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http://www.biomedicumgenomics.fi/

Organization that provides academic and industrial clients access to functional genomics technologies, services and partnering solutions including genome-wide expression, copy number profiling, miRNA expression, DNA-protein interaction (ChIP-on-chip), Illumina high-throughput sequencing including nucleic acid quality and quantity assessment. For gene silencing and ectopic expression purposes, they offer high-titer shRNA and ORF lentiviruses targeting genes of interest. They also offer customized services e.g. preparation of gain or loss-of-function cell lines and protein interactomics-based services (yeast two-hybrid). In addition, they provide access to wide array of computational data analyses. BMGen also offers partnering deals for clients interested in customized integration of several technologies.

Proper citation: Biomedicum Genomics (RRID:SCR_003907) Copy   

•   Source: SciCrunch Registry

http://www.quartzbio.com/

A Swiss service and consulting company specialized in the computational analysis of biomarker data from clinical trials. Their technical expertise spans across multiple biomaker technological platforms such as genetics, transcriptomics, protein assays and cellular assays. Quartz Bio is a spin-off of Merck Serono with the capital of the company entirely owned by its employees.

Proper citation: Quartz Bio (RRID:SCR_003919) Copy   

•   Source: SciCrunch Registry

http://watson.nci.nih.gov/bioc_mirror/packages/2.11/bioc/html/EDASeq.html

Software for numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).

Proper citation: EDASeq (RRID:SCR_006751) Copy   

•   Source: SciCrunch Registry

https://www.agilent.com/en/product/automated-electrophoresis/bioanalyzer-systems/bioanalyzer-instrument/2100-bioanalyzer-instrument-228250

Bioanalyzer system is automated electrophoresis tool that providesa analytical evaluation of various samples types in many workflows, including next generation sequencing NGS, gene expression, biopharmaceutical, and gene editing research. Digital data is provided in timely manner and delivers assessment of sizing, quantitation, integrity and purity from DNA, RNA, and proteins. Minimal sample volumes are required for accurate result, and data may be exported in many different formats.

Proper citation: Agilent 2100 Bioanalyzer Instrument (RRID:SCR_018043) Copy   

•   Source: SciCrunch Registry

http://caspbase.org/

Database for evolutionary biochemical studies of caspase functional divergence and ancestral sequence inference. Tool to rapidly disseminate organized caspase sequence data. Includes all animal species with currently available annotated genomes in NCBI genome database. Manually curated and not curated sequences are available to download.

Proper citation: CaspBase (RRID:SCR_018975) Copy   

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http://www.lji.org/faculty-research/scientific-cores/bioinformatics/#overview

Core Facility provides support for short or long-term projects requiring expertise the analysis of biological datasets. The services provided include the analysis of large-scale datasets (e.g. next-gen sequencing data, microarrays, etc.), the development of customized databases and reusable analysis pipelines, guidance on experimental design, support with technical sections of manuscripts and grants, and training on analysis software packages. All services are charged at our hourly rate.

Proper citation: La Jolla Institute for Allergy and Immunology Bioinformatics Core Facility (RRID:SCR_014831) Copy   

•   Source: SciCrunch Registry

https://wistar.org/research-discoveries/shared-resources/bioinformatics-facility

Core provides High Throughput Data Analysis, Customized Bioinformatics Services, Custom Programming, High Performance Computing, Data management. Located in the Center for Systems and Computational Biology. Provides Cancer Center investigators with database management, software application support, expertise in statistical analyses and computational modeling of biomedical research data.

Proper citation: Wistar Bioinformatics Core Facility (RRID:SCR_010203) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/applied-bioinformatics-core

THIS RESOURCE IS NO LONGER IN SERVICE, documented January 23, 2019. Core supports SBMRI investigators in exploring, understanding and analyzing complex biological data. Core is equipped with cutting-edge computational infrastructure and a selective collection of bioinformatics software. Core's services include consultation, data analysis and management, software development, and accessing to large computing resources. To meet various demands from the investigators, we provide services at multiple levels, from full service to cost-effective limited service as well as collaborative projects requiring longer-term commitment of time and effort.

Proper citation: Sanford-Burnham Applied Bioinformatics Core Facility (RRID:SCR_012208) Copy   

•   Source: SciCrunch Registry

http://www.cvrgrid.org/

Infrastructure for sharing cardiovascular data and data analysis tools. Human ExVivo heart data set and canine ExVivo normal and failing heart data sets are available. Canine hearts atlas and human InVivo atlases are available.

