogram, and sequence alignment allow users to gain a visualization of the diagrams.

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• SciCrunch
• 17 years ago - by Anonymous

Database that collects all arabidopsis transcription factors (totally 1922 Loci; 2290 Gene Models) and classifies them into 64 families. It uses not only locus (gene), but also gene model (transcript, protein) and the detail information is for each gene model not for locus. It adds multiple alignment of the DNA-binding domain of each family, Neighbor-Joining phylogenetic tree of each family, the GO annotation, homolog with the Database of Rice Transcription Factors (DRTF). It also keeps old information items such as the unique cloned and sequenced information of about 1200 transcription factors, protein domains, 3D structure information with BLAST hits against PDB, predicted Nuclear Location Signals, UniGene information, as well as links to literature reference.

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• SciCrunch
• 17 years ago - by Anonymous

Goal of Behavioral Neuroscience Program is to provide student with broad and deep knowledge of physiological and biological factors that control and affect behavior. Through close and personalized student mentor relationship we try to instill in student appreciation for programmatic problem oriented, rather than technique oriented, research. Program provides training toward the PhD for approximately 20 students at time. All students are expected to master core of theoretical and research methods, as well as to become skilled in conduct of their own research. In addition, students tailor their education to fit their own interests and professional goals through selection of appropriate elective courses and research projects.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on June 1,2023. An information extraction (IE) tool specifically designed to perform biomedical IE and which is able to locate and analyze both abstracts and full-length papers. BioRAT is a Biological Research Assistant for Text mining, and incorporates a document search ability with domain-specific IE.

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• SciCrunch
• 13 years ago - by Anonymous

Databases that accept and provide access to paleomagnetic and rock magnetic data. The paleomagnetic data range from individual measurements to specimen, sample or site level results, including a wide variety of derived parameters or associated rock magnetic measurements. The rock magnetic database includes data collected during rock magnetic experiments on remanence, anisotropy, hysteresis and susceptibility. The MagIC Console Software provides an effective environment in Microsoft Excel where users can collate and prepare their paleomagentic and rock magnetic data for uploading in the Online MagIC Database.

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• SciCrunch
• 14 years ago - by Anonymous

The Database of Protein Disorder (DisProt) is a curated database that provides information about proteins that lack fixed 3D structure in their putatively native states, either in their entirety or in part. Users can BLAST sequences, browse by protein name, or view by protein function and functional subclass.

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• SciCrunch
• 17 years ago - by Anonymous

ontology for the formal representation of cell lines and their correspnding culture conditions.

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• SciCrunch
• 13 years ago - by Anonymous

LabTrove is a blogging tool for scientific researchers. Comes with features like version control, complex metadata framework to enable effective classification of content and an extensive plug in architecture. Sponsors: Blog, Scientific, Researcher, Metadata,

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• SciCrunch
• 17 years ago - by Anonymous

The Eurofung project is a Coordination Action with the aim of developing a strategy to build up and maintain an integrated, sustainable European genomic database required for innovative genomics research of filamentous fungal model organisms of interest. This database will become a crystallization point for related systems and then could be integrated and conserved in a central European genomic database. The consortium counts 32 member laboratories, three of which have partner status. A Fungal Industrial Platform (FIP) of 13 members is also associated with the project. The project focuses on several filamentous fungi for different reasons. Aspergillus nidulans has a long record of use as a fungal model organism. Aspergillus niger, Trichoderma reesei and Penicillium chrysogenum are important cell factories used for the production of enzymes and metabolites including compounds such as Beta-lactams with benefits to human health. The human pathogen Aspergillus fumigatus serves not only as a model pathogen, but becomes more and more a serious threat to human health. The project contributes to create the conditions and facilities within Europe to widely apply all genomics technologies in filamentous fungal research. This will greatly expand our knowledge about filamentous fungi. This new genomics information will thus be beneficial to European biotechnology industries and help to improve the prevention and treatment of fungal disease. Expected results: The main results expected from this project are: - The contribution of the community to the manual annotation of important fungal genomes through annotation jamborees. - The realization of an integrated sustainable fungal genomic database through collaboration with bioinformatics centers and incorporation of the community data. - The realization of a fungal genomics knowledge base for the Eurofungbase community and the European fungal biotech industry through meetings, workshops and web-based information. - Intensified collaboration between the members of the network including the participating industries, thus strengthening the infrastructure for high quality fungal genomics research in Europe and furthermore determining joint research targets for the future. -Individualized training of a next generation of young scientists in fungal genomics and biotechnological research.

