Databases and information integration for the Medicago truncatula genome and transcriptome

Steven B. Cannon, John A. Crow, Michael L. Heuer, Xiaohong Wang, Ethalinda K.S. Cannon, Christopher Dwan, Anne Francoise Lamblin, Jayprakash Vasdewani, Joann Mudge, Andrew Cook, John Gish, Foo Cheung, Steve Kenton, Timothy M. Kunau, Douglas Brown, Gregory D. May, Dongjin Kim, Douglas R. Cook, Bruce A. Roe, Chris D. TownNevin D Young, Ernest F. Retzel

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


An international consortium is sequencing the euchromatic genespace of Medicago truncatula. Extensive bioinformatic and database resources support the marker-anchored bacterial artificial chromosome (BAC) sequencing strategy. Existing physical and genetic maps and deep BAC-end sequencing help to guide the sequencing effort, while EST databases provide essential resources for genome annotation as well as transcriptome characterization and microarray design. Finished BAC sequences are joined into overlapping sequence assemblies and undergo an automated annotation process that integrates ab initio predictions with EST, protein, and other recognizable features. Because of the sequencing project's international and collaborative nature, data production, storage, and visualization tools are broadly distributed. This paper describes databases and Web resources for the project, which provide support for physical and genetic maps, genome sequence assembly, gene prediction, and integration of EST data. A central project Web site at provides access to genome viewers and other resources project-wide, including an Ensembl implementation at, physical map and marker resources at, and genome viewers at the University of Oklahoma (, the Institute for Genomic Research (, and Munich Information for Protein Sequences Center (

Original languageEnglish (US)
Pages (from-to)38-46
Number of pages9
JournalPlant physiology
Issue number1
StatePublished - 2005


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