Proper citation: CardioVascular Research Grid (CVRG) (RRID:SCR_004472) Copy   

•   Source: SciCrunch Registry

http://www.geenivaramu.ee/en/

The Estonian Biobank is the population-based biobank of the EGCUT. The project is conducted in accordance with the Estonian Genes Research Act and all participants have signed a broad informed consent form (www.biobank.ee and Metspalu 2004, Drug Dev. Res.). As of December 2011, the biobank contains 51,515 participants (gene donors). The database of genotypic, phenotypic, health and genealogical information represents about 5% of Estonia''s adult population, and is the largest cohort ever gathered in Estonia. The age, sex and geographical distribution of this cohort reflect the structure of the adult population in Estonia. The database enables to conduct research in order to find links between genes, environmental factors, lifestyles and complex diseases or other traits. Active use of the biobank has started and although the first users are researchers all over the world with hundreds of different projects currently underway, industry is also interested. At the international level, the EGCUT will join the BBMRI follow-up program (ERIC) and through this channel provide service (biobanking, genotyping, sequencing and data analysis) for the centers in Europe who need it. Currently, the first follow-up study is underway and the molecular information of the cohort will be increased. For example, we have over 12 000 DNA samples analyzed by high density genotyping arrays and over 10 000 plasma samples analyzed by NMR scans, over 1000 individuals with RNA expression arrays, 2000 individuals with clinical laboratory analysis (over 40 tests) and over 60 full genomes are under deep sequencing. The infrastructure of the EGCUT includes a laboratory for DNA genotyping and next generation sequencing all based on Illumina platforms (HiScanSQ, HiSeq2000 and robotics), an IT unit (databases) with required computing power and storage space (1.2PB), data analysis team (bioinformatics and statistical genetics) and last but not least, a patient recruitment unit (health records, lifestyle and environmental information and biological samples ����?����������?? DNA, plasma and WBC from all 51515 gene donors). This is all located on 1000m2 in a brand new laboratory building, Riia str 23, Tartu, Estonia.

Proper citation: Estonian Genome Center (RRID:SCR_004467) Copy   

•   Source: SciCrunch Registry

http://www.biostars.org/

A question answer forum for scientists, focusing on methods in bioinformatics, computational genomics and biological data analysis. They welcome detailed and specific posts, written clearly and simply.

Proper citation: BioStar (RRID:SCR_002580) Copy   

•   Source: SciCrunch Registry

http://www.nikoninstruments.com/Products/Software/NIS-Elements-Basic-Research

Software tool for acquisition and device control for standard research applications, requiring four dimensional imaging. Provides access to advanced image capture, archiving, and analysis solutions that are easy-to-use and provide maximum workflow. Handles multi dimensional imaging with support for capture, display, data management, analysis and additional options for peripheral device control, and multi-dimensional acquisition. Provides advanced image processing options such as database capabilities and report generation, intensity over time measurement, and Extended Depth of Focus functionality.

Proper citation: NIS-Elements Basic Research (RRID:SCR_002776) Copy   

•   Source: SciCrunch Registry

http://www.berkeleybop.org/

The BBOP, located at the Lawrence Berkeley National Labs, is a diverse group of scientific researchers and software engineers dedicated to developing tools and applying computational technologies to solve biological problems. Members of the group contribute to a number of projects, including the Gene Ontology, OBO Foundry, the Phenotypic Quality Ontology, modENCODE, and the Generic Model Organism Database Project. Our group is focused on the development, use, and integration of ontolgies into biological data analysis. Software written or maintained by BBOP is accessible through the site.

Proper citation: Berkeley Bioinformatics Open-Source Projects (RRID:SCR_006704) Copy   

•   Source: SciCrunch Registry

http://www.readout.info

Matlab toolbox that makes it easy to apply decoding analyses to neural data. The design of the toolbox revolves around four abstract object classes which enables users to interchange particular modules in order to try different analyses while keeping the rest of the processing stream intact. The toolbox is capable of analyzing data from many different types of recording modalities, and examples are given on how it can be used to decode basic visual information from neural spiking activity and how it can be used to examine how invariant the activity of a neural population is to stimulus transformations.

Proper citation: Neural Decoding Toolbox (RRID:SCR_009012) Copy   

•   Source: SciCrunch Registry

http://dbbb.georgetown.edu/research/bioinformatics/

THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016.

