Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

MERAV

General information

URL: http://merav.wi.mit.edu
Full name: Metabolic gEne RApid Visualizer
Description: The Metabolic gEne RApid Visualizer (MERAV) website is designed to analyze human gene expression across a large variety of arrays.
Year founded: 2016
Last update: 2016-01-04
Version:
Accessibility:
Accessible
Country/Region: United States

Classification & Tag

Data type:
DNA
Data object:
NA
Database category:
Major species:
Keywords:

Contact information

University/Institution: Whitehead Institute
Address: Nine Cambridge Center, Cambridge, MA 02142, USA
City: Cambridge
Province/State: MA
Country/Region: United States
Contact name (PI/Team): Yoav D. Shaul
Contact email (PI/Helpdesk): yoavsh@ekmd.huji.ac.il

Publications

26626150
MERAV: a tool for comparing gene expression across human tissues and cell types. [PMID: 26626150]
Shaul YD, Yuan B, Thiru P, Nutter-Upham A, McCallum S, Lanzkron C, Bell GW, Sabatini DM.

The oncogenic transformation of normal cells into malignant, rapidly proliferating cells requires major alterations in cell physiology. For example, the transformed cells remodel their metabolic processes to supply the additional demand for cellular building blocks. We have recently demonstrated essential metabolic processes in tumor progression through the development of a methodological analysis of gene expression. Here, we present the Metabolic gEne RApid Visualizer (MERAV, http://merav.wi.mit.edu), a web-based tool that can query a database comprising ?4300 microarrays, representing human gene expression in normal tissues, cancer cell lines and primary tumors. MERAV has been designed as a powerful tool for whole genome analysis which offers multiple advantages: one can search many genes in parallel; compare gene expression among different tissue types as well as between normal and cancer cells; download raw data; and generate heatmaps; and finally, use its internal statistical tool. Most importantly, MERAV has been designed as a unique tool for analyzing metabolic processes as it includes matrixes specifically focused on metabolic genes and is linked to the Kyoto Encyclopedia of Genes and Genomes pathway search. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 104 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
1303/6895 (81.117%)
Health and medicine:
314/1738 (81.991%)
Expression:
254/1347 (81.218%)
Pathway:
77/451 (83.149%)
1303
Total Rank
98
Citations
10.889
z-index

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Record metadata

Created on: 2016-01-01
Curated by:
[2018-11-28]
Lina Ma [2016-04-12]
Lin Liu [2016-03-29]
Lin Liu [2016-03-27]
Mengwei Li [2016-02-21]
Lin Liu [2016-01-27]
Lin Liu [2016-01-01]