Curator Dashboard

This website is designed for the Caulobacter cell cycle control model''s latest paper: Temporal Controls of the Asymmetric Cell Division Cycle in Caulobacter crescentus. Sponsors:This resource is supported by the OTKA (F 60414), the European Commission (COMBIO: LSHG-CT-2004-503568), and the OTKA (T043770). Keywords; Cell, Cell cycle, Modeling, Caulobacter, Asymmetry, Temporal,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. Data services to support validation of economically relevant traits for the livestock industries. Sponsors: This resource is supported by Pfizer Animal Health. Keywords: Animal, Genetics, Health, World, Genetic, Information, Service, Industry, Livestock, DNA, Maker, Technology, Phenotypic, Productivity,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A software package for analyzing gene expression and other bioarray data, giving users a variety of methods to build and evaluate class predictors, visualize marker lists, cluster data and validate results. GeneCluster 2.0 greatly expands the data analysis capabilities of GeneCluster 1.0 by adding supervised classification, gene selection, class discovery and permutation test methods. It includes algorithms for building and testing supervised models using weighted voting (WV) and k-nearest neighbor (KNN) algorithms, a module for systematically finding and evaluating clustering via self-organizing maps, and modules for marker gene selection and heat map visualization that allow users to view and sort samples and genes by many criteria. It enhances the clustering capabilities of GeneCluster 1.0 by adding a module for batch SOM clustering, and also includes a marker gene finder based on a KNN analysis and a visualization module. GeneCluster 2.0 is a stand-alone Java application and runs on any platform that supports the Java Runtime Environment version 1.3.1 or greater.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

The project began as a pilot study to identify inherited genetic susceptibility to prostate and breast cancer. CGEMS has developed into a robust research program involving genome-wide association studies (GWASs) for a number of cancers to identify common genetic variants that affect a person''s risk of developing cancer. In collaboration with extramural scientists, NCI''s Division of Cancer Epidemiology and Genetics (DCEG) has carried out genome-wide scans for breast, prostate, pancreatic, and lung cancers, while a GWAS of bladder cancer is currently underway. By making the data available to both intramural and extramural research scientists, as well as those in the private sector through rapid posting, NIH can leverage its resources to ensure that the dramatic advances in genomics are incorporated into rigorous population-based studies. Ultimately, findings from these studies may yield new preventive, diagnostic, and therapeutic interventions for cancer. Sponsors: This resource is supported by the U.S. National Institues Of Health.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

Program DynaFit Analysis of (bio)chemical kinetics and equilibria Welcome to the DynaFit home page. Purpose Symbolic Notation Bibliographic Reference Numerical Methods Minimum System Requirements Purpose The main purpose of the program DynaFit is to perform nonlinear least-squares regression of chemical kinetic, enzyme kinetic, or ligand-receptor binding data. The experimental data can be either initial reaction velocities in dependence on the concentration of varied species (e.g., inhibitor concentration vs. velocity), or the reaction progress curves (e.g., time vs. absorbance). Symbolic Notation The main advantage in using the program DynaFit is in the ability to characterize the (bio)chemical reacting system in terms of symbolic, or stoichiometric, equations. For example, the ``slow, tight'''' inhibition of a dissociative dimeric enzyme is described by the following text: Monomer Monomer <==> Enzyme : k1 k2 Enzyme Inhibitor <==> Complex : k3 k4 Enzyme Substrate <==> ReactiveX : k5 k6 ReactiveX --> Product Enzyme : k7 k8 The names of chemical species (Monomer, Enzyme, etc.) are entirely arbitrary and can be freely chosen by the investigator. Bibliographic Reference If you publish any results obtained by using DYNAFIT, plase cite the following reference: Kuzmic, P. (1996) Anal. Biochem. 237, 260-273. Program DYNAFIT for the Analysis of Enzyme Kinetic Data: Application to HIV Proteinase ABSTRACT A computer program with the code name DYNAFIT was developed for fitting either the initial velocities, or the time-course of enzyme reactions, to an arbitrary molecular mechanism represented symbolically by a set of chemical equations. Seven numerical tests and five graphical tests are applied to judge the goodness of fit. Experimental data on the inhibition of the dissociative dimeric proteinase from HIV were used in four test examples. A set of initial velocities was analyzed to see if a tight-binding inhibitor could bind to the HIV proteinase monomer. Three different sets of progress curves were analyzed (i) to determine the kinetic properties of an irreversible inhibitor; (ii) to investigate the dissociation and denaturation mechanism for the protease dimer; and (iii) to investigate the inhibition mechanism for a transient inhibitor. See a MEDLINE abstract with related references concerning the kinetics of HIV-1 protease. Numerical Methods The nonlinear regression module uses the Levenberg-Marquardt algorithm [1]. The time-course of (bio)chemical reactions is computed by the numerical integration of simultaous first-order ordinary differential equations, using the Livermore Solver of ODe Systems (LSODE, [2]). The composition of complex mixtures at equilibrium (e.g., in the concentration jump experiment where a complex mixture is incubated prior to the addition of a reagent) is computed by solving simultaneous nonlinear algebraic equations, namely, the mass balance equations for the component species, by using the multidimensional Newton-Raphson method [3]. References G. A. F. Seber and C. J. Wild (1989) Nonlinear Regression, Wiley, New York, p. 624. A. C. Hindmarsh (1983) ODEPACK: a systematized collection of ODE solvers; in Scientific Computing, ed. R. S. Stepleman et al., North Holland, Amsterdam, pp. 55--64. E. Kreyszig (1993) Advanced Engineering Mathematics; 7th ed., John Wiley, New York, p. 929. Minimum System Requirements DynaFit for Windows Intel Pentium III or Celeron class 800 MHz or faster processor Microsoft Windows XP (SP1) or 2000 (SP2) 128 MB RAM 20 MB Hard Disk Space Ethernet Network Interface Card required for license activation(1) CD/DVD-ROM drive required for software installation(2) (1) The Network Interface Card is used to compute a unique Computer ID, tied to a particular DynaFit license. Essentially the Computer ID required for license activation is an encrypted Media Access Control (MAC address) associated with the given Network Card. (2) CD/DVD-ROM is not required if the software is being installed by using the downloadable installer file dynafit-install.zip. Sponsor. This work has been supported by the NIH, grant No. R43 AI52587-02 and the U.S. Department of Defense, U.S. Army Medical Research and Materials Command, Ft. Detrick, MD, administered by the Pacific Telehealth & Technology Hui, Honolulu, HI, contract No. V549P-6073.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

