We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Web based gene set analysis toolkit designed for functional genomic, proteomic, and large-scale genetic studies from which large number of gene lists (e.g. differentially expressed gene sets, co-expressed gene sets etc) are continuously generated. WebGestalt incorporates information from different public resources and provides a way for biologists to make sense out of gene lists. This version of WebGestalt supports eight organisms, including human, mouse, rat, worm, fly, yeast, dog, and zebrafish.
A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.
A named entity recognizer for the recovery of bioinformatics databases and software from primary literature. The entity recognizer achieved an F-measure of between 63% and 91% on different datasets (63%78% at the document level). Results from full-text literature analysis for both Genome Biology and BMC Bioinformatics journals are available as well as a full list of references and links for the various major resources mentioned. Data generated data can be used for exploration of bioinformatics database and software usage. This tool makes heavy use of GATE (version 6.1). It can be run in sandbox mode, which means a installation of GATE is not a prerequisite, but you will instead need to point the config to a unzipped gate_plugins directory instead (located in the bin/BMC_Files directory).
Multi-organism, publicly accessible compendium of peptides identified in a large set of tandem mass spectrometry proteomics experiments. Mass spectrometer output files are collected for human, mouse, yeast, and several other organisms, and searched using the latest search engines and protein sequences. All results of sequence and spectral library searching are subsequently processed through the Trans Proteomic Pipeline to derive a probability of correct identification for all results in a uniform manner to insure a high quality database, along with false discovery rates at the whole atlas level. The raw data, search results, and full builds can be downloaded for other uses. All results of sequence searching are processed through PeptideProphet to derive a probability of correct identification for all results in a uniform manner ensuring a high quality database. All peptides are mapped to Ensembl and can be viewed as custom tracks on the Ensembl genome browser. The long term goal of the project is full annotation of eukaryotic genomes through a thorough validation of expressed proteins. The PeptideAtlas provides a method and a framework to accommodate proteome information coming from high-throughput proteomics technologies. The online database administers experimental data in the public domain. You are encouraged to contribute to the database.
Global registry of research data repositories from all academic disciplines that allows the easy identification of appropriate research data repositories, both for data producers and users. Information icons display principal attributes of a repository that can be used for multi-faceted searches. Repository operators can suggest their infrastructures to be listed via a simple application form. A repository is indexed when the minimum requirements are met, i.e. mode of access to the data and repository, as well as the terms of use.
A quality assessment software package for next-genomics sequencing data.
A Java based variant caller designed for disease-control matched samples. Virmid is also specialized for identifying potential within individual contamination where the disease sample cannot be purified enough. While the SNP calling rate is severely compromised with this heterogeneity, Virmid can uncover SNPs with low allele frequency by considering the level of contamination (alpha). The important features of Virmid are: * Estimation of accurate proporation of control sample in a (mixed) disease sample * Improved SNP and somatic mutation calling with regard to the estimated proportion
The BioBricks Foundation (BBF) is dedicated to advancing synthetic biology to benefit all people and the planet. To achieve this, we must make engineering biology easier, safer, equitable, and more open. We do this in the following ways: by ensuring that the fundamental building blocks of synthetic biology are freely available for open innovation; by creating community, common values and shared standards; and by promoting biotechnology for all constructive interests. We envision a world in which scientists and engineers work together using BioBric parts freely available standardized biological parts to create safe, ethical solutions to the problems facing humanity. We envision synthetic biology as a force for good in the world. We see a future in which architecture, medicine, environmental remediation, agriculture, and many other fields are using the technology of synthetic biology. Our supporters are many and include corporations, individuals, institutions, foundations, government, corporations, and others. Currently, the BBF''s key programs include: * BIOFAB * BioBrick Public Agreement * Technical Standards Framework * Conferences and Workshops * BBF Global Network * OpenWetWare
Repository for toxicogenomics data, including study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. Data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. Data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but study design and phenotypic anchoring data are required.CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Biomedical Investigation Database is another component of CEBS system. used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee. BID has been shared with Health Canada and the US Environmental Protection Agency.
National workgroup to define platform-independent approaches for establishing technical process elements of a quality management system (QMS) to assure the analytical validity and compliance of next-generation sequencing (NGS) tests with existing regulatory and professional quality standards. The workgroup identified and addressed gaps in quality practices that could compromise the quality of both clinical laboratory services and translational efforts needed to advance the implementation and utility of NGS in clinical settings. The workgroup was composed of experts with knowledge of and experience with NGS and included clinical laboratory directors, clinicians, platform and software developers and informaticians, as well as individuals actively engaged in NGS guideline development from accreditation bodies and professional organizations. Representatives from US government agencies also participated. These guidelines address four topics that are components of quality management in a clinical environment: (i) test validation, (ii) quality control (QC) procedures to assure and maintain accurate test results, (iii) the independent assessment of test performance through proficiency testing (PT) or alternative approaches and (iv) reference materials (RMs). Discussions were limited to the analytic and informatics processes required for accurate variant calling. The workgroup did not address how variants are prioritized, interpreted or reported.
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
A software package for local sequence alignment for next-generation sequencing (NGS) data. It generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. Qudaich can be used to align DNA, translated DNA and protein sequences.
