We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
A free, open-source extension to MediaWiki - the wiki software that powers Wikipedia - that helps to search, organize, tag, browse, evaluate, and share the wiki''s content. While traditional wikis contain only text which computers can neither understand nor evaluate, SMW adds semantic annotations that allow a wiki to function as a collaborative database. Semantic MediaWiki introduces some additional markup into the wiki-text which allows users to add semantic annotations to the wiki. While this first appears to make things more complex, it can also greatly simplify the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. A large number of related extensions have been created that extend the ability to edit, display and browse through the data stored by SMW: the term Semantic MediaWiki is sometimes used to refer to this entire family of extensions.
Ontology for livestock reproductive traits and phenotypes
A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems.
Web based tool to enable the analysis of sets of genes, transcripts and proteins under different biological viewpoints and to interactively modify these sets at any point of the analysis. Detailed history and snapshot information allows tracing each action. One can switch back to previous states and perform new analyses. Sets can be viewed in the context of genomes, protein functions, protein interactions, pathways, regulation, diseases and drugs. Additionally, users can switch between species with an automatic, orthology based translation of existing gene sets. Sets as well as results of analyses can be exchanged between members of groups.
A web server to devise functionally important pathways through the identification of single nucleotide polymorphism (SNP)-targeted genes within these pathways. The strength of the methodology stems from its multidimensional perspective, where evidence from the following five resources is combined: (i) genetic association information obtained through GWAS, (ii) SNP functional information, (iii) protein-protein interaction network, (iv) linkage disequilibrium and (v) biochemical pathways.
EnzyMiner automatically identifies the PubMed abstracts that contain information on the impact of a protein level mutation on the stability or the activity of a given enzyme. For querying EnzyMiner, please choose an enzyme from the list and specify if you are interested in disease related abstracts or non-disease related abstracts. For disease related abstracts, the mutation list and direct links to the abstracts will be displayed. For those abstracts that are related to non-diseases, in addition to having the mutation list, the abstracts are also categorized into two groups. These two groups determine whether the mutation has an effect on the enzyme''s stability or functionality. If your target enzyme is not in the list, please write the enzyme name to the query box. We will run the EnzyMiner for the desired enzyme and add the results to our database. EnzyMiner has been developed by Computational Biology Lab of Sabanci University.
Software for statistical analysis of peptide microarrays. It uses an integrated analytical method for analyzing peptide microarray antibody binding data, from normalization through subject-specific positivity calls and data integration and visualization.
Database of mouse research resources at Sanger: BACs, targeting vectors, targeted ES cells, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen. The Wellcome Trust Sanger Institute generates, characterizes, and uses a variety of reagents for mouse genetics research. It also aims to facilitate the distribution of these resources to the external scientific community. Here, you will find unified access to the different resources available from the Institute or its collaborators. The resources include: 129S7 and C57BL6/J bacterial artificial chromosomes (BACs), MICER gene targeting vectors, knock-out first conditional-ready gene targeting vectors, embryonic stem (ES) cells with gene targeted mutations or with retroviral gene trap insertions, mutant mouse lines, and phenotypic data generated from the Institute''''s primary screen.
An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations.
A blog by Zen Faulkes, an invertebrate neuroethologist at The University of Texas-Pan American.
A blog about neuromarketing, a research methodology born of the fusion of neuroscience and research techniques of conventional marketing in Spanish by Sergio Monge. If you want to read it in English, Google translate does a good job. A good way to learn about practical applications of neuroscience to a field with little exposure in conventional neuroscience academia. The neuromarketing is a branch of market research that uses biometric measurement systems in their studies (EEG, MRI, galvanic skin response, eye-tracking, heart rate ...). One of the most significant differences with conventional research neuromarketing is not content with the verbal statements of the subjects, but aims to go further, unraveling the effect of the unconscious and emotions in decision-making. The author of Neuromarca is Sergio Monge, Degree in Advertising and Public Relations and PhD in Audiovisual Communication and Advertising from the University of the Basque Country / Euskal Herriko Universitatea. Sergio has experience in the field of Corporate Communications and is familiar with the blogosphere and the Internet communication environment. He currently teaches full time for the UPV / EHU and offers some services such as communications and marketing consultant. The interest of the author of this blog by neuroscience and neuromarketing longstanding but his attendance Neuro Connections conference, held from 5 to 7 febreo 2009 in Krakow (Poland), is the main reason he began writing Neuromarca. The intention is that Neuromarca is a repository of articles in Spanish about neuromarketing, so that could be a reference to the Hispanic blogosphere in this emerging discipline.
Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication.
A software infrastructure, course and tool set for teaching bioinformatics, and biology through the use of models. This platform for learning bioinformatics through problem solving aims to make learning bioinformatics fun and easy. Learning bioinformatics usually requires solving computational problems of varying difficulty that are extracted from real challenges of molecular biology. Rosalind offers an array of intellectually stimulating problems that grow in biological and computational complexity; each problem is checked automatically, so that the only resource required to learn bioinformatics is an internet connection. Rosalind also promises to facilitate improvements in standard bioinformatics education by providing a vital teaching aid and a central homework resource. Rosalind is inspired by Project Euler, Google Code Jam, and the ever growing movement of free online courses. The project''s name commemorates Rosalind Franklin, whose X-ray crystallography with Raymond Gosling facilitated the discovery of the DNA double helix by Watson and Crick. We hope that Rosalind will inspire a new generation of bioinformatics students by attracting biologists who want to develop vital programming skills at their own pace in a unique environment as well as programmers who have never been exposed to some of the stimulating computational problems generated by molecular biology.
French university, located in Brest, in the Academy of Rennes.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 1, 2022. Organization whose mission is to build and promote a sustainable ecosystem of professional societies, funding agencies, foundations, companies, and citizens together with life science researchers and innovators in computing, infrastructure and analysis with the expressed goal of translating new discoveries into tools, resources and products.
THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. An annotated and searchable collection of protein sequences for the families of DNA-binding proteins. DnaProt maximizes family information retrieval and helps reveal the relationships within the various functional binding classes. This classification system, implemented in an web-based management resource, is available for online DNA-binding pattern search and specific DNA-binding record retrieval. The database contains 3238 full-length sequences (retrieved from the SWISS-PROT database, release 38) that include, at least, a DNA-binding domain. Sequence entries are organized into families defined by PROSITE patterns, PRINTS motifs and de novo excised signatures. Combining global similarities and functional motifs into a single classification scheme, DNA-binding proteins are classified into 33 unique classes, which helps to reveal comprehensive family relationships. To maximize family information retrieval, DnaProt contains a collection of multiple alignments for each DNA-binding family while the recognized motifs can be used as diagnostically functional fingerprints. All available structural class representatives have been referenced. The resource was developed as a Web-based management system for online free access of customized data sets. Entries are fully hyperlinked to facilitate easy retrieval of the original records from the source databases while functional and phylogenetic annotation will be applied to newly sequenced genomes.
A blog by the accomplished Yale Neurologist Steven Novella, MD, covering news and issues in neuroscience, but also general science, scientific skepticism, philosophy of science, critical thinking, and the intersection of science with the media and society. Dr. Novella is an academic clinical neurologist at Yale University School of Medicine. He is the president and co-founder of the New England Skeptical Society. He is the host and producer of the popular weekly science podcast, The Skeptics'' Guide to the Universe. He is also a senior fellow and Director of Science-Based Medicine at the James Randi Educational Foundation (JREF), a fellow of the Committee for Skeptical Inquiry (CSI) and a founding fellow of the Institute for Science in Medicine. Dr. Novella also contributes every Sunday to The Rogues Gallery, the official blog of the SGU, every Monday to SkepticBlog, and every Wednesday to Science-Based Medicine, a blog dedicated to issues of science and medicine.
A web program that can locate residue periodicities in either amino acid or DNA sequences. It is based on an algorithm of Dr. A.D. McLachlan (1977). NOTE: You must use a Java compatible browser to run the application.
A web tool to create, display and manipulate structures of small molecules, proteins and DNA.