We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Data and information collection and repository for biological activities of small molecules and small interfering RNAs (siRNAs) hosted by the US National Institutes of Health (NIH). Used to select and summarize the bioactivities of tested substances.
Software interface for interacting with brain atlases. Python client to brain atlas framework that integrates brain parcellations and reference spaces at different spatial scales, and connects them with broad range of multimodal regional data features. It aims to facilitate programmatic and reproducible incorporation of brain parcellations and brain region features from different sources into neuroscience workflows.
The core mission of the AXA Research Fund is to finance basic research contributing to understand and prevent risks. We support innovative and cutting-edge projects within three areas: environmental, life, and socio-economic risks. Only research institutions may submit applications. * Funding for research projects, postdoc and graduate fellowships, and long and short term projects * Encourages international applicants and research around the world Research projects funded by the Fund must fall within the scope of one of the themes identified by the AXA Scientific Board. The themes for 2011 are identified below: * Life risks ** Aging & Long-term care ** Biomedical risks ** Addictions and risky behaviors * Socio-economic risks ** Geopolitical risks ** Macroeconomic and financial systemic risks ** Individual and collective behaviors when facing uncertainties ** Large corporate risks * Environmental risks ** Climate change ** Natural hazards ** Human driven environmental changes
Software tool to searches one or more input files for lines containing a match to a specified pattern. Prints lines that contain match for one or more patterns. Command-line utility for searching plain-text data sets for lines that match regular expression. When finds match, it copies line to standard output (by default), or produces whatever other sort of output you have requested with options.
Software pipeline for universal mapping of ATAC-seq.
The CEI Science & Technology Network (S&TN), launched at the beginning of 2004, is composed of sevenTrieste-based research centres and their partners in the CEI region. With the aim to strengthen scientific and technological cooperation, the S&TN provides financial support for the organization of seminars, conferences, workshops and training courses. Young scientists from CEI countries, especially non-EU member States, are offered the opportunity to attend such activities and carry out scientific research on various topics in one of the seven Lead Institutions (LIs). The area of cooperation of each Lead Institution is separately defined in a three-year Protocol complemented by an annual Work Programme. During 2004-2009, the Network''s Lead Institutions implemented a number of activities, some of which in partnership with other institutions from CEI countries. This cooperation started up the Secondary Network whose further enhancement will be the main challenge in the future years. The CEI Research Fellowship Programme The CEI Research Fellowship Programme was established in 2005 to enable mobility across the CEI region by giving selected scientists the possibility of carrying out research in one of the Network''s Lead Institutions. In the time-frame 2005 - 2009, the request for fellowships has constantly increased and witnessed the effectiveness of the Programme. Taking this into account, in 2008 the CEI-ES started to explore EU funding opportunities in order to develop its Research Fellowship Programme. A joint proposal named CERES (CEI Research Fellowship Programme) was submitted to the European Commission under the Seventh Framework Programme for Research and Technological Development (FP7). CERES was approved and is currently under implementation. EU Funding opportunities for the CEI Science & Technology Network Following the successful experience of CERES, the CEI-ES, along with the Network''s Lead Institutions, will continue to look into funding opportunities offered by the EU with the ultimate aim to support mobility of researchers across the CEI area and promote significant progress in the S&T sector.
Consortium to unite efforts and resources from experts across globe to advance effective, antibody based therapies against novel coronavirus, SARS-CoV-2. Represents multidisciplinary convergence of structural biology, virologists, immunologists, clinicians and bioinformaticians from academic and industry settings. Collects antibodies for testing as part of CoVICS. Contributed antibodies are blinded and will only be known as code name. Antibody contributors will be able to see performance of their own molecules and take part in analysis. Contributors retain ownership of their antibodies and may continue to publish on them using original antibody names. Goal is to determine relative in vitro potency and in vivo efficacy using centralized standardized assays to identify best individual mAbs and rational combinations of mAbs. Consortium will recommend ideal therapeutic molecules for human use to protect vulnerable populations from COVID-19 disease. CoVIC database (CoVIC-DB) will serve as clearinghouse for monoclonal antibodies against SARS-CoV-2. Database will catalog contributed antibodies in searchable resource and provide interactive analysis tools for comparisons among them.
Stand-alone Raspberry Pi-enabled IoT system to monitor near-realtime sensor data in MyVivarium web app. Used to track environmental conditions of vivaria.
Software program for probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach.
Portal includes vocabulary to assist global response to Coronavirus outbreak. Creates, maintains, and promotes schemas for structured data.
Core offers researchers and beekeepers, throughout the world, services to identify floral resources and evaluate characteristics of honey and pollen.
A software package of quality control tools for next generation sequencing (NGS) data, consisting of both raw reads quality evaluation and de novo contamination screening, which could identify all possible contamination sequences. This QC pipeline supplies a fast, easy-to-use, and parallel processing approach to accomplish the comprehensive QC steps, which could be applied widely to almost all kinds of NGS reads, including genomic, transcriptomic and metagenomic data.