Proper citation: GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab (RRID:SCR_005708) Copy   

•   Source: SciCrunch Registry

https://biit.cs.ut.ee/

The Bioinformatics, Algorithmics, and Data Mining group BIIT lead by prof. Jaak Vilo is a joint research group between the Department of Computer Science (University of Tartu), Quretec, and the Estonian Biocenter. Our main research topics and capabilities include the gene regulation, gene expression data analysis, biological data mining, systems biology, combinatorial pattern matching, developing software for biomedical research databases, as well as partnering in stem cell and cancer related projects. Software * MEM - Multi-Experiment-Matrix -- large-scale gene expression data queries and mining (Genome Biology 2009) * g:Profiler family of tools for functional assessment of gene groups, gene ID mappings, orthology and expression similarity searches. (NAR web server issue 2007) * KEGGanim - visualisation of high-throughput data on biological pathway charts (Bioinformatics, 2007) * GraphWeb - a tool for mining large biological networks (NAR Web server issue 2008) * FunGenES data atlas * More software tools

Proper citation: BIIT - Bioinformatics Algorithmics and Data Mining Group (RRID:SCR_005690) Copy   

•   Source: SciCrunch Registry

http://knime.org/

KNIME (Konstanz Information Miner) is a user-friendly and comprehensive Open-Source data integration, processing, analysis, and exploration platform. KNIME (naim) is a user-friendly graphical workbench for the entire analysis process: data access, data transformation, initial investigation, powerful predictive analytics, visualization and reporting. The open integration platform provides over 1000 modules (nodes), including those of the KNIME community and its extensive partner network. KNIME can be downloaded onto the desktop and used free of charge. KNIME products include additional functionalities such as shared repositories, authentication, remote execution, scheduling, SOA integration and a web user interface as well as world-class support. Robust big data extensions are available for distributed frameworks such as Hadoop. KNIME is used by over 3000 organizations in more than 60 countries. The modular data exploration platform, initially developed at the University of Konstanz, Germany, enables the user to visually create data flows, execute selected analysis steps, and later investigate the results through interactive views on data and models. KNIME is a proven integration platform for tools of numerous vendors due to its open and modular API. The KNIME.com product pipeline includes an Enterprise Server, Cluster Execution, Reporting solutions, and professional KNIME support subscriptions. KNIME.com also offer services such as data analysis, hands-on training and the development of customized components for KNIME.

Proper citation: Knime (RRID:SCR_006164) Copy   

•   Source: SciCrunch Registry

http://www.vistrails.org/

Open-source scientific workflow and provenance management system that provides support for simulations, data exploration and visualization. It was designed to manage these rapidly-evolving workflows. VisTrails has a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the workflows that derive these products and their executions. This information is persisted as XML files or in a relational database, and it allows users to navigate workflow versions in an intuitive way, to undo changes but not lose any results, to visually compare different workflows and their results, and to examine the actions that led to a result. It also enables a series operations and user interfaces that simplify workflow design and use, including the ability to create and refine workflows by analogy and to query workflows by example. VisTrails supports the creation and execution of workflows. It allows the combination of loosely-coupled resources, specialized libraries, grid and Web services. The released version comes with support for several packages including, VTK, Image Magick, Web Services, and pylab. You can also download packages contributed by users, as well as create your own packages/modules. Workflows can be run interactively, through the VisTrails GUI, or in batch using a VisTrails server. VisTrails is written in Python and it uses the multi-platform Qt library for its user interface. It runs on Mac, Linux and Windows. Provenance-rich results derived by VisTrails can be included in LaTeX, Wiki, Microsoft Word and PowerPoint documents.

Proper citation: VisTrails (RRID:SCR_006261) Copy   

•   Source: SciCrunch Registry

http://www.mathworks.com/help/fuzzy/index.html

A software toolbox which provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating fuzzy logic systems. Fuzzy Logic Toolbox allows users to model complex system behaviors using simple logic rules, and then implement these rules in a user-designed fuzzy inference system. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox can be used as a stand-alone fuzzy inference engine or in connection with Simulink. Different versions of the software are available for specific fuzzy inference systems.

Proper citation: Fuzzy Logic Toolbox (RRID:SCR_014268) Copy   

•   Source: SciCrunch Registry

http://psykinematix.com/

Standalone solution dedicated to Visual Psychophysics running on Mac OS X. Psykinematix runs standard psychophysical protocols, presents complex stimuli, collects subject's responses, and analyzes results on the fly. It consists of a unique OpenGL-based software package that does not require any programming skill to create and run complex experiments.

Proper citation: Psykinematix (RRID:SCR_014830) Copy   

•   Source: SciCrunch Registry