Offers one and two week short courses in bioinformatics, genomics and proteomics in response to an identified need for a skilled bioinformatics workforce in Canada. For eight years, the series offered short courses in bioinformatics, genomics and proteomics in various cities across Canada. Taught by top faculty from Canada and the US, the courses offered small classes and hands-on instruction. The CBW initiated development of a new format and series of exciting workshops focusing on training the researchers of these advanced technologies on the latest approaches being used in computational biology to deal with the new data. Past workshop content is available under a Creative Commons License.
Database portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualization platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community - essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimized data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualized in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.
Multi-center, placebo-controlled trial of ursodiol in primary sclerosing cholangitis (PSC). A total of 150 patients with previously untreated PSC without cirrhosis were randomly assigned to receive high doses of ursodiol (20-25 mg/kg/day) or placebo for two years. Patients underwent medical evaluation, endoscopic retrograde cholangiography, and liver biopsy before randomization and again at two-year intervals. The endpoints of therapy were progression of hepatic fibrosis, liver decompensation, liver transplantation, or death. The treatment phase of the study was stopped for futility in June 2008; however, patients continue to be followed. Ongoing mechanistic studies are underway.
Information dissemination service of the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) established to increase knowledge and understanding about digestive diseases among people with these conditions and their families, health care professionals, and the general public: online, in booklets and fact sheets, by email, and over the phone. To carry out this mission, NDDIC works closely with a coordinating panel of representatives from Federal agencies, voluntary organizations on the national level, and professional groups to identify and respond to informational needs about digestive diseases. NDDIC provides the following informational products and services: * Response to inquiries about digestive diseases - ranging from information about available patient and professional education materials to statistical data. By phone (8:30 a.m. to 5 p.m. eastern time, M-F), fax, mail, and email. * Publications about specific digestive diseases, provided free of copyright, in varying reading levels. Available online or as booklets and brochures. NDDIC also sends publications to health fairs and community events. * Referrals to health professionals through the National Library of Medicine''''s MEDLINEplus includes a consumer-friendly listing of organizations that will assist you in your search for physicians and other health professionals. * Exhibits at professional meetings specific to digestive diseases, as well as cross-cutting professional meetings. NDDIC exhibits at nine professional meetings each year, including Digestive Diseases Week, American College of Gastroenterology, Society of Gastroenterology Nurses and Associates, American Academy of Family Physicians, American Academy of Physician Assistants, American Nurses Association, and the National Conference for Nurse Practitioners.
Project aimed at revolutionizing understanding of human brain, to show how individual cells and complex neural circuits interact, enable rapid progress in development of new technologies and data analysis tools to treat and prevent brain disorders. BRAIN Initiative encourages collaborations between neurobiologists and scientists from disciplines such as statistics, physics, mathematics, engineering, and computer and information sciences. Institutes and centers contributing to NIH BRAIN Initiative support those research efforts.
Software tool as plug-in developed for ImageJ/FIJI platform to automatically detect and analyse cell migration and morphodynamics. Provides whole cell analysis of multiple cells, while also returning data on individual membrane protrusion events.
Portal that deals with the process of mechanotransduction, providing in-depth, regularly updated reviews on the mechanics of cellular and molecular function. Each review is written by scientists and subsequently peer reviewed by experts in the field to ensure the content is accurate, reliable and up to date. Each review emphasizes the functional and mechanical aspects of a process, rather than the genetic aspects, with the aim of making this resource accessible to a wider audience. MBInfo is an ideal resource for scientists working in alternative fields, individuals working in industries where products are based on biological principles or students seeking a reliable introduction to a given cellular process. Each topic is written in a pyramid structure. The top of the pyramid is represented by an overview page, providing a basic description of a given function or process. These pages target a broad spectrum of readers and assume only a basic understanding of biology. Further down the pyramid, the reader will encounter the steps involved in the process described and functional modules that address specific mechanical aspects. These pages outline the protein complexes involved and the mechanisms by which they achieve the given process or function. These pages assume the readers have a more in-depth knowledge of scientific terms and principles. For every topic, a series of graphics and/or animations are available. These supplement the reviews, clarify information and guide the reader through complex processes pictorially. This makes MBInfo an ideal teaching resource, whether in the classroom or for clients trying to understand your product. All images and text are copyright protected and are for personal use only. Current Topics include: * Cellular Structures in Mechanosensing and Cell Motility * Methods in the Study of Mechanobiology * Nuclear Mechanotransduction Almost 100 stand alone Glossary Terms are now available. These include short definitions or summaries of proteins and processes that relate to broader topics discussed within the site. Browse an extensive range of figures, tables and videos in our resources section. New quizzes and other interactive content can also be found.
The NIH Pain Consortium was established to enhance pain research and promote collaboration among researchers across the many NIH Institutes and Centers that have programs and activities addressing pain. To this end, the following goals have been identified for the Pain Consortium: * To develop a comprehensive and forward-thinking pain research agenda for the NIH - one that builds on what we have learned from our past efforts. * To identify key opportunities in pain research, particularly those that provide for multidisciplinary and trans-NIH participation. * To increase visibility for pain research - both within the NIH intramural and extramural communities, as well as outside the NIH. The latter audiences include our various pain advocacy and patient groups who have expressed their interests through scientific and legislative channels. * To pursue the pain research agenda through Public-Private partnerships, wherever applicable. This underscores a key dynamic that has been reinforced and encouraged through the Roadmap process.