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Authoring tool to create, share, and collaborate on the web with documents, spreadsheets, presentations, and more in real time. All your changes are saved automatically in Drive.

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• SciCrunch
• 15 years ago - by Anonymous

The Janus Serum Bank has blood samles from 317 000 Norwegians. The biobank is reserved for cancer research, and is internationally unique regarding size and number of cancer cases. The Janus Serum Bank is a population based biobank reserved for cancer research. The specimens are collected during the period from 1972-2004 and are stored at 25 degrees Celsius. The samples originate from 317 000 persons in Norway who have participated in health studies and also from blood donors in and around Oslo. Today, samples are only collected from earlier donors in the Janus Serum Bank who have developed cancer. The Bank is internationally unique regarding size and number of cancer cases. Annual linkage to the Cancer Registry shows that 52 500 donors are diagnosed with cancer as of December 31, 2009. The main goals of the biobank are to make the material available to cancer researchers over the whole world and deliver quality assured samples and data. The Janus Serum Bank is registered in the Biobank Register (Notification number 737)

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• SciCrunch
• 15 years ago - by Anonymous

This file describes a selection of the behavioral paradigms that have been useful in behaviorally phenotyping mouse mutants.

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• SciCrunch
• 12 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. An integrated resource hosting combined EST data from Oomycetes. It also separates Soybean ESTs from compatible P.sojae infection libraries. Public soybean unigenes and publicly available soybean infection libraries are also part of this database. Currently in this database we have placed 10 libraries from P.sojae(sHA,sHB,sMA,sML,sMY,sMC,sZG,sZO,sZS,iMY) having 33350 raw sequences. Additionally, there are 99,320 EST sequences from P.infestans from NCBI. For P.infestans sequences cleaning information is not available. These sequences are clustered and assembled and data analysis was performed by us. We have separated Soybean ESTs from P.sojae libraries using insillico methods. The soybean libraries are named as gHA and gHB based on their origin from sHA or sHB. All publicly available soybean unigenes(37,465) are added to this database. For public soybean sequences we did not perform any cleaning or assembly. The unigenes were annotated prior to storing. Recently, we added 37492 ESTs from Hyaloperonospora parasitica. All the ESTs are clustered into unigenes and annotated using blastx to nr database, interproscan, TMHMM and SignalP. Annotations are updated every 3 months.

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• SciCrunch
• 17 years ago - by Anonymous

Public land-grant research university in Reno, Nevada.

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• SciCrunch
• 17 years ago - submitted by Davis

The Finnish Cancer Registry maintains a nation-wide database on all cancer cases in Finland going back to 1953. It is also an internationally active institute for statistical and epidemiological cancer research. The Mass Screening Registry is a department of the Finnish Cancer Registry, and is responsible of planning and evaluating national cancer screening programs in Finland. The site contains information on cancer research and up to date statistics on the prevalence of different types of cancer in Finland, the Nordic countries and on a global level. The web pages include information for participants in cancer screening and for professionals involved in organizing such screening.

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• SciCrunch
• 15 years ago - by Anonymous

It consists of a Genome Browser, an LD Search System, and the VaryGene 2 system. The Generic Genome Browser is a combination of database and interactive Web page for manipulating and displaying annotations on genomes, while LDSearchSystem is a search system for linkage disequilibrium (LD) bins. VaryGene 2 is a system to search, display, and download our research results on human polymorphism based on publicly available data and annotations of transcripts presented by H-InvDB. VaryGene 2 provides information about single nucleotide polymorphisms (SNPs), deletion-insertion polymorphisms (DIPs), short tandem repeats (STRs), single amino acid repeats (SARs), structural variation (or copy number variations: CNVs), and their relations to the genome, transcripts, and functional domains. Users can search by polymorphisms, transcripts, STRs/SARs, and CNVs.