Web tool written in R for generation of box plots with R packages shiny, beanplot4, vioplot, beeswarm and RColorBrewer, and hosted on shiny server to allow for interactive data analysis. Data are held temporarily and discarded as soon as session terminates.Represents both summary statistics and distribution of primary data. Enables visualization of minimum, lower quartile, median, upper quartile and maximum of any data set.Data matrix can be uploaded as file or pasted into application. May be downloaded to run locally or as virtual machine for VMware and VirtualBox.
Facility provides specialized MS services. The major areas of focus of the lab are Analysis of intact proteins, multi-protein complexes, and protein structure; Identification and purification of compounds from complex mixtures coupled with quantitative analysis.; Purification using mass directed autopurification liquid chromatography. Users can be trained on the instruments for walk-up use or samples can be submitted for analysis.
The OECI is a non-government, non-profit organization founded in Vienna in 1979. The primary objectives of its 68 associated European Cancer Centres are to improve communication and to increase collaborative activities among European cancer institutes. These goals are achieved by promoting and strengthening Comprehensive Cancer Centres in Europe to reduce cancer incidence and mortality, and supporting cancer patients. The OECI leadership has demonstrated its active involvement in the promotion of a European approach to cancer management as a partner with UICC in the series of European Cancer Management Meetings organized with support from the European Union (Antwerp, 2000; Paris 2001). OECI members are leading Cancer Centres throughout Europe, encompassing the full spectrum of Cancer activities and national considerations. In order to facilitate the activities of their members and the definition of common programs of international interest and to facilitate the participation in European projects and programs the GEIE-LINC and the OECI in 2001 decided to set-up 9 specific Working Groups active in the following fields: Guidelines, Registration & Data Evaluation, Cost-Benefit, Pre-Clinical and Clinical Research, Education, Communication, Telematics & Telemedicine, Pathology, New Technologies
Collaborative database for pregnancy and placental research studies worldwide by Global Pregnancy Collaboration CoLab . Database for collecting data for pregnancy studies in preeclampsia and other fields. Database has web based data entry platform with study specific user access. Data can also be entered offline using formatted spreadsheet template that can be uploaded to database in bulk or stored locally. Data is property of investigator but with permission can be combined into larger studies across centers and countries. Collaboration is enabled but not required.
Human Research 3 Tesla Magnetic Resonance Imaging provides high quality anatomic and advanced MR imaging services for IRB-approved research studies and clinical trials with funds allocated for non-standard-of-care research MRI scans.
tranSMART is a knowledge management platform that enables scientists to develop and refine research hypotheses by investigating correlations between genetic and phenotypic data, and assessing their analytical results in the context of published literature and other work. tranSMART is licensed through GPL 3. The integration, normalization, and alignment of data in tranSMART permits users to explore data very efficiently to formulate new research strategies. Some of tranSMART''s specific applications include: * Revalidating previous hypotheses * Testing and refining novel hypotheses * Conducting cross-study meta-analysis * Searching across multiple data sources to find associations of concepts, such as a gene''s involvement in biological processes or experimental results * Comparing biological processes and pathways among multiple data sets from related diseases or even across multiple therapeutic areas Data Repository The tranSMART Data Repository combines a data warehouse with access to federated sources of open and commercial databases. tranSMART accommodates: * Phenotypic data, such as demographics, clinical observations, clinical trial outcomes, and adverse events * High content biomarker data, such as gene expression, genotyping, pharmacokinetic and pharmaco-dynamics markers, metabolomics data, and proteomics data * Unstructured text-data, such as published journal articles, conference abstracts and proceedings, and internal studies and white papers * Reference data from sources such as MeSH, UMLS, Entrez, GeneGo, Ingenuity, etc. * Metadata providing context about datasets, allowing users to assess the relevance of results delivered by tranSMART Data in tranSMART is aligned to allow identification and analysis of associations between phenotypic and biomarker data, and it is normalized to conform with CDISC and other standards to facilitate search and analysis across different data sources. tranSMART also enables investigators to search published literature and other text sources to evaluate their analysis in the context of the broader universe of reported research. External data can also be integrated into the tranSMART data repository, either from open data projects like GEO, EBI Array Express, GCOD, or GO, or from commercially available data sources. Making data accessible in tranSMART enables organizations to leverage investments in manual curation, development costs of automated ETL tools, or commercial subscription fees across multiple research groups. Dataset Explorer tranSMART''s Dataset Explorer provides flexible, powerful search and analysis capabilities. The core of the Dataset Explorer integrates and extends the open source i2b2 application, Lucene text indexing, and GenePattern analytical tools. Connections to other open source and commercial analytical tools such as Galaxy, Integrative Genomics Viewer, Plink, Pathway Studio, GeneGo, Spotfire, R, and SAS can be established to expand tranSMART''s capabilities. tranSMART''s design allows organizations flexibility in selecting analytical tools accessible through the Dataset Explorer, and provides file export capabilities to enable researchers to use tools not accessible in the tranSMART portal.
Software brain connectivity toolbox for Python.
Core allows researchers to generate high resolution tomographic data of bone, fossils, and contrast enhanced tissues. These data can include 3D surface visualizations of anatomy and morphology, that can facilitate morphometric studies, phylogenetics analysis, and biomechanics modelling.