Curator Dashboard

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23, 2019 Database was open, publicly accessible platform for DNA and clinical data related to human Major Histocompatibility Complex (MHC). Data from IHWG workshops were provided as well., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• dkNET
• 17 years ago - by Anonymous

CNBC is joint venture of University of Pittsburgh and Carnegie Mellon University. Our center leverages the strengths of the University of Pittsburgh in basic and clinical neuroscience and those of Carnegie Mellon in cognitive and computational neuroscience to support a coordinated cross-university research and educational program of international stature. In addition to our Ph.D. program in Neural Computation, we sponsor a graduate certificate program in cooperation with a wide variety of affiliated Ph.D. programs.

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• SciCrunch
• 17 years ago - by Anonymous

Database of predicted transcription factors in completely sequenced genomes. The predicted transcription factors all contain assignments to sequence specific DNA-binding domain families. The predictions are based on domain assignments from the SUPERFAMILY and Pfam hidden Markov model libraries. Benchmarks of the transcription factor predictions show they are accurate and have wide coverage on a genomic scale. The DBD consists of predicted transcription factor repertoires for 930 completely sequenced genomes.

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• SciCrunch
• 17 years ago - by Anonymous

CampyDB is a database for comparative genome analysis of For Campylobacter, Helicobacter and Wolinella. The database contains information on: -Campylobacter coli RM2228 -Campylobacter concisus 13826 -Campylobacter curvus 525.92 -Campylobacter fetus subsp. fetus 82-40 -Campylobacter hominis ATCC BAA-381 -Campylobacter jejuni RM1221 -Campylobacter jejuni subsp. doylei 269.97 -Campylobacter jejuni subsp. jejuni 260.94 -Campylobacter jejuni subsp. jejuni 81-176 -Campylobacter jejuni subsp. jejuni 81-176 -Campylobacter jejuni subsp. jejuni 84-25 -Campylobacter jejuni subsp. jejuni CF93-6 -Campylobacter jejuni subsp. jejuni CG8486 -Campylobacter jejuni subsp. jejuni HB93-13 -Campylobacter jejuni subsp. jejuni NCTC 11168 -Campylobacter lari RM2100 -Campylobacter upsaliensis RM3195 -Helicobacter acinonychis str. Sheeba -Helicobacter hepaticus ATCC 51449 -Helicobacter pylori 26695 -Helicobacter pylori HPAG1 -Helicobacter pylori J99 -Thiomicrospira denitrificans ATCC 33889 -Wolinella succinogenes DSM 1740 Sponsors: The project was originally conceived in 2002 by Roy Chaudhuri and Mark Pallen at the University of Birmingham, as part of a BBSRC funded Exploiting Genomics (ExGen) consortium. CampyDB is developed and maintained by Nick Loman and Lori Snyder working in the Pallen Research Group at University of Birmingham and is supported by a 5 year BBSRC grant until Feburary 2012.

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• SciCrunch
• 17 years ago - by Anonymous

A collection of Pathway/Genome Databases which describes the genome and metabolic pathways of a single organism. The BioCyc collection of Pathway/Genome Databases (PGDBs) provides an electronic reference source on the genomes and metabolic pathways of sequenced organisms. BioCyc PGDBs are generated by software that predicts the metabolic pathway complements of completely sequenced organisms from their genome sequences. They also include the results of a number of other computational inference procedures applied to these genomes, including predictions of which genes code for missing enzymes in metabolic pathways, and predicted operons. The BioCyc Web site provides a suite of software tools for database searching and visualization, for omics data analysis, and for comparative genomics and comparative pathway questions. The databases within the BioCyc collection are organized into tiers according to the amount of manual review and updating they have received. Tier 1 PGDBs have been created through intensive manual efforts, and receive continuous updating. Tier 2 PGDBs were computationally generated by the PathoLogic program, and have undergone moderate amounts of review and updating. Tier 3 PGDBs were computationally generated by the PathoLogic program, and have undergone no review and updating. There are 967 DBs in Tier 3. The downloadable version of BioCyc that includes the Pathway Tools software provides more speed and power than the BioCyc Web site.