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• SciCrunch
• 17 years ago - by Anonymous

The 16 affiliated Model System centers throughout the United States are responsible for gathering and submitting the core data set to the national database as well as conducting research studies on traumatic brain injury (TBI) both in collaboration with the other centers and within our own site. Through our research we hope to learn more about TBI and about the issues and concerns of people with TBI. Our goals are to improve the outcome and quality of life for people who have had brain injuries and for those who are caring for the person with a TBI. The North Texas Traumatic Brain Injury Model System (NT-TBIMS) pools the efforts and talents of individuals from the Departments of Neurosurgery, Neurology, Physical Medicine and Rehabilitation, Psychiatry (Neuropsychiatry), and Neuroradiology of the two leading medical institutions in the North Texas region. To be a patient involved in the research being conducted by the North Texas Traumatic Brain Injury Model System you must have suffered a TBI, be at least 16 years of age, have received initial treatment for the TBI at either Parkland Health and Hospital System or Baylor University Medical Center and then have received rehabilitative care at either Parkland, University Hospital Zale-Lipshy, or Baylor Institute for Rehabilitation. The patient must also be able to understand and sign an informed consent to participate or, if unable, have a family member or a legal guardian who understands the form sign the informed consent for the patient.

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• SciCrunch
• 15 years ago - by Anonymous

This database is intended as a comprehensive resource for UTR (Untranslated Region) biology in C. elegans. The database provides detailed information on UTR structures for all protein-coding mRNAs, and includes annotations extracted from other databases (such as WormBase and PicTar) as well as new annotations generated as part of the NYU UTRome project (including preliminary characterization of UTR clones, USTs (UTR sequence tags), curated sequences, and computational and experimental analysis of functional elements). Examples of functional elements within UTRs include predicted and validated microRNA (miRNA) binding sites (responsible for post-transcriptional gene regulation), putative consensus signals for polyA addition, and predicted secondary structures (which may influence the biological activity of UTRs). The UTRome project is part of the ModEncode Consortium, an NIH initiative to characterize at a genomic scale functional sequence elements encoded in the worm (C. elegans) and fly (D. melanogaster) genomes. UTRs are important portions of mRNAs required for post-transcriptional regulation by interacting with proteins or non-coding RNAs (e.g. microRNAs). To study the role of UTRs we are building a UTR database for C. elegans.

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• SciCrunch
• 17 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

Archive of data relevant to gerontological and aging research. Used to advance research on aging. Subjects include demographic, social, economic, and psychological characteristics of older adults, physical health and functioning of older adults, and health care needs of older adults. NACDA staff represents team of professional researchers, archivists and technicians who work together to obtain, process, distribute, and promote data relevant to aging research.

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• SciCrunch
• 15 years ago - by Anonymous

French-speaking university based in Neuchâtel, Switzerland. The university has four faculties and more than a dozen institutes, including arts and human sciences, natural sciences, law and economics.

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• SciCrunch
• 14 years ago - submitted by Andrea Stagg

Database of crystal structures of organic, inorganic, metal-organic compounds and minerals, excluding biopolymers. It currently contains ~291204 entries (July 2014) in crystallographic information file format, with nearly full coverage of the International Union of Crystallography publications, and is growing in size and quality. Deposit your data: An interface allows you to upload, validate and edit CIF files before submitting them for deposition.

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• SciCrunch
• 14 years ago - by Anonymous

The Terry Fox Foundation is responsible for supporting close to $20 million in discovery based research each year in Canada - all monies raised outside Canada must be distributed to (a) an institute approved by the Foundation and its advisors or (b) remitted to Canada. The Terry Fox Research Institute (TFRI) is a recipient of TFF funding for translational research. TFRI is an exciting new initiative whose goal is to translate rapidly today''s best science into better cancer treatment and diagnosis for all Canadians. The Institute will bring scientists and clinicians together across the country into a functionally integrated, geographically dispersed Institute with nodes in several provinces. Terry Fox was diagnosed with osteogenic sarcoma (bone cancer) in his right leg in 1977 and had his leg amputated 15 cm (six inches) above the knee. While in hospital, Terry was so overcome by the suffering of other cancer patients that he decided to run across Canada to raise money for cancer research. He called his journey the Marathon of Hope. Terry''s Marathon of Hope took place in 1980 with the simple objective of informing Canadians of the importance of finding a cure for cancer. With fierce determination, he ran an average of 42 kilometres (26 miles) every day for 143 days. Terry was forced to end his run on September 1, 1980 when the cancer spread to his lungs. By February 1, 1981, Terry''s dream of raising $1 for every Canadian was realized - the Terry Fox Marathon of Hope fund totaled $24.17 million. Terry died in June 1981. On May 26, 1988, The Terry Fox Run became a Trust, independent from the Canadian Cancer Society, and received tax-exempt charitable registration as a public foundation. In addition to our signature and long-standing National Terry Fox Run Day in September of each year, The Terry Fox Foundation is proud to include in its events portfolio The National School Run Day. The Foundation recognizes the duality of its mandate. Not only does it raise money for research, but it also continues to share the story of Terry Fox. The Terry Fox Foundation strives to maintain the heroic effort and integrity that Terry embodied. It is a grassroots organization that does not allow the Terry Fox name or likeness to be commercialized or conjoined with other worthy causes. To date, over $600 million has been raised worldwide for cancer research in Terry''s name.

