We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Software for handling and analysis of high-throughput microbiome census data.
The Chordoma Foundation is an international nonprofit organization working to improve the lives of chordoma patients by accelerating the development of effective treatments, and by helping patients to get the best care possible. Guided by a comprehensive research roadmap, the Foundation initiates and funds research, facilitates information exchange and collaboration among researchers, and provides scientific resources needed for research. Chordoma is a relentless and difficult to treat bone cancer that occurs in the head and spine in people of all ages. No drugs are approved to treat chordoma and the average survival after diagnosis is 7 years; a statistic we are determined to improve. Our Approach: * Fund results-oriented research: We proactively fund research projects identified by our Scientific Advisory Board as strategic priorities for advancing the development of new treatments for chordoma. * Provide scientific resources: We create, collect, store, and distribute the information and biological materials that researchers need in order to study chordoma and develop new treatments. * Facilitate communication and collaboration: We connect physicians, scientists and companies from across the world to share information and collaborate on projects they can only achieve together. * Guide patients to obtain quality care: We provide accurate information about treatment options and clinical trials, refer patients to experienced doctors, and match patients with trained peer-support mentors.
MIT-BIH Polysomnographic Database is a collection of recordings of multiple physiologic signals during sleep. Subjects were monitored in Boston''s Beth Israel Hospital Sleep Laboratory for evaluation of chronic obstructive sleep apnea syndrome, and to test the effects of constant positive airway pressure (CPAP), a standard therapeutic intervention that usually prevents or substantially reduces airway obstruction in these subjects. The database contains over 80 hours'' worth of four-, six-, and seven-channel polysomnographic recordings, each with an ECG signal annotated beat-by-beat, and EEG and respiration signals annotated with respect to sleep stages and apnea
Portal and searchable database of pharmacological information. Information is presented at two levels, the initial view or landing pages for each target family provide expert-curated overviews of the key properties and the available selective ligands and tool compounds. For selected targets, more detailed introductory chapters for each family are available along with curated information on the pharmacological, physiological, structural, genetic and pathophysiogical properties of each target.
JSNP is a database of Japanese Single Nucleotide Polymorphisms. It includes BLAST capability, keyword search, mapping information, and other tools that allow users to gather information on SNP's. SNPs are the most common form of DNA sequence variation. They are useful polymorphic markers to investigate genes susceptible to diseases or those related to drug responsiveness. Furthermore, a small subset of SNPs directly influences to the quality and/or quantity of the gene product, and increase a risk to certain diseases and to severe side effect by drugs. Through a discovery of a large number of SNPs, we would like to contribute to identification of disease-related genes and also to establish a diagnostic method to avoid drug side-effect.
A software developed in C++ for correcting sequencing errors in short reads from next-gen sequencing platforms.
Supports research on the causes, diagnosis, prevention, and treatment of lung diseases and sleep disorders. Research is funded through investigator-initiated and Institute-initiated grant programs and through contract programs in areas including asthma, bronchopulmonary dysplasia, chronic obstructive pulmonary disease, cystic fibrosis, respiratory neurobiology, sleep-disordered breathing, critical care and acute lung injury, developmental biology and pediatric pulmonary diseases, immunologic and fibrotic pulmonary disease, rare lung disorders, pulmonary vascular disease, and pulmonary complications of AIDS and tuberculosis. The Division is responsible for monitoring the latest research developments in the extramural scientific community as well as identifying research gaps and needs, obtaining advice from experts in the field, and implementing programs to address new opportunities. The DLD has three branches, the Airway Biology and Disease Branch, the Lung Biology and Disease Branch, and the National Center on Sleep Disorders Research.
Not yet vetted by NIF curator
HLWIKI Canada is an open, freely-accessible wiki with entries about health librarianship, social media, and current information technology topics. The intended audience is for information professionals, librarians, health professionals, social media experts.
The Node: a community site for development biologists
PhosphoNET is an open-access, online knowledgebase developed by Kinexus Bioinformatics Corporation to foster the study of cell signaling systems to advance biomedical research in academia and industry. PhosphoNET is the world''s largest repository of known and predicted information on human phosphorylation sites, their evolutionary conservation and the identities of protein kinases that may target these sites. Search by protein name, UniProt number, IPI number, or 15 AA P-site sequence. PhosphoNET presently holds data on over 650,000 known and putative phosphorylation sites (P-sites) in over 23,000 human proteins that have been collected from the scientific literature and other reputable websites. Over 14% of these phospho-sites have been experimentally validated. The rest have been predicted with a novel P-Site Predictor algorithm developed at Kinexus with academic partners at the University of British Columbia and Simon Fraser University. With the PhosphoNET Evolution module, this website also provides information about cognate proteins in over 20 other species that may share these human phospho-sites. This helps to define the most functionally important phospho-sites as these are expected to be highly conserved in nature. With the Kinase Predictor module, listings are provided for the top 50 human protein kinases that are likely to phosphorylate each of these phospho-sites using another proprietary kinase substrate prediction algorithm developed at Kinexus. Our kinase substrate predictions are based on deduced consensus phosphorylation site amino acid frequency scoring matrices that we have determined for each of ~500 different human protein kinases. The specificity matrices are generated directly from the primary amino acid sequences of the catalytic domains of these kinases, and when available, have proven to correlate strongly with substrate prediction matrices based on alignment of known substrates of these kinases. The higher the score, the better the prospect that a kinase will phosphorylate a given site. Over 30 million kinase-substrate phospho-site pairs are quantified in PhosphoNET. Kinexus Bioinformatics Corporation has the capability to test most of these putative interactions in vitro for our clients.
Bioinformatics Perl extension for the analysis of antibody variable domain repertoires.
A pipeline for assembling DNA sequence data generated on the Illumina sequencing platform.
A collection of tools and class interfaces for the assembly of DNA reads.
A Hadoop based genome assembler for assembling large genomes in the clouds.
Software providing a method that automatically determines suited overlaps cutoffs according to the contextual coverage, reducing thus the need for manual parameterization.
A software to assemble short reads of next generation sequencing technologies at low coverage.
Software for a de novo genome assembler implemented in C++.
Software application (entry from Genetic Analysis Software)
Site for collection and distribution of clinical data related to genetic analysis of drug abuse phenotypes. Anonymous data on family structure, age, sex, clinical status, and diagnosis, DNA samples and cell line cultures, and data derived from genotyping and other genetic analyses of these clinical data and biomaterials, are distributed to qualified researchers studying genetics of mental disorders and other complex diseases at recognized biomedical research facilities. Phenotypic and Genetic data will be made available to general public on release dates through distribution mechanisms specified on website.