We support boolean queries, use +,-,<,>,~,* to alter the weighting of terms
Provides customized data analysis services and consultation to scientists at BGU and all over Israel from academia and industry. Goal to help scientists advance their research using bioinformatics methodologies, to design and analysis of experiments that use genomic technologies like next generation sequencing, mass spectrometry proteomics and metabolomics profiling, microarrays as well as mining and reanalysis of publicly available datasets. Facility develops software tools for automation of data analysis workflows like NeatSeq-Flow, Microbe-Flow.
Teaching hospital of University of Hamburg located in Eppendorf, Hamburg, Germany.
Core provides support, assistance and training in wide range of bioinformatics topics. Maintains high-performance computing resource offering many bioinformatics applications, substantial processing power and secure storage. Provides support for desktop computing and poster printing. Services include Data Analysis, Software Support (access to proprietary bioinformatics resources Ingenuity Pathway Analysis and GeneGO MetaCore, Training sessions covering various bioinformatics topics, Linux compute cluster,data storage.
Provides assistance in characterization and analysis of genomic variants, next generation sequencing data processing and analysis, computational systems biology, HPC and big data software development for genome scale data analysis, machine learning and data mining, cloud based solutions to process and manage large amounts of data, databases and genome scale data visualization.
Core promotes and supports adoption, use, and development of bioinformatics tools for advancing biological research. Organizes and teaches courses and workshops for all services needed by Weizmann researchers.
Core facility provides high throughput sequencing data analysis, metagenomics data analysis, proteomics data analysis, protein structure analysis, functional genomics, programming, scripting, and database or web services.
Facility provides regular training sessions, tools, advice and data analysis services to Centre members.
Core provides consultation, training, software and educational tools in bioinformatics and graphics.
The CRG is an international biomedical research institute of excellence whose mission is to discover and advance knowledge for the benefit of society, public health and economic prosperity. Goals To be a world leading centre in biomedical science, by providing our scientists with a stimulating environment, cutting edge technologies and the freedom to conduct the most innovative research. To communicate and establish a dialogue with society, by educating the public and being receptive to their needs. To provide multi- and inter-disciplinary training for the next generation of scientists as well as supporting science education. To translate new scientific knowledge into benefits for health and value for society.The CRG is a unique centre in Spain, based in an innovative organization research model. Group leaders at the CRG are recruited internationally and receive support from the centre to set up and run their groups. An external Scientific Advisory Board, made up of 15 world leaders in the different areas, evaluates them. The result of evaluations conditions the future of the CRG scientists, no matter whether they have open-ended or time-limited contracts. This ensures the mobility and the renewal of the workforce.The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, created in December 2000. It is a non-profit foundation funded by the Catalan Government through the Departments of Business & Knowledge, the Spanish Ministry of Science, Innovation & Universities, the 34;la Caixa34; Banking Foundation, and includes the participation of Pompeu Fabra University. The mission of the CRG is to discover and advance knowledge for the benefit of society, public health and economic prosperity.
Provides bioinformatics services to research groups in Babraham Institute, United Kingdom and external commercial consultancy service. Provides assistance in genomics, proteomics, statistics, microarrays, and custom software development.
Central unit for bioinformatics and omics technologies of University of Tübingen, Medical Faculty and Max Plank for Developmental Biology. Through partnering with on campus core facilities, offers services on full range of omics technologies. Data generation is complemented by integrated bioinformatics analyses, and all high throughput data is managed centrally.
Platform to provide tutorials and resources in experimental design and data analysis to researchers interested in using optical mapping data.
Provides services of consultation and data analysis, with focus on Next Generation Sequencing and other high throughput experiments, software and database development, and training in basic and advanced bioinformatics techniques. Services provided for fee to support collaborative grant funded investigations.
Core provides bioinformatics services for researchers at University Medical Center Hamburg Eppendorf and related institutions. Focusing on high throughput sequencing data. Services include data analysis, consulting, software development, and bioinformatical training.
Software package for optical mapping data processing, analysis and visualization. Used to handle and explore large scale optical mapping profiles.
Fluorescence microscopy system by Bruker. Multiphoton imaging system for intravital imaging applications in neuroscience, oncology and immunology using Bruker Prairie View software to provide turnkey operation for imaging as well as synchronizing Ultima system with external stimulus and experimental control devices.
Software suite as top view based behavior analysis system by CleverSys Inc. Uses animal body parts to provide behavior analysis results. Used in experiments with animal tracking task.
Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Python wrapper for Penn Machine Learning Benchmark data repository. Large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Part of PyPI https://pypi.org/