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 23, 2019.BGMUT was database that provided publicly accessible platform for DNA sequences and curated set of blood mutation information. Data Archive are available at ftp://ftp.ncbi.nlm.nih.gov/pub/mhc/rbc/Final Archive.

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• SciCrunch
• 15 years ago - by Anonymous

Public depository that collects, annotates, archives, and disseminates important spectral and quantitative data derived from nuclear magnetic resonance spectroscopic investigations of biological macromolecules and metabolites. Provides reference information and maintains a collection of NMR pulse sequences and computer software for biomolecular NMR.

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• SciCrunch
• 17 years ago - by Anonymous

The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. HIV Proteomics Resource contains information about each HIV-1 gene product in regard to expression, post-transcriptional / post-translational modifications, localization, functional activities, and potential interactions with viral and host macromolecules. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites.

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• SciCrunch
• 17 years ago - by Anonymous

Database of protein-ligand crystal structures that is a subset of the Protein Data Bank (PDB), containing every high-quality example of ligand-protein binding. The resolved protein crystal structures with clearly identified biologically relevant ligands are annotated with experimentally determined binding data extracted from literature. A viewer is provided to examine the protein-ligand structures. Ligands have additional chemical data, allowing for cheminformatics mining. The binding-affinity data ranges 13 orders of magnitude. The issue of redundancy in the data has also been addressed. To create a nonredundant dataset, one protein from each of the 1780 protein families was chosen as a representative. Representatives were chosen by tightest binding, best resolution, etc. For the 1780 best complexes that comprise the nonredundant version of Binding MOAD, 475 (27%) have binding data. This collection of protein-ligand complexes will be useful in elucidating the biophysical patterns of molecular recognition and enzymatic regulation. The complexes with binding-affinity data will help in the development of improved scoring functions and structure-based drug discovery techniques.

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• SciCrunch
• 13 years ago - by Anonymous

Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles.

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• SciCrunch
• 13 years ago - by Anonymous

Deja vu is a database of extremely similar Medline citations. Many, but not all, of which contain instances of duplicate publication and potential plagiarism. Deja vu is a dynamic resource for the community, with manual curation ongoing continuously, and we welcome input and comments. In the scientific research community plagiarism and multiple publications of the same data are considered unacceptable practices and can result in tremendous misunderstanding and waste of time and energy. Our peers and the public have high expectations for the performance and behavior of scientists during the execution and reporting of research. With little chance for discovery and decreasing budgets, yet sustained pressure to publish, or without a clear understanding of acceptable publication practices, the unethical practices of duplicate publication and plagiarism can be enticing to some. Until now, discovery has been through serendipity alone, so these practices have largely gone unchecked.

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• SciCrunch
• 17 years ago - by Anonymous

R package for estimating differential expression from multiple indicators that capitalizes on the high number of concurrent measurements. It extends to various experimental designs and target categories (transcripts, genes, genomic regions) as well as small sample sizes.

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• SciCrunch
• 12 years ago - by Anonymous

Catalog of all changes detected in PKHD1 (Polycystic Kidney and Hepatic Disease 1) in a locus specific database. Investigators are invited to submit their novel data to this database. These data should be meaningful for clinical practice as well as of relevance for the reader interested in molecular aspects of polycystic kidney disease (PKD). There are also some links and information for ARPKD patients and their parents. Autosomal recessive polycystic kidney disease (ARPKD/PKHD1) is an important cause of renal-related and liver-related morbidity and mortality in childhood. This study reports mutation screening in 90 ARPKD patients and identifies mutations in 110 alleles making up a detection rate of 61%. Thirty-four of the detected mutations have not been reported previously. Two underlying mutations in 40 patients and one mutation in 30 cases are disclosed, and no mutation was detected on the remaining chromosomes. Mutations were found to be scattered throughout the gene without evidence of clustering at specific sites. PKHD1 mutation analysis is a powerful tool to establish the molecular cause of ARPKD in a given family. Direct identification of mutations allows an unequivocal diagnosis and accurate genetic counseling even in families displaying diagnostic challenges.

