Curator Dashboard

Cell Press publishes monthly podcasts featuring interviews with leading scientists from around the world. You can subscribe to the Cell podcast via iTunes, listen directly by using the audio player, or download the individual podcast.

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. To bridge the gap between the rising information needs of biological and medical researchers and the rapidly growing number of online bioinformatics resources we have created the Online Bioinformatics Resources Collection (OBRC) at the Health Sciences Library System at the University of Pittsburgh. The OBRC containing 1542 major online bioinformatics databases and software tools was constructed using the HSLS content management system built on the Zope? Web application server. To enhance the output of search results we further implemented the Vivsimo Clustering Engine? which automatically organizes the search results into categories created dynamically based on the textual information of the retrieved records. As the largest online collection of its kind and the only one with advanced search results clustering OBRC is aimed at becoming a one-stop guided information gateway to the major bioinformatics databases and software tools on the Web. OBRC is available at the University of Pittsburgh's Health Sciences Library System.

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• SciCrunch
• 17 years ago - by Anonymous

Software package for haplotype block identification, visualization and htSNP selection. It can also compare the haplotype block structure with local LD pattern. The program can be either run as a web service, or standalone executables on local machine. (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

Neurofitter is software for parameter tuning of electrophysiological neuron models. It automatically searches for sets of parameters of neuron models that best fit available experimental data, and therefore acts as an interface between neuron simulators, like Neuron or Genesis, and optimization algorithms, like Particle Swarm Optimization, Evolutionary Strategies, etc.

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• SciCrunch
• 15 years ago - by Anonymous

Software for modeling binding preferences of RNA-binding proteins from high-throughput experiments such as CLIP-seq and RNAcompete.

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• SciCrunch
• 13 years ago - by Anonymous

Brain Networks: Code to perform network analysis on brain imaging data.

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• SciCrunch
• 15 years ago - by Anonymous

A community-driven ontology that is developed to standardize and integrate cell line information and support computer-assisted reasoning. Its focus is on permanent cell lines from culture collections. Upper ontology structures that frame the skeleton of CLO include Basic Formal Ontology and Relation Ontology. Cell lines contained in CLO are associated with terms from other ontologies such as Cell Type Ontology, NCBI Taxonomy, and Ontology for Biomedical Investigation. A common design pattern for the cell line is used to model cell lines and their attributes, the Jurkat cell line provides ane xample. Currently CLO contains over 36,000 cell line entries obtained from ATCC, HyperCLDB, Coriell, and bymanual curation. The cell lines are derived from 194 cell types, 656 anatomical entries, and 217 organisms. The OWL-based CLO is machine-readable and can be used in various applications. The CLO development has become a community effort with international collaborations. The development consortium includes experts from all over the world: the USA, Europe, and Japan.

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• SciCrunch
• 15 years ago - by Anonymous

Data set of nearly 600 MR images from normal, healthy subjects, along with demographic characteristics, collected as part of the Information eXtraction from Images (IXI) project available for download. Tar files containing T1, T2, PD, MRA and DTI (15 directions) scans from these subjects are available. The data has been collected at three different hospitals in London: * Hammersmith Hospital using a Philips 3T system * Guy''s Hospital using a Philips 1.5T system * Institute of Psychiatry using a GE 1.5T system

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• SciCrunch
• 15 years ago - by Anonymous

brain-development.org hosts data and resources used in computational analysis of brain development, including MRI data sets of developing human, software tools, atlases, protocols and software. Several different atlas datasets are available including: * Adult * Pediatric * Neonatal (T2 Templates, Probability Maps) * Neonatal (High-definition, T1 and T2 Templates, Probability Maps) * Fetal (High-definition, T2 Templates, Probability Maps) * Atlas software Anatomical segmentation protocols are available, as well as an Image Registration Toolkit.

