title: SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand.
abstract: The identification of conserved syntenic regions enables discovery of predicted locations for orthologous and homeologous genes, even when no such gene is present. This capability means that synteny-based methods are far more effective than sequence similarity-based methods in identifying true-negatives, a necessity for studying gene loss and gene transposition. However, the identification of syntenic regions requires complex analyses which must be repeated for pairwise comparisons between any two species. Therefore, as the number of published genomes increases, there is a growing demand for scalable, simple-to-use applications to perform comparative genomic analyses that cater to both gene family studies and genome-scale studies. We implemented SynFind, a web-based tool that addresses this need. Given one query genome, SynFind is capable of identifying conserved syntenic regions in any set of target genomes. SynFind is capable of reporting per-gene information, useful for researchers studying specific gene families, as well as genome-wide data sets of syntenic gene and predicted gene locations, critical for researchers focused on large-scale genomic analyses. Inference of syntenic homologs provides the basis for correlation of functional changes around genes of interests between related organisms. Deployed on the CoGe online platform, SynFind is connected to the genomic data from over 15,000 organisms from all domains of life as well as supporting multiple releases of the same organism. SynFind makes use of a powerful job execution framework that promises scalability and reproducibility. SynFind can be accessed at http://genomevolution.org/CoGe/SynFind.pl. A video tutorial of SynFind using Phytophthrora as an example is available at http://www.youtube.com/watch?v=2Agczny9Nyc.
authors.affiliation: Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China School of Plant Sciences, iPlant Collaborative, University of Arizona.
authors.forename: Haibao
authors.initials: H
authors.lastname: Tang
authors.affiliation: School of Plant Sciences, iPlant Collaborative, University of Arizona.
authors.forename: Matthew D
authors.initials: MD
authors.lastname: Bomhoff
authors.affiliation: School of Plant Sciences, iPlant Collaborative, University of Arizona.
authors.forename: Evan
authors.initials: E
authors.lastname: Briones
authors.affiliation: Center for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, Fujian Province, China.
authors.forename: Liangsheng
authors.initials: L
authors.lastname: Zhang
authors.affiliation: Department of Agronomy and Horticulture, University of Nebraska, Lincoln.
authors.forename: James C
authors.initials: JC
authors.lastname: Schnable
authors.affiliation: School of Plant Sciences, iPlant Collaborative, University of Arizona elyons.uoa@gmail.com.
authors.forename: Eric
authors.initials: E
authors.lastname: Lyons
mesh_terms: D016678:Genome; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software; D026801:Synteny
keywords: cyberinfrastructure; genome evolution; homology; synteny