This database contains nearly 300 sequences known to bind calmodulin, published as of March 2003. Calmodulin is an intracellular calcium receptor found ubiquitously in eukaryotes. It is capable of regulating biological activities of many cellular proteins and transmembrane ion transporters mainly in a Ca2 -dependent manner. When the intracellular calcium level rises to 10-5 M, four Ca2 ions bind to calmodulin, and this Ca2 -calmodulin complex binds the target proteins, initiating various signalling cascades. Calmodulin has four EF-hand motifs that change conformation upon binding calcium ions. Each EF-hand motif contains two alpha helices connected by a 12-residue loop. The calcium ion binds to the loop region and changes the relative positions of the alpha helices (Yap et al, 1999). In absence of calcium, the alpha-helices in the EF-hand motif of calmodulin are positioned almost parallel to each other. This is known as the closed conformation. Sponsors: This resource is supported by the Ikura Lab, Ontario Cancer Institute. Keywords: Database, Sequence, Calmodulin, Intracellular, Calcium Receptor, Eukaryote, Transmembrane, Protein, Biological, Cellular, Target, Motif, Helix, Signaling,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Cytokines are a diverse group of cell intercellular messengers responsible for signaling variety of cell functions, such as immunity, hematopoiesis, chemotactic activities, cell maturation, proliferation, growth and differentiation through their interactions with respective receptors on cell membranes. Currently, a number of cytokines have been identified and classified

• Resource
• SciCrunch
• 17 years ago - by Anonymous

A commercial antibody company.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

COILS is a program that compares a sequence to a database of known parallel two-stranded coiled-coils and derives a similarity score. By comparing this score to the distribution of scores in globular and coiled-coil proteins, the program then calculates the probability that the sequence will adopt a coiled-coil conformation.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

This database is a public resource for inference of large phylogenetic trees. It is designed to provide all researchers with access to large computational resources of the NSF TeraGrid through a simple browser interface. The CIPRES Science Gateway provides new hybrid parallel versions of RAxML (7.2.7) and MrBayes (3.1.2), as well as parallel GARLI (1.0) code to insure the fastest possible run times for submitted jobs. Through a collaboration with Alexandros Stamatakis and Wayne Pfeiffer, they now offer the fastest hybrid versions of RAxML and MrBayes currently available. Sponsors: The CIPRES project is a multi-site collaboration funded by the NSF Information Technology Research (ITR) program grant entitled BUILDING THE TREE OF LIFE: A National Resource for Phyloinformatics and Computational Phylogenetics.

• Resource
• SciCrunch
• 14 years ago - by Anonymous

With remarkable advances in genomic technologies, the National Cancer Institute established the Core Genotyping Facility (CGF) to investigate the contribution of germline genetic variation to cancer susceptibility and outcomes. Working in concert with epidemiologists, biostatisticians and basic research scientists in the intramural research program, the CGF has developed the capacity to conduct genome-wide association studies and candidate gene approaches to identify the heritable determinants of various forms of cancer. In order to ensure the accuracy and timely completion of all CGF provided operations, the following Information Systems were developed. While the investigator does not have direct access to these systems, their availability to CGF staff members greatly aids in their querying and reporting capabilities. In turn this provides benefit to the investigator by providing the most up to date reporting possible. The Core Genotyping Facility (CGF) offers a wide variety of sample preparation and genotyping operations. All samples received must meet minimum requirements and are taken through the Sample Handling pipeline prior to completing any genotyping. The Sample Handling pipeline includes DNA quantification and genetic fingerprinting. Also offered are Whole Genome Amplification (WGA) assays, to get the most yield out of low quantity DNA samples. Theirr genotyping products cover a wide-range of assay sizes. The CGF operates the Illumina BeadLab system which supports Illumina assay technologies including the whole genome genotyping Infinium assays, custom GoldenGate OPA assays, and Custom Infinium (iSelect) assays. In addition, the CGF offers Affymetrix GeneChip arrays and uniplex TaqMan genotyping. Sponsors: CGF is supported by the SAIC-Frederick. :Keywords: Genomic, Technology, Cancer, Genotyping, Germline, Genetic, Epidemiologist, Biostatistician, Research, Gene, Assay, Genotype, Pipeline, Genome, DNA, :