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• SciCrunch
• 15 years ago - by Anonymous

Medical school of the University of Maryland, Baltimore and is affiliated with the University of Maryland Medical Center and Medical System. Located in Baltimore City, Maryland, U.S.

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• SciCrunch
• 12 years ago - submitted by Andrea Stagg

AMAT is a Matlab-based, open source interface for searching fMRI coordinates together with a simple database of coordinates. The AMAT database is deliberately designed to be minimal. Effectively, the database reproduces the tables of XYZ coordinates which are common in fMRI papers. Each coordinate is associated with the anatomical label given by the authors of the original paper, a ag for Talaraich or MNI coordinates, a very brief description of the description of the functional task or contrast which activated this coordinate, and the PubMed ID of the published paper. The latter links directly to the abstract in PubMed and allows the user to retrieve the original publication. Anatomical information labeling a coordinate as a particular Brodmann area or functional region is optional, and is normally only included if the authors of the original paper included these labels. No other information is stored.

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• SciCrunch
• 15 years ago - by Anonymous

The Major Depressive Disorder Neuroimaging Database (MaND) contains information of 225 studies which have investigated brain structure (using MRI and CT scans) in patients with major depressive disorder compared to a control group. 143 studies and 63 brain structures are included in the meta-analysis. The database and meta-analysis are contained in an Excel spreadsheet file which may be freely downloaded from this website.

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• SciCrunch
• 15 years ago - by Anonymous

The Primary Immunodeficiency Disease Ontology Project is developing an ontology for the phenotypic description of Primary Immunodeficiency Diseases. The ontology can be used for integrative research in both biomedical and clinical research. Primary Immunodeficiency Diseases (PIDs) are Mendelian diseases, caused by defects or deletions of genes involved in the development, regulation and maintenance of the immune system. They usually affect newborns and toddlers, but can also manifest much later in life. Information about PIDs is often widely scattered across the research literature and a number of databases. PIDO is an attempt to develop both a machine- as well as a human-comprehensible representation of these diseases, starting with a phenotypic descriptions of disease.

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• SciCrunch
• 15 years ago - by Anonymous

PIDFinder is a tool for the exploration of the Primary Immunodeficiency Disease Ontology. Apart from browsing the knowledge contained in the ontology, it can also be used for the identification of PIDs based on a set of observed Phenotypes. The PidFinder web application is a developing prototype application that allows non-bioinformaticians to quickly view and use the knowledge contained in the Primary Immunodeficiency Disease Ontology. The application consists of a number of components: * The PIDFinder: allows the selection of a set of phenotypes and subsequently compares the set with the canonical set of phenotypes defined in the PID Ontology. The phenotypes, that can be selected are grouped by biomarker and are thus available in a number of different facets. Once phenotypes have been selected, the application compares them to canonical phenotypes associated with PIDs in the PID Ontology, by computing a semantic similarity measure. The similarity is determined using a Tanimoto Distance - the more closely related an observed phenotype is to a canonical ontology phenotype, the closer the calculated Tanimoto Distance is to 1 - with increasing dissimilarity, the Tanimoto Coefficient tends towards 0. * The Phenotype Explorer: a rudimentary browser for phenotypes currently contained in the PID Ontology. The browser allows the user to find phenotypes based on biomarker categories and provides some basic definitions (not all definitions are available at this stage) and disease association information. * A Heatmap comparing the phenotypic overlap of PIDs: In essence, the heatmap is a many-to-many comparison of the phenotypic overlap between all Primary Immunodeficiency Diseases contained in the PID Ontology. Again, overlap is calculated using a Tanimoto Distance. The heatmap is a matrix, plotting the Tanimoto coefficients for every PID/PID pair. Increased off-diagonal overlap between PIDs most likely indicates genes in the same pathway. * A Phenotype Frequency Visualization: The phenotype frequency visualization is a simple bar chart indicating how often a particular phenotype is associated with a Primary Immunodeficiency Disease in the Ontology. * A PID Expert map: All of the phenotypes and knowledge contained in the Primary Immunodeficiency Disease Ontology has been extracted from primary clinical or research literature. To construct the map, we have extracted the affiliations and locations of the authors of the literature sources and overlayed them on a map. The hope is that this will facilitate the identification of (local) experts on primary immunodeficiency diseases.