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• SciCrunch
• 16 years ago - by Anonymous

Supports oceanographic research by providing access to high quality, global, vessel-based CTD and hydrographic data from GO-SHIP, WOCE, CLIVAR and other repeat hydrography programs. These data are openly accessible and served in standardized community formats (WHP-Exchange, WOCE, and netCDF). CCHDO also manages public and non-public CTD data for use by the global Argo and OceanSITES programs.

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• SciCrunch
• 14 years ago - by Anonymous

Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in.

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 09, 2015. A repository of neurophysiology data conforming to BrainML data models and protocols: BrainML-formatted experimental data submissions are published in searchable, browsable form. Registered users may submit new experiments. The site contains spike trains, voltage time series, and some derived histograms from single cell and multi-unit activity. The database focuses on in vivo somatosensory and visual activity during task performance. This resource contains only a few datasets, but they are of high quality and have been used for reanalysis by several parties. There are three primary interfaces for querying data from this repository: a web-based browse interface, a web-based HTML query form, and a Java web start desktop application. In addition, there is an XML interface useful for direct access by software clients. To download the source code, please read and acknowledge the license agreement.

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• SciCrunch
• 16 years ago - by Anonymous

A searchable databases of diatom ESTs (expressed sequence tags) that can be used to explore diatom biology. Research has generated approximately 90,000 ESTs from P. tricornutum cells grown in a range of conditions. Here we present a database of these sequences, that can be used for digital gene expression studies to explore this organisms responses to a range of environmental conditions. Such studies should provide a foundation for interpreting the ecological success of diatoms.

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• SciCrunch
• 17 years ago - by Anonymous

Implementation of a database of ionic conductance models stored in simulator-independent NeuroML format, with a parser to convert the representation into GENESIS simulation scripts. It was developed as a means of sharing channel models between different neural simulators. It is also one of the first core components of the Modelers Workspace (MWS). At present, ChannelDB is implemented as a stand-alone module, with its own graphical user interface to the database, which is implemented with MySQL. After further development, the ChannelDB GUI will be merged into the MWS. The NeuroML development kit parser (from http://www.neuroml.org/ndk.html) is used to create Java objects from the NeuroML format XML files stored in the database. These are then accessed with Java software to create simulation scripts for the particular simulator. The first implementation of a parser to create simulation scripts is for GENESIS. The files in this package will let you * Search a small remote database of ion channel models to retrieve and view their descriptions and NeuroML representations, and generate simulator scripts from the model representation. * Set up your own database of ion channel models * Extend ChannelDB with the addition of parsers for other simulators, and with Java classes to cover other types of channels.

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• SciCrunch
• 17 years ago - by Anonymous

A web-based resource that facilitates rapid analysis of exon sequences to identify putative exonic splicing enhancers (ESEs) responsive to the human SR proteins SF2/ASF, SC35, SRp40 and SRp55, and to predict whether exonic mutations disrupt such elements.

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• SciCrunch
• 17 years ago - by Anonymous

Set of standards and practices for using XML to facilitate information exchange between user application software and neuroscience data repositories. It allows for common shared library routines to handle most of the data processing, but also supports use of structures specialized to the needs of particular neuroscience communities. This site also serves as a repository for BrainML models. (A BrainML model is an XML Schema and optional vocabulary files describing a data model for electronic representation of neuroscience data, including data types, formats, and controlled vocabulary. ) It focuses on layered definitions built over a common core in order to support community-driven extension. One such extension is provided by the new NIH-supported neuroinformatics initiative of the Society for Neuroscience, which supports the development of expert-derived terminology sets for several areas of neuroscience. Under a cooperative agreement, these term lists will be made available Open Source on this site.<BR/> The repository function of this site includes the following features:<BR/> * BrainML models are published in searchable, browsable form.<BR/> * Registered users may submit new models or new versions of existing models to accommodate data of interest. * BrainML model schema and vocabulary files are made available at fixed URLs to allow software applications to reference them.<BR/> * Users can check models and/or instance documents for correct format before submitting them using an online validation service.<BR/> To complement the BrainML modeling language, a set of protocols have been developed for BrainML document exchange between repositories and clients, for indexing of repositories, and for data query.<BR/>

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• SciCrunch
• 17 years ago - by Anonymous