Translog, a web browser for studying the expression divergence of homologous genes.
BACKGROUND
Increasing amount of data from comparative genomics, and newly developed technologies producing accurate gene expression data facilitate the study of the expression divergence of homologous genes. Previous studies have individually highlighted factors that contribute to the expression divergence of duplicate genes, e.g. promoter changes, exon structure heterogeneity, asymmetric histone modifications and genomic neighborhood conservation. However, there is a lack of a tool to integrate multiple factors and visualize their variety among homologous genes in a straightforward way.


RESULTS
We introduce Translog (a web-based tool for Transcriptome comparison of homologous genes) that assists in the comparison of homologous genes by displaying the loci in three different views: promoter view for studying the sharing/turnover of transcription initiations, exon structure for displaying the exon-intron structure changes, and genomic neighborhood to show the macro-synteny conservation in a larger scale. CAGE data for transcription initiation are mapped for each transcript and can be used to study transcription turnover and expression changes. Alignment anchors between homologous loci can be used to define the precise homologous transcripts. We demonstrate how these views can be used to visualize the changes of homologous genes during evolution, particularly after the 2R and 3R whole genome duplication.


CONCLUSIONS
We have developed a web-based tool for assisting in the transcriptome comparison of homologous genes, facilitating the study of expression divergence.
Dong
Xianjun
X
Computational Biology Unit, Bergen Center for Computational Science, University of Bergen, Thormøhlensgate 55, N-5008 Bergen, Norway. xianjun.dong@bccs.uib.no
Akalin
Altuna
A
Sharma
Yogita
Y
Lenhard
Boris
B
D030541:Databases, Genetic; D020869:Gene Expression Profiling; D016678:Genome; D023281:Genomics / Q000379:methods*; D020407:Internet; D012045:Regulatory Sequences, Nucleic Acid; D012984:Software