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XenDB | Full length cDNA prediction and cross species mapping in Xenopus laevis


Allows individual and batch queries using Xenopus accession, GI, and XenDB, UniGene and TIGR cluster IDs. The XenDB database is designed to address a critical issue facing many researchers: the comparison of genomic studies in one organism and their application to studies in another model organism. Using the XenDB system, the biologist can identify sequences of interest using simple gene name queries, accessions, or gene ontologies.

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XenDB classification

XenDB specifications

Unique identifier:
Database management system:
Data access:
Restrictions to use:
Community driven:
User data submission:
Not allowed

XenDB support


  • Curtis Altmann <>


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FSU College of Medicine, Department of Biomedical Sciences, Tallahassee, FL, USA; AG Praktische Informatik, Technische Fakultät, Bielefeld, Germany; The Rockefeller University, Laboratory of Molecular Vertebrate Embryology, New York, NY, USA

Funding source(s)

This work was supported by an FSU Research Foundation Program Enhancement Grant.

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