We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Omics database for spaceflight experiments. Interactive, open access resource where scientists can upload, download, store, search, share, transfer, and analyze omics data from spaceflight and corresponding analogue experiments. Enables exploration of molecular network responses of terrestrial biology to space environment. Contains curated omics data, metadata and radiation dosimetry for model organisms. Supports standard guidelines for submission of datasets, MIAME for microarray, ENCODE Consortium Guidelines for RNA-seq and MIAPE Guidelines for proteomics.
Ontology that assigns a grade to a tumor starting from the 3 criteria of the NGS
Iowa State University (ISU) is an undergraduate, graduate and research institute. ISU has 100 majors and upwards of 800 student organizations.
A discovery interface of digital objects, including documents, photographs, audio, video, and data sets, which reflect a range of materials collected, managed, and preserved by the UCSD Library to support teaching, learning and research. Content has been drawn from across the Library collections with strengths in the areas of Baja California, Melanesia, Oceanography, and UC San Diego history. Access to more content will increase over time. Items have been digitized from the original primary sources in our collections, and recently the Library began to partner with UC San Diego researchers on campus to make research data more readily available. The Digital Collections website gathers data into two broad categories of content: Library Digital Collections contains digitized versions of selected collections covering topics such as art, film, music, history and anthropology.
Society leading the fight against kidney disease by educating health professionals, sharing new knowledge, advancing research, and advocating the highest quality care for patients. To accomplish its mission, ASN will: # Educate health professionals by increasing the value of ASN education. # Share new knowledge by improving the quality and expanding the reach of ASN''s communications, including maintaining the premier publications in kidney disease. # Promote the highest quality care by serving as the professional organization informing health policy in kidney disease. # Advance patient care and research in kidney disease by strengthening the pipeline of clinicians, researchers, and educators. To accomplish this goal, ASN will: ## Implement a strategy to increase interest in nephrology careers, which includes promoting diversity within the nephrology workforce. ## Help fund travel to ASN educational activities for physicians and researchers training in the field of kidney disease. ## Use the ASN Grants Program to support outstanding research and foster career development. # Continue to bolster the ASN infrastructure, which includes: ## Increasing diversityincluding age and experience, ethnicity, and genderat all levels of the society. ## Providing avenues for helping ASN members facilitate professional exchange. ## Expanding ASN membership. ## Increasing the ASN Council-Designated Endowment Fund (independent of operational budget) to support grants and other priorities
Public research university located in London, United Kingdom that offers undergraduate, graduate, and professional degree programs in medicine, economics, social sciences, etc.
The Bacterial Carbohydrate Structure DataBase is aimed at provision of structural, bibliographic, taxonomic and related information on bacterial carbohydrate structures. It currently requires Internet Explorer in order to function properly. Two key points of this service are: :* covering - is above 95% in the scope of bacterial carbohydrates. This means the negative search answer remains the valuable information too. :* consistence - we manually check the data, and aim at hight quality error-free content The source of data are Carbbank database (University of Georgia, Athens; structures published before 1995, approx. 4000 records) and manual data posting (structures published after 1995, approx. 3000 records). The scope is bacterial carbohydrates and covers nearly all structures of this class published before 2006. Bacterial means that a structure has been found in bacteria or obtained by modification of those found in bacteria. Carbohydrate means a structure composed of any residues linked by glycosidic, ester, amidic, ketal, phospho- or sulpho-diester bonds, in which at least one residue is a sugar or its derivative. Besides the structure itself, each record includes bibliography, abstract, keywords, biological source, methods used to elucidate the structure, bioactivity, NMR assignment tables and a lot of other information. More details, including a format of records, are available at data submission page. You can search the database by IDs, bibliographic data and keywords, biological source, the fragment of structure and NMR data. The substructure search implies either a query language (expert form) or a structure wizard. The database is cross-linked with GlycoSCIENCES DB, which includes all the data from Carbbank (not only bacterial). This means you can search the substructure you entered in GlycoSCIENCES DB, and each record, which contains a structure also present in Carbbank, has a cross-link to data from GlycoSCIENCES DB, including NMR spectra.
A controlled vocabulary of ontology class structures and entities of observed phenotypic terms for primary immunodeficiency diseases (PIDs) that facilitate global sharing and free exchange of PID data with users'' communities
Founded in 1870 as one of the first technological schools west of the Mississippi, Missouri S&T is one of the nation''s top technological research universities. Missouri S&T produced the engineers, scientists and innovators who helped drive the Industrial Revolution and launch the Space Age. Today, our graduates are poised to lead the new global, green economy.