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Whether you are a senior executive looking for an industry overview, an experienced manager searching for the latest trends, or a new contingency planner in need of the basics, you will find the GUIDE to be the most comprehensive source for crisis/emergency management and business continuity information. The online DISASTER RESOURCE GUIDE is set up to help you find information, vendors, organizations and many resources to help you prepare for (mitigate) or recover from any type of natural or other type of disaster. The GUIDE is to help you keep your business running, your government agency operational, no matter what!

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software program that prepares pedigree data for calculation of Elston-Stewarts'' likelihood function. It finds an optimal way to peel a pedigree and returns text file containing 7 description arrays (entry from Genetic Analysis Software)

• Resource
• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. The UCSD CFAR/VMRF Molecular Biology Core (MBC) is a service core designed to facilitate and support HIV/AIDS research at the University of California San Diego (UCSD), the VA San Diego Healthcare System (VASDHCS), the Veterans Medical Research Foundation (VMRF), the UCSD Antiviral Research Center (AVRC), the Scripps Research Institute, and others in the San Diego HIV/AIDS research community. The MBC provides a variety of services, including DNA sequencing, viral DNA and RNA quantification, cDNA microarray analysis of herpesvirus expression, lentiviral vectors, RNAi design and synthesis, custom vector and plasmid design and construction, plasmids and other reagents of interest to HIV/AIDS research, shared access to computational biology software, and a variety of other services. The core is operated in association with the VMRF, the UCSD AIDS Research Institute (ARI), the VASDHCS, and the VA Research Center for AIDS and HIV Infection (RACHI). The VMRF/CFAR MBC is open to all UCSD, VA, and VMRF investigators as well as those from outside institutions. Keywords: Biology, Research, Medical, Molecular, DNA, Sequencing, Healthcare, RNA, DNA, cDNA, Microarray, Analysis, Herpesvirus, Expression, Lentiviral,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

The main goal of CASP is to obtain an in-depth and objective assessment of our current abilities and inabilities in the area of protein structure prediction. To this end, participants will predict as much as possible about a set of soon to be known structures. These will be true predictions, not ''post-dictions'' made on already known structures. Sponsors: This resource is supported by the US National Library of Medicine (NIH/NLM), National Institute of General Medical Sciences (NIH/NIGMS), BioSapiens Network of Excellence, and HP Invent. Keywords: Clinical, Technique, Protein, Prediction, Structure,

• Resource
• SciCrunch
• 14 years ago - by Anonymous

A commercial software provider designed for legal, risk management, corporate, government, law enforcement, accounting, and academic markets. Sponsors: This resource is Reed Elsevier, Inc. Keywords: Workflow, Professional, Legal, Risk, Management, Corporate, Government, Law, Enforcement, Accounting, Academic, Technology, Information,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

When the BRCA1 gene was cloned, a Steering Committee was initiated to help coordinate the formation of a Breast Cancer Information Core (BIC) that could act as such a central repository. NHGRI has chosen as the most accessible format for the BIC this World Wide Web site. The recent identification of mutations in breast cancer susceptibility genes has provided the exciting opportunity to help identify women who are at high risk to develop breast cancer. One of the serious impediments to achieving clinical benefits from this information however, is finding and assessing the significance of mutations in these new susceptibility genes. It is imperative that the detection and interpretation of these mutations is coordinated and that this information is made available to as many qualified investigators as possible. There are many sites on the web that contain general as well as scientific information relevant to breast cancer. A partial list of these can be found here. Having participated in the poorly coordinated analysis of other cancer susceptibility genes, we consider it important to create and maintain a central repository for information regarding mutations and polymorphisms. NHGRI also think it critical to make available the reagents necessary to carry out many different techniques for the detection of such mutations. Sponsors: This resource is supported by the National Human Genome Research Institute (NHGRI). Keywords: Breast, Cancer, Mutation, Clincial, Polymorphism, Gene, Scientific,

• Resource
• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. This portal let you search BLAST through the WU-BLAST2 Search Service provided by the Bork Group at EMBL. Sponsors: This resource is supported by EMBL., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Database for exchange and exploration of biological images. Used to store, visualize, organize and analyze images in cloud. Centered around database of images and metadata.

• Resource
• SciCrunch
• 17 years ago - by Anonymous

Software application that allows pedigree entry and retrieval from an internet browser into a distant MS ACCESS database. Includes IP access restriction, automatic numbering of families and individuals and database consistency checks. (entry from Genetic Analysis Software)

• Resource
• SciCrunch
• 14 years ago - by Anonymous