SyntenyTracker: a tool for defining homologous synteny blocks using radiation hybrid maps and whole-genome sequenceReport as inadecuate




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BMC Research Notes

, 2:148

First Online: 23 July 2009Received: 05 February 2009Accepted: 23 July 2009DOI: 10.1186-1756-0500-2-148

Cite this article as: Donthu, R., Lewin, H.A. & Larkin, D.M. BMC Res Notes 2009 2: 148. doi:10.1186-1756-0500-2-148

Abstract

BackgroundThe recent availability of genomic sequences and BAC libraries for a large number of mammals provides an excellent opportunity for identifying comparatively-anchored markers that are useful for creating high-resolution radiation-hybrid RH and BAC-based comparative maps. To use these maps for multispecies genome comparison and evolutionary inference, robust bioinformatic tools are required for the identification of chromosomal regions shared between genomes and to localize the positions of evolutionary breakpoints that are the signatures of chromosomal rearrangements. Here we report an automated tool for the identification of homologous synteny blocks HSBs between genomes that tolerates errors common in RH comparative maps and can be used for automated whole-genome analysis of chromosome rearrangements that occur during evolution.

FindingsWe developed an algorithm and software tool SyntenyTracker that can be used for automated definition of HSBs using pair-wise RH or gene-based comparative maps as input. To verify correct implementation of the underlying algorithm, SyntenyTracker was used to identify HSBs in the cattle and human genomes. Results demonstrated 96% agreement with HSBs defined manually using the same set of rules. A comparison of SyntenyTracker with the AutoGRAPH synteny tool was performed using identical datasets containing 14,380 genes with 1:1 orthology in human and mouse. Discrepancies between the results using the two tools and advantages of SyntenyTracker are reported.

ConclusionSyntenyTracker was shown to be an efficient and accurate automated tool for defining HSBs using datasets that may contain minor errors resulting from limitations in map construction methodologies. The utility of SyntenyTracker will become more important for comparative genomics as the number of mapped and sequenced genomes increases.

Electronic supplementary materialThe online version of this article doi:10.1186-1756-0500-2-148 contains supplementary material, which is available to authorized users.

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Author: Ravikiran Donthu - Harris A Lewin - Denis M Larkin

Source: https://link.springer.com/







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