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• SciCrunch
• 15 years ago - by Anonymous

The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated.

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• SciCrunch
• 15 years ago - by Anonymous

An Antibody supplier

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• SciCrunch
• 14 years ago - by Anonymous

ccPDB (Compilation and Creation of datasets from PDB) is designed to provide service to scientific community working in the field of function or structure annoation of proteins. This database of datasets is based on Protein Data Bank (PDB), where all datasets were derived from PDB. ccPDB have four modules; i) compilation of datasets, ii) creation of datasets, iii) web services and iv) Important links. * Compilation of Datasets: Datasets at ccPDB can be classified in two categories, i) datasets collected from literature and ii) datasets compiled from PDB. We are in process of collecting PDB datasetsfrom literature and maintaining at ccPDB. We are also requesting community to suggest datasets. In addition, we generate datasets from PDB, these datasets were generated using commonly used standard protocols like non-redundant chains, structures solved at high resolution. * Creation of datasets: This module developed for creating customized datasets where user can create a dataset using his/her conditions from PDB. This module will be useful for those users who wish to create a new dataset as per ones requirement. This module have six steps, which are described in help page. * Web Services: We integrated following web services in ccPDB; i) Analyze of PDB ID service allows user to submit their PDB on around 40 servers from single point, ii) BLAST search allows user to perform BLAST search of their protein against PDB, iii) Structural information service is designed for annotating a protein structure from PDB ID, iv) Search in PDB facilitate user in searching structures in PDB, v)Generate patterns service facility to generate different types of patterns required for machine learning techniques and vi) Download useful information allows user to download various types of information for a given set of proteins (PDB IDs). * Important Links: One of major objectives of this web site is to provide links to web servers related to functional annotation of proteins. In first phase we have collected and compiled these links in different categories. In future attempt will be made to collect as many links as possible.

• Resource
• SciCrunch
• 15 years ago - by Anonymous

TrED is a database of Trichophyton rubrum, a fungus. The database contains strains, cDNA libraries, pathways, and microarray data as well as a directed set of literature. Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It''''s a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data including expressed sequence tags (ESTs) and transcriptional profiles of this important fungal pathogen are now available. Careful analysis of these data can give valuable information about potential virulence factors, antigens and novel metabolic pathways. We intend to create an integrated database TrED to facilitate the study of dermatophytes, and enhance the development of effective diagnostic and treatment strategies. All publicly available ESTs and expression profiles of T. rubrum during conidial germination in time-course experiments and challenged with antifungal agents are deposited in the database. In addition, comparative genomics hybridization results of 22 dermatophytic fungi strains from three genera, Trichophyton, Microsporum and Epidermophyton, are also included. ESTs are clustered and assembled to elongate the sequence length and abate redundancy. TrED provides functional analysis based on GenBank, Pfam, and KOG databases, along with KEGG pathway and GO vocabulary. It is integrated with a suite of custom web-based tools that facilitate querying and retrieving various EST properties, visualization and comparison of transcriptional profiles, and sequence-similarity searching by BLAST. TrED is built upon a relational database, with a web interface offering analytic functions, to provide integrated access to various expression data of T. rubrum and comparative results of dermatophytes. It is devoted to be a comprehensive resource and platform to assist functional genomic studies in dermatophytes.

• Resource
• SciCrunch
• 15 years ago - by Anonymous

UTRdb/UTRsite is a portal to other databases, including Nucleotide Sequence Databases, Protein Sequence Databases, other Sequence databanks, Untranslated Nucleotide Sequence Databases, Mitochondrial Databases, Mutation Databases, and others. The site also allows users to start long-term permanent projects or just to do quick searches, depending on the user''s needs.

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• SciCrunch
• 17 years ago - by Anonymous

A pattern growth algorithm based pileline for splice site detection in paired-end RNA-Seq data.

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• SciCrunch
• 13 years ago - by Anonymous