A database of sequence alignments and phylogenetic trees for chordates and embryophytes. The Adaptive Evolution Database (TAED) was first presented as a collection of branches from chordate and embryophyte gene families with fast evolutionary rates mapped onto the NCBI taxonomy (1,2). The original gene families were from the Master Catalog and are proprietary (3). A new version of TAED is now presented as a taxonomic shell together with a gene family database. In addition to multiple sequence alignments and phylogenetic trees for all families of chordate and embryophyte sequences, the ratio of non-synonymous to synonymous nucleotide substitution rates (Ka/Ks) is provided for each branch of every phylogenetic tree. This ratio, when significantly greater than 1, is an indicator of positive selection and potentially a change of function of the encoded protein. With a gene tree to species tree mapping, the branches significantly greater than 1 are collated together in a phylogenetic context. The framework is expandable to incorporate other genomic-scale information in a phylogenetic context. Ultimately, the database is designed both to provide high-quality gene families with multiple sequence alignments and phylogenetic trees for chordates and embryophytes, and to enable asking the question, What makes each species unique at the molecular genomic level?
A specialized version of autoPack designed to pack biological components together. The current version is optimized to pack molecules into cells with biologically relevant interactions to populate massive cell models with atomic or near-atomic details. Components of the algorithm pack transmembrane proteins and lipids into bilayers, globular molecules into compartments defined by the bilayers (or as exteriors), and fibrous components like microtubules, actin, and DNA.
Public university in Perth, Western Australia, with campuses also in Singapore and Dubai. It began operations as the state's second university on 25 July 1973, and accepted its first undergraduate students in 1975.
Public, high-value federal datasets, tools, and applications using data about health and health care gathered from agencies across the U.S. government.
A mini-collection of human gait data that was constructed as a teaching resource for an intensive course (The Modern Science of Human Aging, conducted at MIT) that includes walking stride interval time series from 15 subjects: 5 healthy young adults (23 - 29 years old), 5 healthy old adults (71 - 77 years old), and 5 older adults (60 - 77 years old) with Parkinson's disease. For each subject, two columns of data are included. The first column is time (in seconds) and the second is the stride interval (variously known as stride time, gait cycle duration, and time between successive heel strikes of the same foot). The same data are also available as standard PhysioBank-format annotation (.str) and header (.hea) files, for viewing or analysis using PhysioToolkit software from this site. Subjects walked continuously on level ground around an obstacle-free path. The stride interval was measured using ultra-thin, force sensitive resistors placed inside the shoe. The analog force signal was sampled at 300 Hz with a 12 bit A/D converter, using an ambulatory, ankle-worn microcomputer that also recorded the data. Subsequently, the time between foot-strikes was automatically computed. The method for determining the stride interval is a modification of a previously validated method that has been shown to agree with force-platform measures, a gold standard. Data were collected from the healthy subjects as they walked in a roughly circular path for 15 minutes, and from the subjects with Parkinson's disease as they walked for 6 minutes up and down a long hallway.
The Radboud University is a public university with a strong focus on research located in Nijmegen, the Netherlands.
Database for analyzing drug-target interactions, it integrates drug-related information associated with medical indications, adverse drug effects, drug metabolism, pathways and Gene Ontology (GO) terms for target proteins. At present (May 2013), the updated database contains >6000 target proteins, which are annotated with >330 000 relations to 196 000 compounds (including approved drugs); the vast majority of interactions include binding affinities and pointers to the respective literature sources. The user interface provides tools for drug screening and target similarity inclusion. A query interface enables the user to pose complex queries, for example, to find drugs that target a certain pathway, interacting drugs that are metabolized by the same cytochrome P450 or drugs that target proteins within a certain affinity range.
A basic ontology which describes the proteomics pipeline infrastructure for CPTAC project
Alferov Federal State Budgetary Institution of Higher Education and Science Saint Petersburg National Research Academic University of the Russian Academy of Sciences was founded in 1997 originally as the Research and Education Center of the Ioffe Institute to integrate science and education in the field of physics and information technologies.
Collection of mutations in CFTR gene for international cystic fibrosis genetics research community. Provides up to date information about individual mutations in CFTR gene. All known CFTR mutations and sequence variants have been converted to standard nomenclature recommended by Human Genome Variation Society. On line process for submission of new mutations has been added.While they continue to ensure quality of data, they urge international community to give them feedback and suggestions. Clinical information in this database relates only to details of discovery of specific mutations. As part of 2010 upgrade, CFTR1 joined new project called CFTR2 - Clinical and Functional TRanslation of CFTR. Links to CFTR2 for many mutations in CFTR1 will provide up-to-date summaries of genotype-phenotype information from patient registries around the world.
Database that represents a centralized platform to visually depict and integrate information pertaining to domain architecture, post-translational modifications, interaction networks and disease association for each protein in the human proteome. All the information in HPRD has been manually extracted from the literature by expert biologists who read, interpret and analyze the published data.