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URL: http://www.tm4.org/madam.html
Proper Citation: MADAM (RRID:SCR_001216)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022.Data management software implemented in Java that facilitates the entry of data into a relational database. It guides users through the microarray process from RNA procurement to data analysis, offering intelligent forms to simplify the tracking of experimental parameters and results that are essential for the interpretation of expression results in downstream analyses. Canned reports provide information on RNA samples, studies, slide maps and other pertinent data and a general SQL query window allows freeform access to the underlying database. MADAM also serves as a platform for launching other data entry and management tools. Through the use of these integrated modules, users can view and score PCR plates, design experiments and studies, and track laboratory materials.
Abbreviations: MADAM
Synonyms: MADAM (TM4 Microarray Software Suite), TM4 Microarray Software Suite: MicroArray DAta Manager, MADAM: MicroArray DAta Manager, TM4 Microarray Software Suite: MADAM, MicroArray DAta Manager, TM4 MADAM
Resource Type: data management software, software application, software resource
Defining Citation: PMID:20193058
Keywords: microarray, data management software, rna
Availability: THIS RESOURCE IS NO LONGER IN SERVICE
Resource Name: MADAM
Resource ID: SCR_001216
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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
