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URL: http://www.webarraydb.org/webarray/index.html
Proper Citation: WebArrayDB (RRID:SCR_005577)
Description: An open source integrated microarray database and analysis suite that features convenient uploading of data for storage in a MIAME (Minimal Information about a Microarray Experiment) compliant fashion. It allows data to be mined with a large variety of R-based tools, including data analysis across multiple platforms. Different methods for probe alignment, normalization and statistical analysis are included to account for systematic bias. Student's t-test, moderated t-tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices of algorithms for differential analysis of data. Users also have the flexibility to define new factors and create new analysis models to fit complex experimental designs. All data can be queried or browsed through a web browser. The computations can be performed in parallel on symmetric multiprocessing (SMP) systems or Linux clusters.
Abbreviations: WebArrayDB
Resource Type: analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, software resource, storage service resource
Defining Citation: PMID:19602526
Funding: Prostate Cancer Foundation ; Mary Kay Ash Foundation ; NIH ; NIAI R01AI034829; NIAI R01AI052237; NCI R01CA68822; NCI U01CA114810
Availability: Open source, Account required, The software package is available for the use on a public web server or can be downloaded
Resource Name: WebArrayDB
Resource ID: SCR_005577
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