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• SciCrunch
• 17 years ago - by Anonymous

The MIPS Comprehensive Yeast Genome Database (CYGD) aims to present information on the molecular structure and functional network of the entirely sequenced, well-studied model eukaryote, the budding yeast Saccharomyces cerevisiae. In addition, the data of various projects on related yeasts are used for comparative analysis.

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• SciCrunch
• 17 years ago - by Anonymous

Links to, and descriptions of, every web site that offers AMA-approved Continuing Medical Education (CME) online. At this time, there are over 325 sites listed. These sites offer over 16,000 separate activities and over 26,000 hours of credit. Using this list, you can find online CME web sites arranged by their: # dominant medical specialty or medical topic; or # alphabetically by the first letter of the site name; or # you can scroll this list until you find a course or site of interest. Find sites by medical specialty or topic: Allergy, Anesthesia, Bioterrorism, Cardiology, Critical Care, Dermatology, Diabetes/Endocrinology, Ear, Nose and Throat, Emergency Medicine, Family Practice, Gastroenterology, Genetics, Geriatrics, Hematology / Oncology, HIV / Infectious Disease, Imaging / Radiology, Internal Medicine, Neurology, Neurosurgery, Obstetrics / Gynecology, Oncology/Hematology, Ophthalmology, Orthopedic Surgery, Pain Management, Pathology / Lab Medicine, Pediatrics, Psychiatry, Pulmonary, Quality/Management, Radiology / Imaging, Rheumatology, Surgery, Urology, Wellness / Prevention.

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• SciCrunch
• 13 years ago - by Anonymous

An interesting and exhaustive explanation of how the technology works and is applied. It is an online book on principles and practice of magnetic resonance imaging. This educational package requires a hyper text markup language (HTML) 3.0 compatible browser, such as Mozilla Firefox, Microsoft Internet Explorer, or Apple Safari. This type of browser allows the user to view frames. Three frames will be used in this package to simultaneously display text, graphics, and navigation aids. You are reading this in the text window. The graphics window is in the upper left hand corner of your screen. This window will be used to display animations, static figures, references, symbol definitions, and the glossary. The navigation window appears in the lower left corner of the screen and has one line of options. To experience the full potential of the frames, a screen capable of displaying at least 1024 by 768 pixels with 256 colors is recommended. You may be able to gain a few extra pixels in the vertical direction on your monitor by turning off the show toolbar, show location, and show directory buttons under options at the top of your browser. A computer mouse is necessary to access the contents of this package. The mouse allows you to move up and down in a frame by either moving the slider, or holding the mouse button down on the up or down arrows located at the right of the frame.

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• SciCrunch
• 17 years ago - by Anonymous

A Bioconductor package designed to perform quantitative analysis of cell proliferation in tracking dye-based experiments. The package uses an R implementation of the Levenberg-Marquardt algorithm (minpack.lm) to fit a set of peaks (corresponding to different generations of cells) over the proliferation-tracking dye distribution in a FACS experiment.

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• SciCrunch
• 12 years ago - by Anonymous

Software package as distribution of ImageJ and ImageJ2 together with Java, Java3D and plugins organized into coherent menu structure. Used to assist research in life sciences.

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• SciCrunch
• 13 years ago - by Anonymous

A service created to allow healthcare professionals to access timely, relevant information within their respective fields. Users can subscribe to receive weekly emails with bibliographic lists about new scientific publications, personal web pages for one-time download of available abstracts, and an overview of the medical literature published in relevant journals over the past 12 to 24 months.

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• SciCrunch
• 17 years ago - by Anonymous

Software for matching cell populations and building meta-clusters and templates from a collection of flow cytometry (FC) samples.

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• SciCrunch
• 12 years ago - by Anonymous