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• SciCrunch
• 15 years ago - by Anonymous

Public data warehouse for searching cell line data extracted from both ATCC and HyperCLDB. The knowledge base uses the Cell Line Ontology, created with the Protege ontology editing tool from the National Center for Biomedical Ontologies (NCBO) and merges concepts from other ontologies, including the Cell Type Ontology. The Cell Line Knowledge Base uses our Cell Line Ontology as the underlying data model. The ontology defines the following cell line attributes: Cell Line ID, Organism, Tissue, Pathology, Growth Mode, MeSH ID. To report errors in the data or to add cell line data to the knowledge base, please email: clbk-data (at) umich.edu

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• SciCrunch
• 15 years ago - by Anonymous

Tool for helping people identify and locate online repositories of research data. Users and bibliographers create and curate records that describe data repositories that users can search. * What repositories are appropriate for a researcher to submit his or her data to? * How do users find appropriate data repositories and discover datasets that meet their needs? * How can librarians help patrons locate and integrate data into their research or learning? Databib attempts to address these needs for the research community, including: * data users * data producers * publishers and professional societies * librarians * research funding agencies Are you familiar with a data repository that isn''t included in Databib? Please consider submitting a new record. You can suggest a repository for us to catalog by simply entering its title, URL, authority, and a subject for it... and we''ll do the rest!

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• SciCrunch
• 15 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. PubSearch is a web-based literature curation tool, allowing curators to search and annotate genes to keywords from articles. It has a simple mySQL database backend and uses a set of Java Servlets and JSPs for querying, modifying, and adding gene, gene-annotation, and literature information. PubSearch can be downloaded from GMOD. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous

Software package for functional analysis of sequences by classifying them into families and predicting presence of domains and sites. Scans sequences against InterPro's signatures. Characterizes nucleotide or protein function by matching it with models from several different databases. Used in large scale analysis of whole proteomes, genomes and metagenomes. Available as Web based version and standalone Perl version and SOAP Web Service.

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• SciCrunch
• 15 years ago - by Anonymous

An ALL in ONE tool for functional annotation of (novel) sequences and the analysis of annotation data. Blast2GO (B2G) joins in one universal application similarity search based GO annotation and functional analysis. B2G offers the possibility of direct statistical analysis on gene function information and visualization of relevant functional features on a highlighted GO direct acyclic graph (DAG). Furthermore B2G includes various statistics charts summarizing the results obtained at BLASTing, GO-mapping, annotation and enrichment analysis (Fisher''''s Exact Test). All analysis process steps are configurable and data import and export are supported at any stage. The application also accepts pre-existing BLAST or annotation files and takes them to subsequent steps. The tool offers a very suitable platform for high throughput functional genomics research in non-model species. B2G is a species-independent, intuitive and interactive desktop application which allows monitoring and comprehending the whole annotation and analysis process supported by additional features like GO Slim integration, evidence code (EC) consideration, a Batch-Mode or GO-Multilevel-Pies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

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• SciCrunch
• 15 years ago - by Anonymous

Web Gene Ontology Annotation Plot (WEGO) is a simple but useful tool for plotting Gene Ontology (GO) annotation results. Different from other commercial software for chart creating, WEGO is designed to deal with the directed acyclic graph (DAG) structure of GO to facilitate histogram creation of GO annotation results. WEGO has been widely used in many important biological research projects, such as the rice genome project and the silkworm genome project. It has become one of the useful tools for downstream gene annotation analysis, especially when performing comparative genomics tasks. Platform: Online tool

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• SciCrunch
• 15 years ago - by Anonymous